Course curriculum

  • 1

    Python is Easy To Learn

    • Be Smart and Use Data But How: Answer is Data Science with Python
  • 2

    Setting Up Python for Mac and Windows

    • Installing Anaconda for Windows

    • Installing Anaconda for Mac

    • Let's Meet Jupyter Notebook for Windows

    • Basics of Jupyter Notebook for Mac
  • 3

    Fundamentals of Python

    • Data Types in Python

    • Operators in Python

    • Conditionals

    • Loops

    • Lists, Tuples, Dictionaries and Sets

    • Data Type Operators and Methods

    • Modules in Python

    • Functions in Python

    • Exercise Analyse

    • Exercise Solution
  • 4

    Python For Data Science: Data Science

    • What Is Data Science?

    • Data Literacy
  • 5

    Using Numpy for Data Manipulation

    • What is Numpy?

    • Array and Features

    • Array Operators

    • Indexing and Slicing

    • Numpy Exercises
  • 6

    Pandas: Using Pandas for Data Manipulation

    • What is Pandas?

    • Series and Features
  • 7

    Data Frame with Pandas

    • Data Frame Attributes and Methods

    • Data Frame Attributes and Methods Part – II

    • Data Frame Attributes and Methods Part – III

    • Multi Index

    • Groupby Operations

    • Missing Data and Data Munging

    • Missing Data and Data Munging Part II

    • How We Deal with Missing Data?

    • Combining Data Frames

    • Combining Data Frames Part – II

    • Work with Dataset Files
  • 8

    Python For Data Science: Data Visualization

    • What is Matplotlib?

    • Using Matplotlib

    • Pyplot – Pylab - Matplotlib

    • Figure, Subplot and Axes

    • Figure Customization

    • Plot Customization
  • 9

    Data Science: Hands-On Projects

    • Analyse Data With Different Data Sets: Titanic Project

    • Titanic Project Answers

    • Project II: Bike Sharing

    • Bike Sharing Project Answers

    • Project III: Housing and Property Sales

    • Answer for Housing and Property Sales Project

    • Project IV : English Premier League

    • Answers for English Premier League Project
  • 10

    Bonus

    • Bonus