130+ Exercises – Python – Data Science – Pandas – 2022

130+ Exercises – Python Programming – Data Science – Pandas

Welcome to the 130+ Exercises – Python Programming – Data Science – Pandas course where you can test your Python programming skills in data science, specifically in Pandas.

Some topics you will find in the exercises:

• working with Series
• working with DatetimeIndex
• working with DataFrames
• reading/writing files
• working with different data types in DataFrames
• working with indexes
• working with missing values
• filtering data
• sorting data
• grouping data
• mapping columns
• computing correlation
• concatenating DataFrames
• calculating cumulative statistics
• working with duplicate values
• preparing data to machine learning models
• dummy encoding
• working with csv and json filles
• merging DataFrames
• pivot tables

The course is designed for people who have basic knowledge in Python, NumPy and Pandas. It consists of 130 exercises with solutions.  This is a great test for people who are learning the Python language and data science and are looking for new challenges. Exercises are also a good test before the interview. Many popular topics were covered in this course.

If you’re wondering if it’s worth taking a step towards Python, don’t hesitate any longer and take the challenge today.

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