Section 1 : Welcome To The Course
Lecture 1 Installing Python (Windows & MAC) 00:08:55 Duration
Lecture 2 BONUS Learning Paths
Lecture 3 Get the materials
Lecture 4 Some Additional Resources!!
Lecture 5 FAQBot!
Lecture 6 Your Shortcut To Becoming A Better Data Scienti

Section 2 : Core Programming Principles
Lecture 1 About Proctor Testing
Lecture 2 Types of variables 00:08:45 Duration
Lecture 3 Using Variables 00:08:59 Duration
Lecture 4 Boolean Variables and Operators 00:06:03 Duration
Lecture 5 The While Loop 00:09:56 Duration
Lecture 6 The For Loop 00:07:57 Duration
Lecture 7 The If statement 00:12:30 Duration
Lecture 8 Code indentation in Python 00:02:41 Duration
Lecture 9 Section recap 00:03:08 Duration
Lecture 10 HOMEWORK Law of Large Numbers 00:12:52 Duration

Section 3 : Fundamentals Of Python
Lecture 1 What is a List 00:03:15 Duration
Lecture 2 Let's create some lists
Lecture 3 Using the [] brackets 00:06:29 Duration
Lecture 4 Slicing 00:09:28 Duration
Lecture 5 Tuples in Python 00:06:17 Duration
Lecture 6 Functions in Python 00:05:37 Duration
Lecture 7 Packages in Python 00:13:40 Duration
Lecture 8 Numpy and Arrays in Python 00:07:09 Duration
Lecture 9 Slicing Arrays 00:04:33 Duration
Lecture 10 Section Recap 00:03:06 Duration
Lecture 11 HOMEWORK Financial Statement Analysis 00:10:11 Duration

Section 4 : Matrices
Lecture 1 Project Brief Basketball Trends 00:08:17 Duration
Lecture 2 Matrices 00:03:32 Duration
Lecture 3 Building Your First Matrix 00:16:50 Duration
Lecture 4 Dictionaries in Python 00:14:20 Duration
Lecture 5 Matrix Operations
Lecture 6 Your first visualization 00:11:04 Duration
Lecture 7 Expanded Visualization 00:09:37 Duration
Lecture 8 Creating Your First Function 00:11:09 Duration
Lecture 9 Advanced Function Design
Lecture 10 Basketball Insights 00:11:17 Duration
Lecture 11 Section Recap 00:04:08 Duration
Lecture 12 HOMEWORK Basketball free throws

Section 5 : Data Frames
Lecture 1 Importing data into Python 00:08:26 Duration
Lecture 2 Exploring your dataset 00:10:51 Duration
Lecture 3 Renaming Columns of a Dataframe 00:02:56 Duration
Lecture 4 Subsetting dataframes in Pandas 00:16:32 Duration
Lecture 5 Basic operations with a Data Frame 00:09:50 Duration
Lecture 6 Filtering a Data Frame 00:18:52 Duration
Lecture 7 Using .at() and .iat() (advanced tutorial) 00:09:01 Duration
Lecture 8 Introduction to Seaborn 00:10:48 Duration
Lecture 9 Visualizing With Seaborn Part 1 00:10:05 Duration
Lecture 10 Keyword Arguments in Python (advanced tutorial 00:10:42 Duration
Lecture 11 Section Recap 00:04:31 Duration
Lecture 12 HOMEWORK World Trends 00:06:37 Duration

Section 6 : Advanced Visualization
Lecture 1 What is a Category data type 00:10:29 Duration
Lecture 2 Working with JointPlots 00:07:38 Duration
Lecture 3 Histograms 00:07:52 Duration
Lecture 4 Stacked histograms in Python 00:18:30 Duration
Lecture 5 Creating a KDE Plot 00:08:00 Duration
Lecture 6 Working with Subplots() 00:14:06 Duration
Lecture 7 Violinplots vs Boxplots 00:08:55 Duration
Lecture 8 Creating a Facet Grid 00:12:29 Duration
Lecture 9 Coordinates and Diagonals 00:07:55 Duration
Lecture 10 BONUS Building Dashboards in Python
Lecture 11 BONUS Styling Tips 00:15:46 Duration
Lecture 12 BONUS Finishing Touches 00:14:48 Duration
Lecture 13 Section Recap 00:05:38 Duration
Lecture 14 HOMEWORK Movie Domestic % Gross 00:07:32 Duration

Section 7 : Homework Solutions
Lecture 1 Homework Solution Section 2 Law Of Large Numbe 00:08:57 Duration
Lecture 2 Homework Solution Section 3 Financial Statemen 00:10:02 Duration
Lecture 3 Homework Solution Section 3 Financial Statemen 00:13:40 Duration
Lecture 4 Homework Solution Section 4 Basketball Free Th 00:17:23 Duration
Lecture 5 Homework Solution Section 5 World Trends (Part1) 00:15:32 Duration
Lecture 6 Homework Solution Section 5 World Trends (Part2) 00:14:35 Duration
Lecture 7 Homework Solution Section 6 Movie Domestic % G 00:16:35 Duration
Lecture 8 Homework Solution Section 6 Movie Domestic % 00:08:19 Duration