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Pandas Mastery
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Course Syllabus and Details (12:46)
Install Anaconda (5:06)
Quick Tour of Anaconda Navigator (2:22)
Check Package Installation (3:35)
A Quick Tour of the Spyder IDE (4:20)
Install the Practice Software (2:56)
Pandas Basics
Pandas Basics (8:01)
Create Dataframes from Raw Data (11:15)
Create Dataframes from CSV Files (5:19)
Subset Data with the .iloc[] Method (23:34)
Subset Data with the .loc[] Method (27:52)
Practice Exercises: Pandas Basics (46:57)
Pandas Data Manipulation Methods, Part I
Pandas set index (14:27)
Pandas reset index (13:58)
Pandas drop (15:07)
Pandas dropna (12:40)
Pandas fillna (10:06)
Practice Exercises: Pandas Data Manipulation [part 1] (20:36)
Pandas Data Manipulation Methods, Part II
Pandas assign (14:22)
Pandas filter (13:13)
Pandas query (22:11)
Pandas rename (13:04)
Pandas sort values (21:00)
Practice Exercises: Pandas Data Manipulation [part 2] (16:38)
Pandas Data Manipulation Methods, Part III
Pandas agg (18:09)
Pandas groupby (18:20)
Pandas concat (13:18)
Pandas merge (35:12)
Pandas melt (17:27)
Pandas pivot (12:40)
Practice Exercises: Pandas Data Manipulation [part 3] (5:44)
Combining Pandas Syntax
Putting the pieces together (9:00)
How to "Chain" Together Pandas Methods (7:44)
Case Study: Method Chaining (25:21)
The Process of Data Manipulation
The Data Preparation Process (23:06)
Case Study: Data Preparation for the supercars DataFrame (36:08)
BONUS: SQL Essentials
Setup: Download the "Chinook" Database
Setup: Get DB Browser
SELECT FROM
WHERE
GROUP BY
ORDER BY
INNER JOIN
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Case Study: Data Preparation for the supercars DataFrame
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