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URL: https://www.coursera.org/learn/explore-and-visualize-data-the-python-way

⇱ Explore and Visualize Data the Python Way | Coursera

Explore and Visualize Data the Python Way

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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
Flexible schedule
Learn at your own pace
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

There is 1 module in this course

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.

Upon completion, you'll be able to: • Conduct EDA to summarize datasets by using descriptive statistics, identify patterns, and detect anomalies. • Create static visualizations such as line plots, bar charts, boxplots, histograms, and scatter plots. • Build interactive plots that allow user engagement. • Integrate EDA and visualization techniques in a two‑part challenge that requires both static and interactive outputs.

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 labs

3 videos•Total 16 minutes
  • First Look: Smart EDA for HR Data •7 minutes
  • Professional Visualizations: From Basic to Beautiful•6 minutes
  • Interactive Dashboards with Plotly: Bringing Data to Life•3 minutes
4 readings•Total 55 minutes
  • Course Overview•10 minutes
  • Exploratory Data Analysis Techniques•30 minutes
  • Choosing the Right Visualization: A Guide to Basic Chart Types•10 minutes
  • Congratulations and Next Steps•5 minutes
2 assignments•Total 60 minutes
  • Graded Assessment: Visualization Challenge •30 minutes
  • Knowledge Check: EDA Concepts •30 minutes
1 programming assignment•Total 180 minutes
  • Graded Lab: Comprehensive EDA Challenge•180 minutes
3 ungraded labs•Total 180 minutes
  • Guided EDA Exercises Lab•60 minutes
  • Building Visualizations Lab•60 minutes
  • Interactive Visualization Lab•60 minutes

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