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Python for Data Science Mastery
Python For Data Science : Foundational Elements
Lesson 1 : Python Language and Context (28:38)
Lesson 2 : Tools for Development and Setup (8:25)
Lesson 3 : Python IDE Integrated development environment (12:49)
Lesson 4 : Jupyter Notebooks (17:39)
Module 1 Quiz
Module 2: Language, Libraries and Building Blocks
Lesson 1 : Language, Numbers and Operators
Lesson 2 : Data Types and Operators
Lesson 3 : Controls
Lesson 4 : Functions and Modules
Lesson 5 String Manipulations and Special Data Types (List, Dictionaries)
Module 2 Quiz
Practice Assignment : Bubble Sort
Module 3: Data Analysis and Processing
Lesson 1 : Numpy and Arrays (25:17)
Practice Assignment 1 : Numpy
Lesson 2: Pandas Series (18:47)
Practice Assignment 2: Pandas Series
Lesson 3: Pandas DataFrames (93:46)
Practice Assignment 3: Pandas DataFrame
Lesson 4: Data Processing using DataFrame from a File source (237:20)
Lesson 5: Data Processing using DataFrame from a Database
Lesson 6: Aggregate data and use
Practice Assignment Lesson 4 : DataFrame using file data and aggregate data
Pandas DataFrame Cheat Sheet
Practice Assignment ANSWERS: Numpy
Practice Assignment ANSWERS: Pandas Series
Practice Assignment ANSWERS: Pandas DataFrame
Module 4 Data Visualisation
Lesson 1 Visualising Data using Matplotlib
Practice Assignment Lesson 4 : DataFrame using file data and aggregate data
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