About this Course

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Flexible deadlines
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Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Intermediate Level
Approx. 31 hours to complete
English

What you will learn

  • Understand techniques such as lambdas and manipulating csv files

  • Describe common Python functionality and features used for data science

  • Query DataFrame structures for cleaning and processing

  • Explain distributions, sampling, and t-tests

Skills you will gain

  • Python Programming
  • Numpy
  • Pandas
  • Data Cleansing
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Intermediate Level
Approx. 31 hours to complete
English

Offered by

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University of Michigan

Start working towards your Master's degree

This course is part of the 100% online Master of Applied Data Science from University of Michigan. If you are admitted to the full program, your courses count towards your degree learning.

Syllabus - What you will learn from this course

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Week
1
Week 1
12 hours to complete

Fundamentals of Data Manipulation with Python

12 hours to complete
12 videos (Total 111 min), 6 readings, 2 quizzes
Week
2
Week 2
6 hours to complete

Basic Data Processing with Pandas

6 hours to complete
9 videos (Total 89 min), 1 reading, 2 quizzes
Week
3
Week 3
7 hours to complete

More Data Processing with Pandas

7 hours to complete
6 videos (Total 84 min), 1 reading, 2 quizzes
Week
4
Week 4
6 hours to complete

Answering Questions with Messy Data

6 hours to complete
2 videos (Total 20 min), 5 readings, 2 quizzes

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About the Applied Data Science with Python Specialization

Applied Data Science with Python

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