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Python Toolbox

Level up your Python data science skills. Learn how to work with missing data and make your code more efficient!. This Python skill track will help you check missing data and impute missing dates and times in your analyses using linear interpolation. You'll also learn how to parse text efficiently through the magic of regular expressions and write cleaner, faster, and more efficient Python code. 

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1
Python
Dealing with Missing Data in Python

Learn how to identify, analyze, remove and impute missing data in Python.

4 hours

Suraj Donthi Headshot

Suraj Donthi

Deep Learning & Computer Vision Consultant

2
Python
Working with Dates and Times in Python

Learn how to work with dates and times in Python.

4 hours

DataCamp Content Creator

Course Instructor

3
Python
Regular Expressions in Python

Learn about string manipulation and become a master at using regular expressions.

4 hours

Maria Eugenia Inzaugarat Headshot

Maria Eugenia Inzaugarat

Data Scientist and Artificial Intelligence Consultant

4
Python
Writing Efficient Python Code

Learn to write efficient code that executes quickly and allocates resources skillfully to avoid unnecessary overhead.

4 hours

Logan Thomas Headshot

Logan Thomas

Scientific Software Technical Trainer, Enthought

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