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Course sections
Section 1
Introduction to Data Analysis
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
Quiz
2 questions
Section 2
Introduction to Pandas
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
Section 3
Data Manipulation with Pandas
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
Section 4
Merging Dataframes with Pandas
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
Section 5
Data Visualization
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
Section 6
Data Cleaning and Preparation
1
M6 L1 Handling Missing Data
14 Mins
2
M6 L2 Visualizing Missing Data
13 Mins
3
M6 L3 Removing Missing Data
12 Mins
4
M6 L4 Data Imputation
5 Mins
5
M6 L5 Removing Duplicate Values
6 Mins
6
M6 L6 Parsing Dates
10 Mins
7
M6 L7 Regular Expressions
5 minutes
8
M6 L8 Type Conversions
4 mins
9
Quiz
2 questions
Section 7
Introduction to Probability
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
Introduction to Data Analysis
Instructor and Course Introduction
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