In this course, you'll learn to uncover and communicate insights through powerful data visualization techniques. You'll master both static and interactive visualization tools, from Matplotlib and Seaborn to Plotly, while conducting thorough exploratory data analysis. Using the EngageMetrics and MediTrack datasets, you'll develop the skills to transform complex data into compelling visual stories that drive decision-making.
Explore and Visualize Data the Python Way
Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
8 hours to complete
Flexible schedule
Learn at your own pace
Skills you'll gain
- Data Visualization Software
- Anomaly Detection
- Plot (Graphics)
- Seaborn
- Jupyter
- Box Plots
- Exploratory Data Analysis
- GitHub
- Statistical Visualization
- Data Presentation
- Plotly
- Interactive Data Visualization
- Data Visualization
- Data Science
- Data Analysis
- Data Storytelling
- Matplotlib
- Python Programming
- Descriptive Statistics
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
July 2025
Assessments
2 assignments
Taught in English
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There is 1 module in this course
In this module, you'll learn to uncover and communicate insights through powerful data visualization techniques. You'll master both static and interactive visualization tools, from Matplotlib and Seaborn to Plotly, while conducting thorough exploratory data analysis. Using the EngageMetrics and MediTrack datasets, you'll develop the skills to transform complex data into compelling visual stories that drive decision-making.
What's included
3 videos4 readings2 assignments1 programming assignment3 ungraded labs2 plugins
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