130+ Exercises - Python Programming - Data Science - Pandas

130+ Exercises - Python Programming - Data Science - Pandas

130+ Exercises - Python Programming - Data Science - Pandas - Improve your Python programming and data science skills and solve over 130 exercises in Pandas!

100-exercises-python-programming-data-science-pandas

  • Bestseller
  • Created by Paweł Krakowiak
  • English

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What you'll learn

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

Description

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COURSE DESCRIPTION
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130+ Exercises - Python Programming - Data Science - Pandas
Welcome to the course 130+ Exercises - Python Programming - Data Science - Pandas 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.
Who this course is for:

everyone who wants to learn by doing
everyone who wants to improve their Python programming skills
everyone who wants to improve their data science skills
everyone who wants to prepare for an interview

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