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Description
Introduction to Learn Advanced Python Programming Course
Introduction to Learn Advanced Python Programming Course is designed to help Python developers take their programming skills to the next level.
This course provides an overview of advanced Python programming concepts and libraries and teaches students how to build complex applications using object-oriented programming, functional programming, and database management.
Students will learn how to use popular Python libraries such as NumPy, Pandas, and Matplotlib for data analysis and visualization, and will gain hands-on experience with web development using popular frameworks such as Django .
By the end of this course, students will have developed the skills needed to build real-world applications using Python and will be well-equipped to take on more advanced programming challenges.
Outlines for Learn Advanced Python Programming
Chapter 01
What is Advanced Python?
What you can learn in Advanced Python
Why learn Advanced Python?
Chapter 02
Introduction to functional programming
Lambda functions
Map, filter, and reduce functions
Generators and iterators (Yields and Next function)
Decorators
Chapter 03
Introduction to OOP
Classes and Objects
Data member and member function
self keyword
Constructor and Destructor
Inheritance and types
super keyword
Polymorphism
Access specifiers
Chapter 04
What is regular expression
Regular expression in python
Where to use regular expression
Special Sequences
Quantifiers
Set
Chapter 05
What is Database and DBMS
Why need of database
Different libraries and modules to connect to a database
Setup Environment
Setting up the connection to a database
Create Database and Table
CRUD operations (Insert, select, update delete)
Where clause
Limit
Chapter 06
Introduction to input and output operations
Reading (Input) and writing (Output)
Reading CSV file and Writing to it
Reading Excel file and Writing to it
Reading JSON file and Writing to it
Chapter 07
Introduction to popular Python libraries and frameworks
NumPy
Pandas
Matplotlib
Django
Excel
Chapter 08
What is web scraping and why is it important?
Overview of Python libraries for web scraping
Setting up the environment for web scraping
Overview Web page Structure (HTML and CSS)
Installing and setting up Beautiful Soup
Web scraping techniques using Beautiful Soup
What you will learn from this Advanced Python Programming Course?
1. This course is designed to take your Python skills to the next level by introducing you to a range of advanced topics. You will learn about functional programming, object-oriented programming, regular expressions, database connections, input/output operations, popular Python libraries, and web scraping techniques. By the end of the course, you will have a solid understanding of how to use these advanced Python concepts and tools to solve complex problems and build powerful applications.
2. Throughout the course, you will dive into the fundamentals of functional programming, including the use of lambda functions, map, filter, and reduce functions, decorators, generators, and iterators. You will also gain proficiency in object-oriented programming concepts such as classes and objects, constructor and destructor, inheritance, polymorphism, and access specifiers.
3. You will explore the power of regular expressions and learn how to use them effectively in Python to search, match, and manipulate text. You will learn about the basics of databases, how to connect Python to a database, and perform CRUD operations. Additionally, you will be able to work with different file formats such as CSV, JSON, and pickling.
4. In this course, you will also be introduced to popular Python libraries such as NumPy, Pandas, Matplotlib, Django, and Excel. You will understand how to use these libraries and frameworks for data analysis, data visualization, and web development.
5. Finally, you will learn about web scraping and why it is important. You will learn about the tools and techniques to set up your environment for web scraping and parse the web page structure using HTML and CSS. You will also use the Beautiful Soup library to extract data from websites.
Instructor Experiences and Education:
Faisal Zamir is an experienced programmer and an expert in the field of computer science. He holds a Master's degree in Computer Science and has over 7 years of experience working in schools, colleges, and university. Faisal is a highly skilled instructor who is passionate about teaching and mentoring students in the field of computer science.
As a programmer, Faisal has worked on various projects and has experience in multiple programming languages, including PHP, Java, and Python. He has also worked on projects involving web development, software engineering, and database management. This broad range of experience has allowed Faisal to develop a deep understanding of the fundamentals of programming and the ability to teach complex concepts in an easy-to-understand manner.
As an instructor, Faisal has a proven track record of success. He has taught students of all levels, from beginners to advanced, and has a passion for helping students achieve their goals. Faisal has a unique teaching style that combines theory with practical examples, which allows students to apply what they have learned in real-world scenarios.
Overall, Faisal Zamir is a skilled programmer and a talented instructor who is dedicated to helping students achieve their goals in the field of computer science. With his extensive experience and proven track record of success, students can trust that they are learning from an expert in the field.
What you can do after this Course?
· Understand how to use functional programming to write clean, concise, and efficient code.
· Develop an object-oriented approach to problem-solving and build complex applications with ease.
· Create regular expressions to validate input and extract relevant information from text data.
· Connect to different database management systems using Python libraries such as SQLite, MySQL, and PostgreSQL.
· Use Python's built-in functions to read, write, and manipulate files in different formats.
· Master popular Python libraries such as NumPy for numerical computing, Pandas for data manipulation and analysis, Matplotlib for data visualization, and Django for web development.
· Gain hands-on experience with web scraping techniques to extract data from websites and use it to build data-driven applications.
· Learn how to debug and optimize code for improved performance and scalability.
· Gain knowledge of the best practices for software engineering and be able to apply them to your Python projects.
· Understand how to use Python to solve real-world problems in fields such as finance, healthcare, and engineering.
Will you be able to Make Money with Python after this Course?
Ultimately, success in making money with Python depends on a combination of factors, including the individual's skills and experience, the job market and industry trends, and the effort and dedication put into building a career.
However, the "Advanced Python Programming" course is a great place to start for anyone interested in pursuing a career in software development or related fields.
30 Days Money Back Guarantee Learn Advanced Python Programming
Yes, the "Learn Advanced Python Programming" course comes with a 30-day money-back guarantee. We are confident in the quality of our course and believe that it will provide you with the skills and knowledge you need to succeed in Python programming.
However, if you find that the course does not meet your expectations or does not meet your learning needs, you can request a refund within 30 days of purchase. Our goal is to ensure that you have a positive learning experience and that you are satisfied with the course.
Thank you
Faisal Zamir
Description
Want to learn Web Design & Web Development Skills? Then this is the RIGHT course For you! Many languages came and disappear but JavaScript is language that is enjoying a high run and demand in the programming world. The very first things you need to learn HTML5, CSS3, JavaScript and JQuery to become a Web Developer and off-course some Web Design Guidelines. This course will exactly teach you all these New Skills to become a good Web Developer. In this course, you will also learn Web Design Guidelines, which you can apply to Real World Websites.
This course will first give basic understanding of HTML5, CSS3, JavaScript, JQuery and then by combining all these skills, you will Build a Modern Looking Responsive Website which will look Great on all the Small and Wide Screens.
JavaScript is THE most important programming language you need to learn as a web developer - and with this course, you make sure that you will not miss a single thing you have to know as a JavaScript developer!
This is the most comprehensive and modern course you can find on JavaScript - it's based on all my JavaScript knowledge AND teaching experience. It's both a complete guide, starting with the core basics of the language, as well as an extensive reference of the JavaScript language and environment, ensuring that both newcomers as well as experienced JavaScript developers get a lot out of this course!
It's a huge course because it's packed with important knowledge and helpful content. From the core basics, over advanced concepts and JavaScript specialties, all the way up to expert topics like performance optimization and testing - this course has it all. My goal was to create your go-to resource for the JavaScript language, which you can not just use for learning it but also as a resource you can come back to and look up important topics.
Description
You're looking for a complete Course on Deep Learning using Keras and Tensorflow that teaches you everything you need to create a Neural Network model in Python and R, right?
You've found the right Neural Networks course!
After completing this course you will be able to:
Identify the business problem which can be solved using Neural network Models.
Have a clear understanding of Advanced Neural network concepts such as Gradient Descent, forward and Backward Propagation etc.
Create Neural network models in Python and R using Keras and Tensorflow libraries and analyze their results.
Confidently practice, discuss and understand Deep Learning concepts
How this course will help you?
A Verifiable Certificate of Completion is presented to all students who undertake this Neural networks course.
If you are a business Analyst or an executive, or a student who wants to learn and apply Deep learning in Real world problems of business, this course will give you a solid base for that by teaching you some of the most advanced concepts of Neural networks and their implementation in Python without getting too Mathematical.
Why should you choose this course?
This course covers all the steps that one should take to create a predictive model using Neural Networks.
Most courses only focus on teaching how to run the analysis but we believe that having a strong theoretical understanding of the concepts enables us to create a good model . And after running the analysis, one should be able to judge how good the model is and interpret the results to actually be able to help the business.
What makes us qualified to teach you?
The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using Deep learning techniques and we have used our experience to include the practical aspects of data analysis in this course
We are also the creators of some of the most popular online courses - with over 250,000 enrollments and thousands of 5-star reviews like these ones:
This is very good, i love the fact the all explanation given can be understood by a layman - Joshua
Thank you Author for this wonderful course. You are the best and this course is worth any price. - Daisy
Our Promise
Teaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message.
Download Practice files, take Practice test, and complete Assignments
With each lecture, there are class notes attached for you to follow along. You can also take practice test to check your understanding of concepts. There is a final practical assignment for you to practically implement your learning.
What is covered in this course?
This course teaches you all the steps of creating a Neural network based model i.e. a Deep Learning model, to solve business problems.
Below are the course contents of this course on ANN:
Part 1 - Python and R basics
This part gets you started with Python.
This part will help you set up the python and Jupyter environment on your system and it'll teach you how to perform some basic operations in Python. We will understand the importance of different libraries such as Numpy, Pandas & Seaborn.
Part 2 - Theoretical Concepts
This part will give you a solid understanding of concepts involved in Neural Networks.
In this section you will learn about the single cells or Perceptrons and how Perceptrons are stacked to create a network architecture. Once architecture is set, we understand the Gradient descent algorithm to find the minima of a function and learn how this is used to optimize our network model.
Part 3 - Creating Regression and Classification ANN model in Python and R
In this part you will learn how to create ANN models in Python.
We will start this section by creating an ANN model using Sequential API to solve a classification problem. We learn how to define network architecture, configure the model and train the model. Then we evaluate the performance of our trained model and use it to predict on new data. We also solve a regression problem in which we try to predict house prices in a location. We will also cover how to create complex ANN architectures using functional API. Lastly we learn how to save and restore models.
We also understand the importance of libraries such as Keras and TensorFlow in this part.
Part 4 - Data Preprocessing
In this part you will learn what actions you need to take to prepare Data for the analysis, these steps are very important for creating a meaningful.
In this section, we will start with the basic theory of decision tree then we cover data pre-processing topics like missing value imputation, variable transformation and Test-Train split.
By the end of this course, your confidence in creating a Neural Network model in Python will soar. You'll have a thorough understanding of how to use ANN to create predictive models and solve business problems.
Go ahead and click the enroll button, and I'll see you in lesson 1!
Cheers
Start-Tech Academy
------------
Below are some popular FAQs of students who want to start their Deep learning journey-
Why use Python for Deep Learning?
Understanding Python is one of the valuable skills needed for a career in Deep Learning.
Though it hasn’t always been, Python is the programming language of choice for data science. Here’s a brief history:
In 2016, it overtook R on Kaggle, the premier platform for data science competitions.
In 2017, it overtook R on KDNuggets’s annual poll of data scientists’ most used tools.
In 2018, 66% of data scientists reported using Python daily, making it the number one tool for analytics professionals.
Deep Learning experts expect this trend to continue with increasing development in the Python ecosystem. And while your journey to learn Python programming may be just beginning, it’s nice to know that employment opportunities are abundant (and growing) as well.
What is the difference between Data Mining, Machine Learning, and Deep Learning?
Put simply, machine learning and data mining use the same algorithms and techniques as data mining, except the kinds of predictions vary. While data mining discovers previously unknown patterns and knowledge, machine learning reproduces known patterns and knowledge—and further automatically applies that information to data, decision-making, and actions.
Deep learning, on the other hand, uses advanced computing power and special types of neural networks and applies them to large amounts of data to learn, understand, and identify complicated patterns. Automatic language translation and medical diagnoses are examples of deep learning.
Description
You're looking for a complete Linear Regression course that teaches you everything you need to create a Linear Regression model in Python, right?
You've found the right Linear Regression course!
After completing this course you will be able to:
Identify the business problem which can be solved using linear regression technique of Machine Learning.
Create a linear regression model in Python and analyze its result.
Confidently practice, discuss and understand Machine Learning concepts
A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning basics course.
How this course will help you?
If you are a business manager or an executive, or a student who wants to learn and apply machine learning in Real world problems of business, this course will give you a solid base for that by teaching you the most popular technique of machine learning, which is Linear Regression
Why should you choose this course?
This course covers all the steps that one should take while solving a business problem through linear regression.
Most courses only focus on teaching how to run the analysis but we believe that what happens before and after running analysis is even more important i.e. before running analysis it is very important that you have the right data and do some pre-processing on it. And after running analysis, you should be able to judge how good your model is and interpret the results to actually be able to help your business.
What makes us qualified to teach you?
The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using machine learning techniques and we have used our experience to include the practical aspects of data analysis in this course
We are also the creators of some of the most popular online courses - with over 150,000 enrollments and thousands of 5-star reviews like these ones:
This is very good, i love the fact the all explanation given can be understood by a layman - Joshua
Thank you Author for this wonderful course. You are the best and this course is worth any price. - Daisy
Our Promise
Teaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message.
Download Practice files, take Quizzes, and complete Assignments
With each lecture, there are class notes attached for you to follow along. You can also take quizzes to check your understanding of concepts. Each section contains a practice assignment for you to practically implement your learning.
What is covered in this course?
This course teaches you all the steps of creating a Linear Regression model, which is the most popular Machine Learning model, to solve business problems.
Below are the course contents of this course on Linear Regression:
Section 1 - Basics of Statistics
This section is divided into five different lectures starting from types of data then types of statistics
then graphical representations to describe the data and then a lecture on measures of center like mean
median and mode and lastly measures of dispersion like range and standard deviation
Section 2 - Python basic
This section gets you started with Python.
This section will help you set up the python and Jupyter environment on your system and it'll teach
you how to perform some basic operations in Python. We will understand the importance of different libraries such as Numpy, Pandas & Seaborn.
Section 3 - Introduction to Machine Learning
In this section we will learn - What does Machine Learning mean. What are the meanings or different terms associated with machine learning? You will see some examples so that you understand what machine learning actually is. It also contains steps involved in building a machine learning model, not just linear models, any machine learning model.
Section 4 - Data Preprocessing
In this section you will learn what actions you need to take a step by step to get the data and then prepare it for the analysis these steps are very important.
We start with understanding the importance of business knowledge then we will see how to do data exploration. We learn how to do uni-variate analysis and bi-variate analysis then we cover topics like outlier treatment, missing value imputation, variable transformation and correlation.
Section 5 - Regression Model
This section starts with simple linear regression and then covers multiple linear regression.
We have covered the basic theory behind each concept without getting too mathematical about it so that you understand where the concept is coming from and how it is important. But even if you don't understand it, it will be okay as long as you learn how to run and interpret the result as taught in the practical lectures.
We also look at how to quantify models accuracy, what is the meaning of F statistic, how categorical variables in the independent variables dataset are interpreted in the results, what are other variations to the ordinary least squared method and how do we finally interpret the result to find out the answer to a business problem.
By the end of this course, your confidence in creating a regression model in Python will soar. You'll have a thorough understanding of how to use regression modelling to create predictive models and solve business problems.
Go ahead and click the enroll button, and I'll see you in lesson 1!
Cheers
Start-Tech Academy
------------
Below is a list of popular FAQs of students who want to start their Machine learning journey-
What is Machine Learning?
Machine Learning is a field of computer science which gives the computer the ability to learn without being explicitly programmed. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.
What is the Linear regression technique of Machine learning?
Linear Regression is a simple machine learning model for regression problems, i.e., when the target variable is a real value.
Linear regression is a linear model, e.g. a model that assumes a linear relationship between the input variables (x) and the single output variable (y). More specifically, that y can be calculated from a linear combination of the input variables (x).
When there is a single input variable (x), the method is referred to as simple linear regression.
When there are multiple input variables, the method is known as multiple linear regression.
Why learn Linear regression technique of Machine learning?
There are four reasons to learn Linear regression technique of Machine learning:
1. Linear Regression is the most popular machine learning technique
2. Linear Regression has fairly good prediction accuracy
3. Linear Regression is simple to implement and easy to interpret
4. It gives you a firm base to start learning other advanced techniques of Machine Learning
How much time does it take to learn Linear regression technique of machine learning?
Linear Regression is easy but no one can determine the learning time it takes. It totally depends on you. The method we adopted to help you learn Linear regression starts from the basics and takes you to advanced level within hours. You can follow the same, but remember you can learn nothing without practicing it. Practice is the only way to remember whatever you have learnt. Therefore, we have also provided you with another data set to work on as a separate project of Linear regression.
What are the steps I should follow to be able to build a Machine Learning model?
You can divide your learning process into 4 parts:
Statistics and Probability - Implementing Machine learning techniques require basic knowledge of Statistics and probability concepts. Second section of the course covers this part.
Understanding of Machine learning - Fourth section helps you understand the terms and concepts associated with Machine learning and gives you the steps to be followed to build a machine learning model
Programming Experience - A significant part of machine learning is programming. Python and R clearly stand out to be the leaders in the recent days. Third section will help you set up the Python environment and teach you some basic operations. In later sections there is a video on how to implement each concept taught in theory lecture in Python
Understanding of Linear Regression modelling - Having a good knowledge of Linear Regression gives you a solid understanding of how machine learning works. Even though Linear regression is the simplest technique of Machine learning, it is still the most popular one with fairly good prediction ability. Fifth and sixth section cover Linear regression topic end-to-end and with each theory lecture comes a corresponding practical lecture where we actually run each query with you.
Why use Python for data Machine Learning?
Understanding Python is one of the valuable skills needed for a career in Machine Learning.
Though it hasn’t always been, Python is the programming language of choice for data science. Here’s a brief history:
In 2016, it overtook R on Kaggle, the premier platform for data science competitions.
In 2017, it overtook R on KDNuggets’s annual poll of data scientists’ most used tools.
In 2018, 66% of data scientists reported using Python daily, making it the number one tool for analytics professionals.
Machine Learning experts expect this trend to continue with increasing development in the Python ecosystem. And while your journey to learn Python programming may be just beginning, it’s nice to know that employment opportunities are abundant (and growing) as well.
What is the difference between Data Mining, Machine Learning, and Deep Learning?
Put simply, machine learning and data mining use the same algorithms and techniques as data mining, except the kinds of predictions vary. While data mining discovers previously unknown patterns and knowledge, machine learning reproduces known patterns and knowledge—and further automatically applies that information to data, decision-making, and actions.
Deep learning, on the other hand, uses advanced computing power and special types of neural networks and applies them to large amounts of data to learn, understand, and identify complicated patterns. Automatic language translation and medical diagnoses are examples of deep learning.
Description
Webflow is a powerful web design and development platform that allows you to create custom websites without writing any code. It's a great option for beginners, as it's easy to learn and use, and it gives you complete control over the design and functionality of your website.
In this course, you'll learn everything you need to know to get started with Webflow, from the basics of the interface to more advanced features like custom CSS and animations. You'll also build your own website from scratch, so you can put your new skills into practice.
What You'll Learn
In this course, you'll learn:
The basics of the Webflow interface
How to create and edit pages and layouts
How to add and customize elements
How to use Webflow's built-in design tools
How to create responsive websites
How to use custom CSS and animations
How to publish your website to the web
Who This Course Is For
This course is for anyone who wants to learn how to create and design websites using Webflow, including:
Beginners with no prior experience in web design or development
Experienced web designers who want to learn how to use Webflow
Freelancers and entrepreneurs who want to create their own websites without having to hire a developer
Requirements
To take this course, you'll need a computer with an internet connection. You don't need any prior experience in web design or development.
Enroll Today and Start Creating Your Own Websites with Webflow!
Description
Learn CSS And Javascript Complete Course For Beginners
Section 1- CSS Course with basics and advanced concepts of CSS
Ever wonder how the latest website designs are made? Cascading Style Sheets (CSS) are the main coding files used to layout a website and its design. CSS 3 is the latest in styling standards, and it brings several new properties and declarations you can use to make your website design more easily created. CSS is currently the only standard in website design that plugs directly into your HTML, even the latest HTML 5 standards. With CSS 3 and HTML 5, you can create the latest interactive pages for your website viewers.
This course shows you how to create CSS classes from a beginner's level. It starts off with basic HTML declarations, properties, values, and how to include a CSS style sheet with your HTML code. For those of you who are new to CSS and HTML, we show you step-by-step how to create a CSS file and include it in your HTML code, even if you use a cloud server for your hosting.
We show you how to position your elements, layout your elements relative to your documents, and style your HTML using predefined CSS values. We introduce you to the common CSS styling that you'll need when you start off designing your pages. If you want to get to know CSS and website design, this course is meant for you, and it can be used by anyone who hasn't even seen one line of CSS code yet. We focus on the latest CSS 3 and HTML 5 standards, so you get the latest when coding your website pages instead of focusing on older code.
There are no prerequisites. Anyone Can join this course. It is recommended though that individual have some basic computer programming knowledge.
Course Topics
Introduction to CSS
Inclusion Of CSS In HTML
CSS Syntax
CSS Styling Text
CSS Page Backgrounds
CSS 2D Transform
CSS 3D Transform
CSS Animation
And More....
Section 2- Learn Javascript Programming Language
The course is created with thorough, extensive, but easy-to-follow content that you’ll easily understand and absorb.
The course starts with the basics, including JavaScript fundamentals, programming, and user interaction.
The curriculum is going to be very hands-on as we walk you from start to finish to become a professional Javascript developer. We will start from the very beginning by teaching you Javascript basics and programming fundamentals, and then execute into real-life practice and be ready for the real world.
While Javascript is complicated for beginners to learn, it is widely used in many web development areas.
This course gets you started with an introduction to JavaScript. It assumes that you're new to the language, so it gets you started with basic functionality such as creating functions, creating variables, and calling these lines of code from your standard HTML pages. It talks about events and triggers for custom event handling. It talks about pattern matching, searching for text within a page, flow control, and the document object model (DOM). We start off with the basics and move on to more complex functionality such as arrays and objects. We then discuss how to script common elements with JavaScript such as forms and tables. At the very end, we discuss major libraries such as Ajax, which allows you to make asynchronous calls to server-side scripts without reloading the web page in the server.
Master the fundamentals of writing Javascript scripts
Learn core Javascript scripting elements such as variables and Objects
Discover how to work with lists and sequence data
Write Javascript functions to facilitate code reuse
Use Javascript to read and write files
Make their code robust by handling errors and exceptions properly
Search text using regular expressions
The topics covered in this course are:
* Javascript Course Contents:
Javascript Introduction
Javascript Array
Javascript Variables
Javascript Functions
Javascript Objects
Javascript Control Statements
Javascript Cookies
Javascript Loop statements
Javascript Data Structures
Javascript Error Handling
Javascript Regular Expressions
See you inside the course
Thank you see you inside the course
Description
Welcome to the comprehensive PHP and MySQL Web Development course on Udemy! Whether you're a beginner looking to learn web development or an experienced programmer aiming to enhance your skills, this course is designed to cater to your needs.
In this hands-on course, you will embark on a journey to master PHP and MySQL, two fundamental technologies that power dynamic web applications. Throughout the course, you will gain a solid foundation in PHP programming and understand how to leverage the power of MySQL to interact with databases.
Here's what you can expect from this course:
Beginner-Friendly Approach: Even if you have no prior experience with PHP or MySQL, fear not! We start from the basics and gradually progress to more advanced topics, ensuring that learners of all levels can follow along.
Practical Projects: Learning by doing is key, and this course is packed with practical examples and projects. You'll build real-world applications that showcase the power of PHP and MySQL, giving you the confidence to tackle your own projects.
In-Depth Concepts: From PHP syntax and control structures to database design and optimization, this course covers a wide range of essential topics. You'll learn about handling forms, user authentication, data manipulation, security measures, and much more.
Best Practices and Modern Techniques: Stay up-to-date with industry standards as we explore modern techniques and best practices for PHP and MySQL development. You'll discover how to write clean, maintainable code and implement efficient database queries.
Troubleshooting and Debugging: Learn how to identify and fix common issues that arise during PHP and MySQL development. Debugging techniques and error handling strategies will be covered to help you become a more proficient developer.
Resources and Support: Gain access to a wealth of resources, including downloadable code files, quizzes, and supplementary materials. Plus, the instructor and a vibrant community of learners will be there to answer your questions and provide support along the way.
By the end of this course, you'll be equipped with the knowledge and skills to create dynamic, database-driven web applications using PHP and MySQL. Whether you want to pursue a career in web development or enhance your existing skill set, this course is your gateway to success.
Description
Welcome to the HTML and CSS Web Development course on Udemy! If you're eager to learn the building blocks of web design and development, this course is perfect for you. Whether you're a complete beginner or have some experience with web development, this comprehensive course will equip you with the essential skills to create stunning websites.
Here's what you can expect from this course:
Beginner-Friendly Content: This course starts from the very basics, assuming no prior knowledge of HTML or CSS. We'll guide you step-by-step through the fundamentals, ensuring a smooth learning experience for learners of all levels.
Practical Hands-On Projects: Theory is important, but practice makes perfect! Throughout the course, you'll work on hands-on projects that allow you to apply what you've learned. By creating real-world websites and web pages, you'll gain confidence in your coding abilities.
HTML Mastery: Learn how to structure and organize web content using HTML (Hypertext Markup Language). You'll understand the purpose of HTML tags, how to create links, format text, insert images, and build forms to collect user data.
CSS Styling Techniques: Dive into the world of CSS (Cascading Style Sheets) and discover how to make your web pages visually appealing. You'll learn how to customize fonts, colors, backgrounds, and borders, as well as how to position and layout elements on the page.
Responsive Web Design: With the increasing use of mobile devices, it's crucial to create websites that adapt to different screen sizes. You'll explore responsive design principles and techniques, ensuring that your websites look great on any device.
Best Practices and Standards: Stay up-to-date with industry best practices and standards as we delve into semantic HTML and clean CSS coding techniques. You'll learn how to write well-structured code that is easy to maintain and collaborate on.
Troubleshooting and Debugging: Web development isn't without its challenges, but fear not! You'll discover common issues in HTML and CSS and learn effective debugging techniques to overcome them.
Resources and Support: Access a wealth of resources, including downloadable code files, quizzes, and supplementary materials. Engage with the instructor and a supportive community of learners to get your questions answered and receive guidance throughout the course.
By the end of this course, you'll have a solid understanding of HTML and CSS and be able to create visually appealing and responsive websites. Whether you're looking to pursue a career in web development or want to enhance your existing skill set, this course is your gateway to success.
Enroll now and unlock the power of HTML and CSS to create beautiful and functional websites. Let's embark on this exciting journey of web development together!
IT & Software
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Description
Learn Linux Command Line and Shell Scripting: Comprehensive Syllabus
This course covers the following topics, essential for anyone who wants to learn Linux and shell scripting:
Installation and Setup: Learn how to install VirtualBox and Linux Mint, and set up your environment for learning Linux.
Editors: Learn how to use the command-based Vi editor, as well as the popular Notepad++ editor.
Account Management: Understand the different types of Linux users, including root, sudo, admin, and regular users.
File and Directory Permissions: Learn how to manage permissions on files and folders, and understand the different permissions for users, groups, and others.
Linux Commands: Learn a wide range of Linux commands, including file and directory commands, user info commands, networking commands, SSH and file transfer commands, disk commands, security commands, archiving commands, search commands, and installation commands.
Vi Editor: Learn the most commonly used Vi editor commands.
Shell Expansion: Understand the different types of shell expansion, including brace expansion, tilde expansion, parameter expansion, command substitution, arithmetic expansion, process substitution, word splitting, filename expansion, and quotes.
Basic Shell Scripting: Learn the fundamentals of shell scripting, including variables, functions, conditional statements, loops, and regular expressions.
Braces, Brackets, and Parentheses: Understand how expressions are evaluated in Linux, and how to use braces, brackets, and parentheses to control the evaluation order.
File Descriptors: Learn about standard input, standard output, and standard error, and how to use file descriptors to interact with files and processes.
Iterations: Learn how to use while loops, for loops, and until loops to iterate over data.
Conditionals: Learn how to use IF statements and CASE statements to make decisions in your shell scripts.
Regular Expressions: Learn how to use regular expressions to search for and match patterns of data.
Arrays: Learn how to use arrays to store and manipulate data in your shell scripts.
AWK: Learn how to use the AWK utility to extract and format data.
SED: Learn how to use the SED utility to perform search and replace functions.
Grep: Learn how to use the Grep utility to search for patterns of data in files.
Utilities: Learn how to use the Cut, Sort, and Uniq utilities to manipulate data.
Cron Scheduling: Learn how to use the Cron scheduler to automate batch processing.
Processing Input and Output: Learn how to process input and output in your shell scripts.
Master Script: Learn how to write a comprehensive shell script that covers different areas of corporate shell scripting.
This course is designed to give you a solid foundation in Linux command line and shell scripting and to prepare you for a career in IT or any other field where Linux skills are required.
Description
Why SQL
Store large number of records
Share huge data set among many people
Add and edit data easily
Quick and easy to find information
RDBMS TERMINOLOGY
Column as Attribute
Row as Entity Instance
Table as Entity
AlternateKey as UniqueKey
RELATIONSHIPS Cardinality
90% of the tables in database will be linked with another tables.
10%of the tables will be independent.
There are three types of relationships between tables
one to one
one to many
many to many
Tables can have a single / multiple relationships or may not have relationships.
Structured data - 2 dimensional data Rows,Columns
PrimaryKey in one table will be given as ForiegnKey in another table to build relationship.
DATA MODELING
RDBMS
PrimaryKey & ForiegnKey with relationship between them.
1 to 1 - any PrimaryKey can become ForiegnKey
1 to many employees in a department
PK of parent table will be FK in child table
Department table Deptid(PK),DeptName,
Employees Table Empid,EmpName,DeptId(FK)
many to many(students and teachers,patients & doctors,Hospital & Doctors)(TeacherId,TeacherName)(StudentId,StudentName,TeacherId)
New table will be created and extra column will be added(Bridge Table)
Patient Table(PatientNo(PK),PatientName,Adress),
Doctors Table(DoctorNo(PK),Name,Qualification,Salary, DateOfJoining, DateOfResigning)
Patient Doctor Table()
SDLC-Software Development Life Cycle
Requirement
Analysis & Design
Development
Testing
Release
Domain expert(SRS documentation)
Architect
SQL developers
Testers
Deployers(TL/Manager)
ERD(Entity Relationship Diagram)
Peter Chan-Used to design Database
Referential Integrity
SQL server performs existence check when we create relationship.
SELF REFERENTIAL TABLES
A table which has both PrimaryKey and ForiegnKey in it & ForiegnKey refering the primary key in the same table.
You are going to learn
commands (DDL,DML,DQL,DCL,TCL)
datatypes
constraints
CONSTRAINS
Null
Default
PrimaryKey
UniqueKey
ForiegnKey
Check
Auto Increment
views
operators
query writing
joins
sub query
derived table
Views
Indexes
Stored Procedures
Triggers
Functions
Cursors
Description
Have you heard many times about the deep/dark web but you never knew what it is. Or you you have an Idea of what is it but you never visited this part of the web. Then this course for you. You will learn all the basics of the deep/dark and how to access this part of the web. At the end of the course, you will be able to use the TOR browser as your default browser and surf on all the parts of the Web.
Business
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Description
Welcome to "Startup Success Blueprint: Funding, Scaling and Profiting", a comprehensive Udemy course that is your stepping stone to the exhilarating world of startups. This course is your roadmap to understanding, creating, and managing a successful startup, led by none other than the seasoned entrepreneur, Jayesh Chakravarthi.
Meet Your Instructor:
Jayesh Chakravarthi, the Co-founder and CEO of ReCast Technologies, is a powerhouse of knowledge with decades of experience in consulting startups. His journey includes influential roles in various technology and services companies, and as the former Senior Vice President & Country Head of Technology Services at Fidelity Investments. Jayesh's insights, drawn from his rich professional experiences, form the backbone of this course, providing you with practical, real-world knowledge.
Course Highlights:
This course is meticulously structured to cover the journey of a startup, right from conception to scaling. Here's a detailed look at what you'll learn:
Understanding Entrepreneurship: Delve into the essence of entrepreneurship, understanding the mindset, traits, and responsibilities that make a successful entrepreneur.
Why Startups?: Uncover the exciting reasons to venture into the startup world, and why it could be the perfect path for you.
Co-Founding Dynamics: Learn about the four pillars of a successful co-founding relationship - Trust, Vision, Congruence, and Complementary Skills.
Idea Validation: Master the crucial process of idea validation, which includes prepping, shortlisting, zeroing in, and final validation of your startup idea.
The Idea Maze: Equip yourself to navigate the complex maze of startup ideation and planning.
Funding for Startups: Get a comprehensive overview of the various funding options available for startups, understanding the pros and cons of each.
Securing Seed Funding & Achieving Product-Market Fit: Learn the strategies to secure your first round of funding and how to achieve the crucial product-market fit.
Business Scaling Post-Series A Funding: Discover effective strategies and tactics to scale your business after securing significant funding.
The Journey from Series B to IPO: Understand the path from expanding your business to going public, exploring the challenges and opportunities at each step.
Building Your Dream Team: Learn how to hire the right resources, building a team that aligns with your startup's vision and goals.
Niche Market Focus: Discover the power and potential of focusing on a niche market, and how it can give your startup a competitive edge.
Go-to-Market Strategies: Learn how to effectively launch your product or service into the market, creating a strong presence from the get-go.
Course Prerequisites:
All you need to begin this course is a mobile device or a desktop/laptop with an active internet connection. This allows you to learn at your own pace, from the comfort of your home or office, making the learning process flexible and convenient.
Certification:
Upon completion of this course, you'll receive a certification from Udemy, a testament to your new skills and dedication. This certification can enhance your professional credentials, making you stand out in the competitive startup landscape.
"Startup Success Blueprint: Funding, Scaling and Profiting" is more than just a course; it's your launchpad to startup success. So why wait? Enroll today and embark on an exciting journey into the world of entrepreneurship.
Description
Welcome to course: Executive Diploma of Vice President of Operations / Chief Operating Officer by MTF Institute
MTF is the global educational and research institute with HQ at Lisbon, Portugal, focused on higher & professional hybrid (on-campus and online) education at areas: Business & Administration, Science & Technology, Banking & Finance.
MTF R&D center focused on research activities at areas: Artificial Intelligence, Machine Learning, Data Science, Big Data, WEB3, Blockchain, Cryptocurrency & Digital Assets, Metaverses, Digital Transformation, Fintech, Electronic Commerce, Internet of Things.
MTF is the official partner of: IBM, Intel, Microsoft, member of the Portuguese Chamber of Commerce and Industry, and resident of the incubator "The Fintech House of Portugal".
MTF is present in 208 countries and has been chosen by more than 340 000 students.
The Vice President of Operations (VP of Operations) or Chief Operating Officer (COO) is a key executive position within a company responsible for overseeing the day-to-day operations and ensuring that business goals are met efficiently and effectively. The specific duties and job description may vary depending on the organization's size, industry, and structure, but generally include the following:
Strategic Planning: The VP of Operations/COO works closely with the CEO and other executives to develop and implement strategic plans that align with the company's overall objectives. They often play a crucial role in translating high-level strategic goals into actionable plans for the operational teams.
Operational Oversight: They are responsible for overseeing all operational aspects of the business, including production, manufacturing, supply chain management, distribution, and quality control. They ensure that operations run smoothly, efficiently, and cost-effectively to meet customer demands and achieve organizational targets.
Process Improvement: Continuous improvement is a key aspect of the VP of Operations/COO role. They identify areas for improvement within operational processes and workflows, implement best practices, and drive initiatives to enhance efficiency, productivity, and quality.
Resource Management: This involves managing resources such as human capital, equipment, and finances effectively to optimize operational performance. They may be involved in workforce planning, budgeting, and resource allocation to ensure that resources are utilized efficiently and in alignment with business objectives.
Risk Management and Compliance: The VP of Operations/COO is responsible for identifying potential risks to operations and developing strategies to mitigate them. They also ensure that the company complies with relevant regulations and industry standards, maintaining a focus on operational excellence and risk mitigation.
Cross-Functional Collaboration: They collaborate closely with other functional areas such as marketing, sales, finance, and technology to ensure alignment and integration of operations with overall business strategy. Effective communication and collaboration with other departments are essential for achieving organizational goals.
Leadership and Team Management: The VP of Operations/COO provides leadership and direction to the operational teams, fostering a culture of excellence, accountability, and continuous improvement. They may recruit, develop, and mentor team members to build a high-performing and motivated workforce.
Performance Monitoring and Reporting: They monitor key performance indicators (KPIs) and metrics to assess operational performance and identify areas for improvement. Regular reporting to senior management and stakeholders on operational performance, challenges, and opportunities is typically part of the role.
Overall, the VP of Operations/COO plays a critical role in driving operational excellence, ensuring that the company's operations are aligned with its strategic goals, and contributing to overall business success.
Learning about operations management is crucial for companies and managers for several reasons:
Efficiency and Cost Reduction: Operations management principles help companies streamline processes, optimize resource utilization, and minimize waste, resulting in improved efficiency and cost reduction. Managers who understand operations management can identify inefficiencies and implement strategies to enhance productivity and reduce operational expenses, thereby increasing profitability.
Quality Improvement: Operations management encompasses techniques for quality control and assurance, ensuring that products and services meet or exceed customer expectations. Managers with expertise in operations management can implement quality management systems, establish quality standards, and drive continuous improvement initiatives to enhance product/service quality and customer satisfaction.
Customer Satisfaction and Loyalty: Effective operations management contributes to delivering products and services to customers in a timely manner and meeting their expectations regarding quality and reliability. Satisfied customers are more likely to become repeat customers and advocates for the company, leading to increased customer loyalty and positive word-of-mouth referrals.
Competitive Advantage: Operations management plays a pivotal role in helping companies gain a competitive edge in the marketplace. By optimizing processes, reducing lead times, and enhancing product/service quality, companies can differentiate themselves from competitors and attract customers. Managers skilled in operations management can identify opportunities for innovation and process improvement to sustain a competitive advantage.
Adaptability and Resilience: In today's dynamic business environment, companies face various challenges such as changing customer demands, technological advancements, and market disruptions. Operations management equips managers with the knowledge and tools to adapt to changing circumstances, mitigate risks, and build resilience into the organization's operations.
Developing skills in operations management can support career advancement in several ways:
Career Opportunities: Proficiency in operations management opens up diverse career opportunities across industries and sectors. Roles such as operations manager, supply chain manager, production manager, and logistics manager are in high demand and offer avenues for career growth and advancement.
Leadership Development: Managing operations requires strong leadership skills, including communication, problem-solving, decision-making, and team management. Developing these skills through hands-on experience and training in operations management can prepare individuals for leadership roles within organizations.
Strategic Impact: Operations managers often play a strategic role in shaping organizational strategy and driving business performance. By understanding the link between operations and overall business objectives, individuals can contribute meaningfully to strategic decision-making and organizational success.
Continuous Learning and Improvement: Operations management is a dynamic field that continuously evolves with changing technologies, market trends, and best practices. Individuals who invest in developing their skills in operations management demonstrate a commitment to lifelong learning and professional development, positioning themselves as valuable assets to employers.
Job Satisfaction and Fulfillment: Successfully managing operations and driving improvements can be highly rewarding both professionally and personally. Seeing tangible results such as increased efficiency, cost savings, and customer satisfaction can enhance job satisfaction and fulfillment, motivating individuals to pursue further career advancement opportunities.
In summary, learning about operations management is important for companies and managers as it contributes to efficiency, quality, customer satisfaction, competitive advantage, and resilience. Developing skills in operations management supports career advancement by opening up opportunities, fostering leadership development, enabling strategic impact, promoting continuous learning, and enhancing job satisfaction.
Description
Welcome to "Upwork Proposal Mastery: The Complete Guide to Proposal Writing"!
Are you ready to become a standout freelancer on Upwork? This course is your comprehensive roadmap to success, explained in plain and simple terms.
In this course, you'll start by understanding the basics of keyword research—what keywords are, how they work, and why they're vital for your success. Learn how to gather and compare keywords effectively to boost your profile visibility.
Discover the art of optimizing your Upwork profile for maximum impact, making it appealing to potential clients. Before you even apply for jobs, we'll share valuable insights about job filtering and secret notifications to save you time and effort.
Explore the world of AI tools and how they can make your freelancing life easier. You'll delve into creating professional and personal cover letters, capturing clients' attention with ease.
Unlock the secrets of acing Upwork interviews and gain tips to leave a lasting impression. Finally, we'll guide you through the process of creating winning Upwork projects that keep clients coming back for more.
Whether you're new to freelancing or aiming to enhance your Upwork journey, this course is your ultimate guide. Join us now and start mastering the art of proposal writing on Upwork!
Description
Welcome to "The Complete Mobile Notary Business Course" — your gateway to a lucrative and fulfilling career in the dynamic world of notary signing services. Whether you're a newcomer eager to enter the field or a seasoned professional seeking to enhance your skills, this comprehensive course is tailored for you.
Unlock Opportunities: Embark on a journey that demystifies the process of becoming a commissioned notary in your state. From understanding legal requirements to mastering the art of mobile loan signing and real estate services, this course equips you with the knowledge needed to excel in the notary signing agent profession.
Master Loan Closing Skills: Delve into the intricacies of loan closing paperwork, gaining proficiency in handling various aspects of home loan documentation. Elevate your expertise in mortgage processes, positioning yourself as a knowledgeable and efficient notary signing agent.
Certification Excellence: Prepare for success with insights into the National Notary Association (NNA) test and industry-recognized background screening essentials. Develop a strong foundation in the best practices and standards of the notary signing agent profession.
Launch Your Notary Business: Identify essential tools, acquire necessary supplies, and understand the importance of errors and omissions insurance. Learn effective networking strategies to kickstart and grow your own notary signing agent business, setting the stage for financial prosperity and career fulfillment.
With a blend of practical skills, industry knowledge, and business acumen, "The Complete Mobile Notary Business Course" empowers you to confidently navigate the world of notary services. Join us now and unlock the door to a flexible, rewarding, and high-earning career as a mobile notary entrepreneur. Enroll today and take the first step toward a successful future!
Office Productivity
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Description
Master Two Spreadsheet Giants: Learn Google Sheets and Microsoft Excel Simultaneously from the Ground Up
In today's data-driven world, spreadsheet proficiency is an essential skill for anyone aiming to excel in their professional or personal endeavors. This comprehensive course empowers you to master both Google Sheets and Microsoft Excel, two of the most widely used spreadsheet applications, equipping you with the skills to tackle data analysis, organization, and presentation with newfound confidence.
Learn the Essentials of Both Platforms:
Google Sheets: Master the user-friendly interface of Google Sheets, gaining proficiency in data entry, formula creation, and chart generation.
Microsoft Excel: Explore the advanced capabilities of Microsoft Excel, delving into data analysis, pivot tables, and macros.
What You'll Learn:
Foundations of Spreadsheets:
Understand the basics of spreadsheet terminology and functionality
Navigate the user interfaces of both Google Sheets and Microsoft Excel seamlessly
Data Entry and Formatting:
Learn efficient data entry techniques
Master formatting options to make your spreadsheets visually appealing and easy to understand
Formulas and Functions:
Explore the power of formulas and functions common to both Google Sheets and Excel
Create complex calculations to automate and analyze your data
Data Analysis and Visualization:
Utilize pivot tables and charts for insightful data analysis
Learn how to represent your findings visually for effective communication
Collaboration and Sharing:
Understand collaborative features in Google Sheets, such as real-time editing and comments
Explore Excel's sharing capabilities and version control
Advanced Features:
Dive into advanced features like macros and scripting to automate repetitive tasks
Discover unique capabilities in both platforms for enhanced productivity
Tips and Tricks for Efficiency:
Receive insider tips and shortcuts to boost your efficiency in both Google Sheets and Microsoft Excel
Why Take This Course:
Time Efficiency: Learn both Google Sheets and Microsoft Excel in one comprehensive course, saving you time and effort.
Versatility: Gain proficiency in the two most widely used spreadsheet platforms, making you versatile in any professional setting.
Hands-On Practice: Apply your knowledge through practical exercises and real-world examples.
Whether you're a student, professional, or entrepreneur, mastering both Google Sheets and Microsoft Excel will open doors to endless possibilities.
Description
This course is designed for designers, marketers, writers, and anyone eager to enhance their creative output using cutting-edge AI technologies.
What You Will Learn:
Explore AI Platforms: Dive deep into leading AI platforms like ChatGPT, Google Bard, Bing AI, Leonardo AI, Canva, and DALL-E. Understand their unique features, applications, and how they are revolutionizing the creative industry.
Creative Content Generation: Learn how to harness the potential of AI to generate compelling content, including text, images, videos, and interactive media. Discover techniques to infuse creativity into your work while leveraging AI for inspiration and ideation.
Hands-On Projects: Engage in practical, hands-on projects using AI platforms. Create interactive ChatGPT conversations, design visually stunning graphics with Canva, generate artistic imagery with DALL-E, and experiment with other AI tools to apply your learning in real-world scenarios.
Cross-Platform Integration: Learn how to seamlessly integrate AI-generated content into various platforms and mediums. Whether it's social media content, websites content, presentations, or marketing materials, discover strategies to optimize AI-created content for different channels, maximizing its impact.
AI-driven Creative Strategies: Develop creative strategies tailored for AI-powered content. Understand how algorithms work, optimize your content for search engines, and design campaigns that resonate with AI-generated elements, ensuring your creative efforts are aligned with the digital landscape.
Expert Guidance and Support: Benefit from expert insights, tips, and troubleshooting guidance from industry professionals. Our course provides a supportive learning environment where you can ask questions, receive feedback, and refine your skills under the mentorship of experienced AI and creative professionals.
Who Should Take This Course:
Graphic Designers, Content Creators, and Digital Artists
Marketers and Social Media Managers
Writers and Bloggers
Entrepreneurs and Business Owners
Anyone Passionate About the Intersection of Creativity and Technology
Embrace the future of creativity by enrolling. Equip yourself with the knowledge and skills to thrive in the dynamic world of AI-powered creative innovation. Join us and transform your creative vision into reality, guided by the limitless possibilities of artificial intelligence.
Marketing
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Description
Welcome to "The Complete SEO Guide: SEO For Beginner to Expert 2024" course. This course is your gateway to demystifying the world of Search Engine Optimization (SEO) and offers a straightforward approach to help your blog website climb the ranks on Google. Specifically designed for beginners, it provides a step-by-step guide to optimizing your website effectively.
Course Highlights:
SEO Made Easy: Demystify SEO with simple, actionable strategies that anyone can grasp. No prior SEO experience required!
Optimizing for Google: Learn the essential techniques to improve your website's visibility in Google's search results, driving organic traffic to your blog.
Targeted WordPress SEO: Discover WordPress-specific SEO strategies, ensuring your blog website is primed for success on this popular platform.
Key SEO Components: Focus on the most crucial aspects of SEO, equipping you with the tools to make immediate improvements to your website's rankings.
Practical Implementation: Apply your knowledge through hands-on exercises, allowing you to see tangible results as you progress through the course.
Guided Learning: Benefit from step-by-step guidance, ensuring that you understand and implement each concept effectively.
Stay Current: This course is up-to-date with the latest SEO trends and strategies for 2023, ensuring you're equipped with the most relevant information.
Who Should Enroll:
Bloggers and content creators seeking to boost their website's visibility and attract a larger audience.
Beginners with little or no SEO knowledge, eager to learn the fundamentals of website optimization.
WordPress users looking to optimize their blog website for search engines and improve their online presence.
Many of these strategies form the cornerstone of successful SEO and inbound marketing. Do better search engine optimization than your competition or any freelancer! Obtain SEO traffic, company growth, and win! Updated every couple of months using the latest SEO developments. SEO marketing is one of the very best types of advertisements without price since it requires only a few leads to deliver on hundreds of effects every day.
SEO is the process of improving:
· User experience on your website.
· Your web site's traffic from search engines.
· Your website's authority will significantly improve thanks to your site's improved pages.
This Course Includes:
Fundamentals of SEO
How Search Engine Work
How many Type of SEO
How many Type of SEO Techniques
Major Steps of SEO
Google Ranking Factors
Install SEO Tools & Configurations
What is WordPress
Install SEO Plugin
Create Google Analytics Account
Add Your Website On Google Analytics
How To Use Analytics Code On Your Website
How To Add Property and Ownership verification in Google Search Console
How to Submit Sitemap in Google Search Console
How to Create Robots.txt File and Upload it
Boost Your Rankings in Search Engines
Focus keyphrase Keyword
Optimize SEO Title For Search Engines
Adding Slug or Permalinks
Optimize Meta Description For Search Engines
Putting Your Keyword In Image Alt Title
How to Add Internal Link To Post
How to Add External Link To Post
Readability
Putting Your Keyword in Social Media SEO Title & Meta Descriptions
How to Add Embed YouTube Video in your post
Putting Keyword First Paragraph of Your Content or Article
Use Google Free Tools To Find Keywords & More
How to Fast Indexed your post in Google
Easy way to find Keyword using Google
SEO Tips and Tricks from Google search Console
Image Optimizing Process
How to Make Optimize Image For SEO
How to compress image
Our goal is to increase the website's visibility and boost the organic traffic generated, leading to more people and customers for your business.
First, you should watch promotional videos and watch the free preview lessons. I think they're going to give you a good idea of the quality of the course content, pace, and what to expect from taking the course. Apart from that, Udemy offers a 30-day money-back guarantee with no questions asked!
To achieve everything mentioned in this piece of advice, Enroll in this course now!
Description
This course is for someone who wants to get into Programmatic Advertising. In this course we will first explain:
Section 1:
Evolution of Programatic Advertising
Overall ecosystem of Programatic Advertising
What are the different parties involved in the ecosystem
Section 2:
Once you have a basic understanding of this, we will directly jump into DV360 UI which is the largest DSP to run Programatic campaigns and will learn:
1. Difference between DV360 and Google Ads and why should advertisers switch to DV360
2. Step by step walk-through on live dashboard about how to create Advertiser, Campaigns, Insertion Order and Line Items
3. You will learn about reporting and go through different types of reports and dashboard and learn to schedule and export these reports
4. You will learn about types of YouTube campaigns and how to traffic Different types of YouTube campaigns
5. You will also learn how to create an impactful campaign (Display and YouTube) and what strategy should you adapt when choosing targeting and how you should traffic multiple line items to create an impactful overall campaign
Here are the lessons in this section:
1. Difference Between Google Ads and DV360 (Learn about why people switch from Google Ads to DV360)
2. DV360 Platform Walk-through (Get familiar with the different sections of the platform)
3. Create your first Advertiser (Understand the hierarchy of a campaign elements in DV360 and learn to create an Advertisiser)
4. Create your first Campaign (Create your first campaign)
5. Create your first Insertion Order (Learn different options available while creating an Insertion order)
6. Upload Creatives (Learn about different types of creatives and how to uplaod)
7. Create Tracking pixels or Floodlight setup (Generate and download tracking pixels)
8. Create your first Line Item
9. How to report in DV360
10: Types of YouTube campaigns on DV360
11. How to Run YouTube campaigns
12. Types of Deals in DV360
13. Overview of Marketplace in DV360
Section 3:
Once we have a clear understanding of the above, we will learn about one of the most talked about platforms - DMPs or Data Management Platforms:
1. I will explain what a DMP is
2. Take you through one of the largest DMPs - Oracle Bluekai
3. Step by step show you how to create Audiences and Execute/Extract them
Overall this course will serve as a fundamental course to give you a solid understanding of Programatic Advertising whether you are preparing for an interview, Job change or getting up-skilled to work as a Programmatic Trader or DMP consultant
Section 4:
1. Introduction to DoubleClick Campaign Manager
2. Why use it?
Description
I have created this course to provide strong fundamental knowledge regarding Meta Ads formerly known as Facebook Ads. The perfect curriculum to get you started with everything you need - theoritical concepts, fundamental knowledge, step-step walk-through
How is the course structured?
The course starts with basics like Facebook Marketing concepts and will probably provide you all the information to run successful campaigns.
Includes Step by step guides on setup of Facebook Page, Business Manager, Ad accounts, adding payment methods and users
Includes step by step tutorials about setting up successful campaigns
This is a perfect starting point for someone who is getting started or feels there is noise and their knowledge is sitting in silos and not able to have a holistic view. After this course, you will be confident about almost every concept within Meta Ads, whether it is technical, theoritical or related to the day to day operations
Who is it for?
Absolute beginner in Meta Ads/Facebook Ads whether new in industry or want to enhance your skills
Anyone who wants to learn Meta Ads to make a career in an Agency or client side
Preparation for an interview for Digital Marketing roles
Business owners who want to run their own campaigns and use full potential of Facebook Ads or just to be aware if outsourced
What should I expect from this course?
Know how of all aspects of Meta Ads in the current world
Get familiar with Meta Ads and all the tools in the ecosystem
Get hands-on experience with step-by-step platform walk-through
What does this course contain?
10+ modules or sections to make this fun and easy
Some modules contain quizzes with links in description
Important resources that you’ll need forever
How do I use this course effectively?
Attempt the quizzes
Make notes
A word from creator:
It took almost a year to complete this course and was designed to make the learning process practical and useful. Hope you enjoy and learn
I have run and overseen Facebook marketing budgets which exceed $10M in my 9 years of career
Love and peace
Ovais
If you find the coupon expired, please follow us on Telegram to watch for it if released again.
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