Pandas for Data Science
Back to Dashboard
Course sections
Section 1
Introduction
1
Course Introduction
2
Course Data
3
Machine Learning lifecycle
4
Pandas Objects Introduction
5
Pandas Series
6
Pandas DataFrame
7
Exercise #1 – Question
8
Exercise #1 – Solution
Section 2
Read data from files
1
Read Delimited Files
2
Read JSON files
3
Exercise #2 – Question
4
Exercise #2 – Solution
Section 3
DataFrame Manipulation
1
DataFrame Manipulation – Part 1a
2
DataFrame Manipulation – Part 1b
3
DataFrame Manipulation – Part 2a
4
DataFrame Manipulation – Part 2b
Section 4
DataFrame Filtering
1
DataFrame Filtering – Part 1
2
DataFrame Filtering – Part 2
3
Exercise #3 – Question
4
Exercise #3 – Solution
Section 5
DataFrame Joins
1
DataFrame Joins – Part 1
2
DataFrame Joins – Part 2
3
More on DataFrame Joins
4
Exercise on Joins and Merge
5
Exercise #4 – Question
6
Exercise #4 – Solution
Section 6
Missing Data Handling
1
Handling Missing Data in a DataFrame
Section 7
Aggregation
1
DataFrame Aggregation – Part 1
2
DataFrame Aggregation – Part 2
3
Exercise #5 – Question
4
Exercise #5 – Solution
Section 8
Extra Topics
1
DataFrame Styling
2
Correlation & Covariance
Introduction
Course Introduction
