Udemy - Data Visualization for Data Scientists

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Udemy - Data Visualization for Data Scientists (Size: 2.2 GB)
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
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  1 - Introduction
  1. Introduction.mp4 10.7 MB
  2 - Tailoring to your Audience
  3 - Creating Basic Plots
  10. Histograms.mp4 231.6 MB
  11. Box Plots.mp4 141.5 MB
  12. Scatter Plots.mp4 181.3 MB
  13. Pandas Integration.mp4 46.1 MB
  14. Exercise 1.mp4 13.3 MB
  4 - Design and Cognitive Load
  15. Design Concepts.mp4 93.9 MB
  16. Preattentive Attributes.mp4 65.1 MB
  17. Hands On - Turning Lead into Gold.mp4 116.5 MB
  18. Exercise 2.mp4 5.6 MB
  5 - Getting Technical with Object Oriented Programming
  19. Object Oriented Programming (Part 1).mp4 132 MB
  20. Object Oriented Progamming (Part 2).mp4 131.4 MB
  6 - Styling
  21. Overview.mp4 5.5 MB
  22. Exploring Styles.mp4 66.3 MB
  23. Setting Styles.mp4 56.9 MB
  24. Levelling up with Stylesheets.mp4 11.5 MB
  7 - Creating a Machine Learning Model - Showing your Work
  25. Time for some Real Data Science! (Part 1).mp4 115.9 MB
  26. Time for some Real Data Science! (Part 2).mp4 101.1 MB
  27. Exercise 3.mp4 11.6 MB
  8 - Summary
  28. Summary.mp4 60.7 MB
  7. Introduction.mp4 1.5 MB
  8. Line Plots.mp4 208.7 MB
  9. Bar Charts.mp4 183.3 MB
  4. Tailoring Visualisations to your Audience.mp4 39.2 MB
  5. Exploratory vs Explanatory Visualisations.mp4 116.6 MB
  6. The Importance of Context.mp4 41.9 MB
  2. Project Brief.mp4 22.4 MB
  3. Course Repository Link.html 6.1 KB

Description


Data Visualization for Data Scientists
https://WebToolTip.com
Published 8/2026

Created by James Ryder

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch

Level: All Levels | Genre: eLearning | Language: English | Duration: 28 Lectures ( 4h 34m ) | Size: 2.2 GB
Master visualization design, business communication, and storytelling with Python to become an AI-proof Data Scientist
What you'll learn

⚡ Create data visualisations that capture attention, inspire confidence, and influence decisions.

⚡ Stop relying on default charts and confidently develop visualisations that fit your message and audience.

⚡ Master Python techniques to build polished, purpose-driven statistical and data science visualisations.

⚡ Transform complex analysis into clear, compelling stories that stakeholders understand and remember.

⚡ Apply proven design principles that reduce cognitive load and maximise audience understanding.

⚡ Develop the communication skills that help exceptional data scientists stand out in an AI-driven world.
Requirements

❗ No prior experience with data visualisation is required—the course is suitable for beginners through to experienced data scientists.

❗ An understanding of Python is helpful, but you don't need to be an expert. The focus is on designing better visualisations, not advanced programming.

❗ A free Google account is all you need to run the interactive Google Colab notebooks—no software installation or powerful hardware required.

❗ A willingness to rethink default charts and approach visualisation as a communication skill, not just a technical one.

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