About this Course

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Learner Career Outcomes

23%

started a new career after completing these courses

24%

got a tangible career benefit from this course

13%

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. 20 hours to complete
English

What you will learn

  • Describe what makes a good or bad visualization

  • Understand best practices for creating basic charts

  • Identify the functions that are best for particular problems

  • Create a visualization using matplotlb

Skills you will gain

Python ProgrammingData VirtualizationData Visualization (DataViz)Matplotlib

Learner Career Outcomes

23%

started a new career after completing these courses

24%

got a tangible career benefit from this course

13%

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. 20 hours to complete
English

Offered by

Placeholder

University of Michigan

Syllabus - What you will learn from this course

Content RatingThumbs Up93%(8,754 ratings)Info
Week
1

Week 1

4 hours to complete

Module 1: Principles of Information Visualization

4 hours to complete
7 videos (Total 37 min), 6 readings, 2 quizzes
Week
2

Week 2

7 hours to complete

Module 2: Basic Charting

7 hours to complete
7 videos (Total 42 min), 2 readings, 1 quiz
Week
3

Week 3

6 hours to complete

Module 3: Charting Fundamentals

6 hours to complete
6 videos (Total 39 min), 3 readings, 2 quizzes
Week
4

Week 4

4 hours to complete

Module 4: Applied Visualizations

4 hours to complete
3 videos (Total 18 min), 2 readings, 1 quiz

Reviews

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About the Applied Data Science with Python Specialization

Applied Data Science with Python

Frequently Asked Questions

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