Learning Python for Data Analysis and Visualization

Instructor: Daziy Millar
Lectures: 11
Quizzes: 3
Duration: 10 weeks

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Overview 0/2

In this section we'll show you how this course has been structured and how to get the most out of it. We'll also show you how to solve the exercises and submit quizzes.
- Lecture 1.1
  
  Introduction to Programming – Part 10
  Preview
  
  30m
- Lecture 1.2
  
  Installation and Set-Up – Part 10
  Preview
  
  5m
Basics 0/7

In this section you'll learn some basic concepts of programming languages and how to use them. You'll also learn how to write clean code using different code editors and tools.
- Lecture 2.1
  
  Working with Strings – Part 10
  
  40m
- Lecture 2.2
  
  Working with Numbers – Part 10
  
  35m
- Lecture 2.3
  
  Tuples, Sets, and Booleans – Part 10
  
  20m
- Lecture 2.4
  
  Regular Expressions – Part 10
  
  20m
- Lecture 2.5
  
  Version Control – Part 10
  
  30m
- Quiz 2.1
  
  Function Exercises – Part 10
  3 questões
  
  10m
- Quiz 2.2
  
  Model Forms Exercise – Part 10
  3 questões
  
  10m
Advanced 0/4

In this section you'll learn some core concepts of Object Oriented Programming. You'll also learn how to structure the data, debug and handling exceptions.
- Lecture 3.1
  
  Object Oriented Programming – Part 10
  Preview
  
  17m
- Lecture 3.2
  
  Control Flow – Part 10
  
  18m
- Lecture 3.3
  
  Modules and Packages – Part 10
  
  13m
- Quiz 3.1
  
  Templating Engine – Part 10
  3 questões
  
  10m
Conclusion 0/1

Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry’s standard dummy text ever since the 1500s, when an unknown printer took a galley of type.
- Lecture 4.1
  
  Errors and Exceptions – Part 10
  
  45m

Daziy Millar

PHP Expert

I've spend the past three years as a lead instructor at multiple coding schools. As a self-taught developer, I've experienced firsthand the professional and personal growth that comes with learning how to code.

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