About this Course

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Flexible deadlines
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Shareable Certificate
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Beginner Level

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

Approx. 9 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.
Beginner Level

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

Approx. 9 hours to complete
English

Offered by

Placeholder

Codio

Syllabus - What you will learn from this course

Week
1

Week 1

2 hours to complete

Creating Comparison and Composition Charts

2 hours to complete
3 readings
Week
2

Week 2

2 hours to complete

Creating Distribution Charts

2 hours to complete
Week
3

Week 3

2 hours to complete

Creating Specialized Visualizations

2 hours to complete
Week
4

Week 4

2 hours to complete

Communicating Data Using Jupyter notebook

2 hours to complete

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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