1

Instructor and Course Introduction

1 Min

2

M1 L1 What is Data Analysis

5 Mins

3

M1 L2 Introduction to Notebooks

1 Min

4

M1 L3 Google Colab Overview

3 Mins

5

M1 L4 Course Material

6

Quiz

2 questions

1

M2 L1 Inspecting DataFrame

11 Mins

2

M2 L2 Some Basic Methods

5 Mins

3

M2 L3 Sub Setting Columns

8 Mins

4

M2 L4 Summary Statistics

3 Mins

5

Quiz

2 questions

1

M3 L1 Selection with loc and iLoc

10 Mins

2

M3 L2 Slicing and Indexing

10 Mins

3

M3 L3 Reshaping Data

5 Mins

4

Quiz

1 questions

1

M4 L1 Indexing and Reindexing

10 Mins

2

M4 L2 Concatenating Series

5 Mins

3

M4 L3 Appending Through Axis

8 Mins

4

M4 L4 Joining Techniques

10 Mins

5

M4 L5 Merging Dataframes

15 Mins

6

Quiz

2 questions

1

M5 L1 Getting started with Matplotlib

8 Mins

2

M5 L2 Matplotlib Subplots

3 Mins

3

M5 L3 Matplotlib Interface

10 Mins

4

M5 L4 Getting started with Seaborn

4 Mins

5

M5 L5 Seaborn Subplots

2 Mins

6

M5 L6 Line Plots

4 Mins

7

M5 L7 Bar Plots

3 Mins

8

M5 L8 Scatter Plots

4 Mins

9

M5 L9 Histograms

3 Mins

10

Quiz

1 questions

1

M7 L1 Sets and Events

10 Mins

2

M7 L2 Exclusive/Non-Mutually Exclusive Events

15 Mins

3

M7 L3 Independent/Dependent Events

10 Mins

4

M7 L4 Laws of Probability

4 Mins

5

M7 L5 Conditional Probability: Practice Questions 01

6 Mins

6

M7 L6 Conditional Probability: Practice Questions 02

10 Mins

7

M7 L7 Law of Total Probability

9 Mins

8

M7 L8 Bayes Theorem

10 Mins

9

Course Conclusion

1 Min

10

Quiz

2 questions