130+ Exercises - Python Programming - Data Science - Pandas
Updated on
Course overview
- Provider
- Udemy
- Course type
- Paid course
- Level
- Beginner
- Lessons
- 147 lessons
- Certificate
- Available on completion
- Course author
- Paweł Krakowiak
-
- 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.
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