Learning Python for Data Analysis and Visualization

Learning Python for Data Analysis and Visualization

• 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

    30 min Preview
    30m
  • Lecture 1.2
    Installation and Set-Up – Part 10

    05 min 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

    40 min
    40m
  • Lecture 2.2
    Working with Numbers – Part 10

    35 min
    35m
  • Lecture 2.3
    Tuples, Sets, and Booleans – Part 10

    20 min
    20m
  • Lecture 2.4
    Regular Expressions – Part 10

    20 min
    20m
  • Lecture 2.5
    Version Control – Part 10

    30 min
    30m
  • Quiz 2.1
    Function Exercises – Part 10

    3 questions10 min
    10m
  • Quiz 2.2
    Model Forms Exercise – Part 10

    3 questions10 min
    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

    17 min Preview
    17m
  • Lecture 3.2
    Control Flow – Part 10

    18 min
    18m
  • Lecture 3.3
    Modules and Packages – Part 10

    13 min
    13m
  • Quiz 3.1
    Templating Engine – Part 10

    3 questions10 min
    10m

• Conclusion 0/1

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  • Lecture 4.1
    Errors and Exceptions – Part 10

    45 min
    45m