About this Course

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Learner Career Outcomes

26%

started a new career after completing these courses

30%

got a tangible career benefit from this course

13%

got a pay increase or promotion
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. 30 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 ProgrammingNumpyPandasData Cleansing

Learner Career Outcomes

26%

started a new career after completing these courses

30%

got a tangible career benefit from this course

13%

got a pay increase or promotion
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. 30 hours to complete
English

Offered by

Placeholder

University of Michigan

Syllabus - What you will learn from this course

Content RatingThumbs Up92%(64,679 ratings)Info
Week
1

Week 1

12 hours to complete

Fundamentals of Data Manipulation with Python

12 hours to complete
12 videos (Total 111 min), 7 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

Frequently Asked Questions

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