About this Course

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Flexible deadlines
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Shareable Certificate
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Coursera Labs
Includes hands on learning projects.
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Beginner Level

Completion of Data Analysis in Python with pandas & matplotlib in Spyder course or equivalent knowledge

Approx. 10 hours to complete
English

What you will learn

  • Create charts to describe and compare the composition of data sets

  • Illustrate the distribution of data through visualizations

  • Generate visualizations for specialized data (e.g. geographical, three dimensional, etc)

Skills you will gain

  • Data Science
  • Visual Communication
  • Python Programming
  • Histogram
  • Bar Chart
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.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Beginner Level

Completion of Data Analysis in Python with pandas & matplotlib in Spyder course or equivalent knowledge

Approx. 10 hours to complete
English

Offered by

Placeholder

Codio

Syllabus - What you will learn from this course

Week1
Week 1
3 hours to complete

Creating Comparison and Composition Charts

3 hours to complete
5 readings
Week2
Week 2
2 hours to complete

Creating Distribution Charts

2 hours to complete
2 readings
Week3
Week 3
2 hours to complete

Creating Specialized Visualizations

2 hours to complete
1 reading
Week4
Week 4
3 hours to complete

Communicating Data Using Jupyter notebook

3 hours to complete
3 readings

About the Data Science and Analysis Tools - from Jupyter to R Markdown Specialization

Data Science and Analysis Tools - from Jupyter to R Markdown

Frequently Asked Questions

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