1

Step 1

Python Basics

2

Step 2

Python Lists

3

Step 3

Functions and Packages

4

Step 4

NumPy

1

Step 1

Python Basics

2

Step 2

Python Lists

3

Step 3

Functions and Packages

4

Step 4

NumPy

26 November 2018 02 December 2018
completed_date
Details Briefly

Goal author

Ruslan

Russia, Пермь

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General

Intro to Python for Data Science

Python is a general-purpose programming language that is becoming more and more popular for doing data science.

 Goal Accomplishment Criteria

Course completed

  1. Python Basics

    An introduction to the basic concepts of Python. Learn how to use Python both interactively and through a script. Create your first variables and acquaint yourself with Python's basic data types.

    1. Hello Python!

    2. The Python Interface

    3. When to use Python

    4. Any comments?

    5. Python as a calculator

    6. Variables & Types

    7. Variable Assignment

    8. Calculations with variables

    9. Other variable types

    10. Guess the type

    11. Operations with other types

    12. Type conversion

    13. Can Python handle everything?

  2. Python Lists

    Learn to store, access and manipulate data in lists: the first step towards efficiently working with huge amounts of data.

    1. Lists, what are they?

    2. Create a list

    3. Create list with different types

    4. Select the valid list

    5. List of lists

    6. Subsetting lists

    7. Subset and conquer

    8. Subset and calculate

    9. Slicing and dicing

    10. Slicing and dicing (2)

    11. Subsetting lists of lists

    12. List Manipulation

    13. Replace list elements

    14. Extend a list

    15. Delete list elements

    16. Inner workings of lists

  3. Functions and Packages

    To leverage the code that brilliant Python developers have written, you'll learn about using functions, methods and packages. This will help you to reduce the amount of code you need to solve challenging problems!

    1. Functions

    2. Familiar functions

    3. Help!

    4. Multiple arguments

    5. Methods

    6. String Methods

    7. List Methods

    8. List Methods (2)

    9. Packages

    10. Import package

    11. Selective import

    12. Different ways of importing

  4. NumPy

    NumPy is a Python package to efficiently do data science. Learn to work with the NumPy array, a faster and more powerful alternative to the list, and take your first steps in data exploration.

    1. NumPy

    2. Your First NumPy Array

    3. Baseball players' height

    4. Baseball player's BMI

    5. Lightweight baseball players

    6. NumPy Side Effects

    7. Subsetting NumPy Arrays

    8. 2D NumPy Arrays

    9. Your First 2D NumPy Array

    10. Subsetting 2D NumPy Arrays

    11. 2D Arithmetic

    12. NumPy: Basic Statistics

    13. Average versus median

    14. Explore the baseball data

    15. Blend it all together

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  • 26 November 2018, 14:51

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