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
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Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
8 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace
Skills you'll gain
- Data Transformation
- Pandas (Python Package)
- Data Visualization
- Anomaly Detection
- GitHub
- Interactive Data Visualization
- Statistical Analysis
- Matplotlib
- Scientific Visualization
- Jupyter
- Data Storytelling
- Exploratory Data Analysis
- Plotly
- Data Manipulation
- Git (Version Control System)
- Data Analysis
- Python Programming
- Data Science
- A/B Testing
- Data Visualization Software
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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