Beginner
47 Lessons
9h
Certificate of Completion
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This course includes
This course includes
Course Overview
Data wrangling is cleaning, transforming, and organizing data for further analysis. In this course, you will learn how to use Python to effectively wrangle and prepare data for use in data science and machine learning projects. Throughout the course, you will learn about the common challenges that arise when working with data and how to overcome them. You will use Python and several libraries commonly used in data wrangling, including NumPy and pandas. Then, you will learn how to use pandas to clean, trans...Show More
What You'll Learn
Understanding of data wrangling and its application in developing data solutions
A working knowledge of common data wrangling challenges and their solutions
Hands-on experience applying data wrangling techniques using Python to prepare data for further analysis
Familiarity with the core components of data wrangling and the ability to differentiate between data wrangling techniques to understand their suitability
Hands-on experience with datasets to practice the data wrangling techniques in a mini project at the end of the course
What You'll Learn
Understanding of data wrangling and its application in developing data solutions
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Course Content
About This Course
Introduction to Data Wrangling
Reading Data
Standardization
Syntax Errors and Irrelevant Data
Duplicate and Missing Data
6 Lessons
Filtering and Sorting
6 Lessons
Splitting, Combining, and Merging
5 Lessons
Handling Outliers
5 Lessons
Exporting Data
4 Lessons
Humanitarian Aid Project
Project
Conclusion
1 Lesson
Course Author
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Anthony Walker
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Emma Bostian 🐞
@EmmaBostian
Evan Dunbar
ML Engineer
Carlos Matias La Borde
Software Developer
Souvik Kundu
Front-end Developer
Vinay Krishnaiah
Software Developer
Eric Downs
Musician/Entrepeneur
Kenan Eyvazov
DevOps Engineer
Anthony Walker
@_webarchitect_
Emma Bostian 🐞
@EmmaBostian
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