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. 21 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 Programming
  • Data Virtualization
  • Data Visualization (DataViz)
  • Matplotlib
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. 21 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
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
7 hours to complete

Module 3: Charting Fundamentals

7 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

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