Getting Started with Pandas

This Pandas course prepares teaches the fundamentals of data analysis. It shows how to load data, inspect it, deal with missing values, use statistical summaries, plot, pivot and more. This course contains 18 hours of materials, taught by Matt Harris

$24.95 / MONTH SITE SUBSCRIPTION (W/ 10 DAY FREE TRIAL) $239.95 / YEAR SITE SUBSCRIPTION (W/ 10 DAY FREE TRIAL)

Course curriculum

1
Module 1
- Module 1- Getting Started – Installation, Jupyter, and Example
- Segment - 01
- Segment - 02
- Segment - 03
- Segment - 04
- Segment - 05
- Segment - 06
- Segment - 07
- Segment - 08
- Segment - 09
- Segment - 10
- Segment - 11
- Segment - 12
- Segment - 13
- Segment - 14
2
Module 2
- Module 2- Series objects
- Module 2
- Segment - 15
- Segment - 16
- Segment - 17
- Segment - 18
- Segment - 19
- Segment - 20
- Segment - 21
- Segment - 22
- Segment - 23
3
Module 3
- Module 3 - DataFrame objects
- Module 3
- Segment - 24
- Segment - 25
- Segment - 26
- Segment - 27
- Segment - 28
- Segment - 29
- Segment - 30
- Segment - 31
- Segment - 32
- Segment - 33
- Segment - 34
4
Module 4
- Module 4 - Grouping
- Module 4
- Segment - 35
- Segment - 36
- Segment - 37
- Segment - 38
- Segment - 39
- Segment - 40
5
Module 5
- Module 5 - Tips and Tricks
- Module 5
- Segment - 41
- Segment - 42
- Segment - 43
- Segment - 44
- Segment - 45
- Segment - 46
- Segment - 47
- Segment - 48
6
Labs
- Overview
- Instructions: Using Jupyter Notebooks
- Instructions: Virtual labs (For Colaboratory)
- Labs: Module 1
- Labs: Module 2
- Labs: Module 3
- Labs: Module 4
- Labs: Module 6
7
Recommended Further Readings
- Articles and Downloads