About this Course

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Shareable Certificate
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100% online
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Intermediate Level
Approx. 17 hours to complete
English

What you will learn

  • Describe the importance of data visualization.

  • Relate the history of Matplotlib and its architecture.

  • Apply Matplotlib to create plots using Jupyter notebooks.

  • Discover how to read CSV files into a Pandas DataFrame; process and manipulate the data in the DataFrame; and generate line plots using Matplotlib.

Skills you will gain

Python ProgrammingData VirtualizationPlotlyMatplotlibData Visualization (DataViz)
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. 17 hours to complete
English

Offered by

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IBM

Syllabus - What you will learn from this course

Content RatingThumbs Up91%(8,922 ratings)Info
Week
1

Week 1

2 hours to complete

Introduction to Data Visualization Tools

2 hours to complete
6 videos (Total 27 min), 2 readings, 2 quizzes
Week
2

Week 2

3 hours to complete

Basic and Specialized Visualization Tools

3 hours to complete
6 videos (Total 26 min), 2 readings, 4 quizzes
Week
3

Week 3

3 hours to complete

Advanced Visualizations and Geospatial Data

3 hours to complete
6 videos (Total 15 min), 2 readings, 4 quizzes
Week
4

Week 4

6 hours to complete

Creating Dashboards with Plotly and Dash

6 hours to complete
4 videos (Total 17 min), 6 readings, 6 quizzes

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