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

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.

Stack Overflow Developer Survey

According to the Stack Overflow Developer Survey 2021, Python is the most wanted programming language with NumPy being the second most used tool in the "Other Frameworks and Libraries" category. Python passed SQL to become our third most popular technology. Python is the language developers want to work with most if they aren’t already doing so.

Improve your Python programming and data science skills and solve over 130 exercises in Pandas!

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What you will learn

• solve over 130 exercises in Pandas
• deal with real programming problems in data science
• work with documentation and Stack Overflow

Rating: 4.68182

Level: Beginner Level

Duration: 1 hour

Instructor: Paweł Krakowiak