About this Course

188,503 recent views

Learner Career Outcomes

22%

started a new career after completing these courses

25%

got a tangible career benefit from this course

14%

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. 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

22%

started a new career after completing these courses

25%

got a tangible career benefit from this course

14%

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. 20 hours to complete
English

Offered by

Placeholder

University of Michigan

Syllabus - What you will learn from this course

Content RatingThumbs Up93%(9,074 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

TOP REVIEWS FROM APPLIED PLOTTING, CHARTING & DATA REPRESENTATION IN PYTHON

View all reviews

About the Applied Data Science with Python Specialization

Applied Data Science with Python

Frequently Asked Questions

More questions? Visit the Learner Help Center.