About this Course

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Learner Career Outcomes

33%

started a new career after completing these courses

35%

got a tangible career benefit from this course

10%

got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 31 hours to complete
English

Skills you will gain

Python ProgrammingNumpyPandasData Cleansing

Learner Career Outcomes

33%

started a new career after completing these courses

35%

got a tangible career benefit from this course

10%

got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 31 hours to complete
English

Instructor

Offered by

Placeholder

University of Michigan

Syllabus - What you will learn from this course

Content RatingThumbs Up92%(57,158 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
12 videos
Introduction to the Course4m
The Coursera Jupyter Notebook System8m
Python Functions8m
Python Types and Sequences8m
Python More on Strings3m
Python Demonstration: Reading and Writing CSV files3m
Python Dates and Times2m
Advanced Python Objects, map()5m
Advanced Python Lambda and List Comprehensions2m
Numerical Python Library (NumPy)32m
Manipulating Text with Regular Expression27m
7 readings
Syllabus10m
Notice for Auditing Learners: Assignment Submission10m
Help Us Learn More About You!10m
Week 1 Textbook Reading Assignment2h
50 years of Data Science, David Donoho (Optional)1h 30m
Regular Expression Operations documentation1h
Regular Expressions Debugging10m
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
9 videos
The Series Data Structure10m
Querying a Series15m
DataFrame Data Structure12m
DataFrame Indexing and Loading8m
Querying a DataFrame9m
Indexing Dataframes8m
Missing Values11m
Example: Manipulating DataFrame8m
1 reading
Week 2 Reading Assignments1h
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
6 videos
Pandas Idioms15m
Group by19m
Scales10m
Pivot Table9m
Date/Time Functionality12m
1 reading
Week 3 Reading Assignments2h
Week
4

Week 4

5 hours to complete

Answering Questions with Messy Data

5 hours to complete
2 videos (Total 20 min), 4 readings, 2 quizzes
2 videos
Other Forms of Structured Data6m
4 readings
Science Isn't Broken: p-hacking45m
Goodhart's Law (Optional)30m
The 5 Graph Algorithms that you should know10m
Post-course Survey10m
1 practice exercise
Final Quiz30m

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About the Applied Data Science with Python Specialization

Applied Data Science with Python

Frequently Asked Questions

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