Pandas Library
Self-paced video training — 8 modules, 9 lessons. Work through it at your own pace — every lesson is real recorded training, not slide-reading.
▶INSIDE THE COURSE · 9 LESSONSABOUT THIS COURSE
In this intermediate course on the Pandas Library, students will learn about essential data structures such as Series and DataFrames. The course covers how to create, manipulate, and analyze data using these structures, with practical exercises to enhance understanding. By the end, learners will be equipped to handle data efficiently and perform various operations on DataFrames.
CURRICULUM
8 modules, in order.
01Introduction1 LESSONS
This lesson provides an overview of the Pandas library and its capabilities.
02Pandas Data Structures - Series1 LESSONS
Learn about the Series data structure in Pandas and how to use it.
03Pandas Data Structures - Dataframes1 LESSONS
Explore the DataFrame data structure in Pandas and its features.
04Playing with Dataframes1 LESSONS
Discover how to manipulate and work with DataFrames in Pandas.
05Selecting columns rows from a Dataframe1 LESSONS
Understand how to select specific columns and rows from a DataFrame.
06Subsetting of Dataframes1 LESSONS
Learn the techniques for subsetting DataFrames in Pandas.
07Indexing2 LESSONS
Dive into the first part of indexing in DataFrames.
Continue learning about indexing in DataFrames with the second part.
08Dataframes Merging and Concatenating1 LESSONS
Discover how to merge and concatenate DataFrames in Pandas.
CURATED BY
Selected from experienced educators' training libraries and kept whole — modules, worked examples and walkthroughs exactly as taught.
GOOD TO KNOW
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Watch on two devices at once — phone, tablet or desktop.
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$39 · ONE PAYMENT
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One payment unlocks all 9 lessons instantly — start with lesson one the moment you check out.