Data Communication & Visualization

Data Science    |    Beginner
  • 15 Videos | 1h 12m 49s
  • Includes Assessment
  • Earns a Badge
Likes 54 Likes 54
The final step in the data science pipeline is to communicate the results or findings. Explore communication and visualization concepts needed by data scientists.

WHAT YOU WILL LEARN

  • choose appropriate visualization techniques
    describe the difference between correlation and causation
    define Simpson's paradox
    communicate data science results informally
    communicate data science results formally
    implement strategies for effective data communication
    use scatter plots
    use line graphs
  • use bar charts
    use histograms
    use box plots
    create a network visualization
    create a bubble plot
    create an interactive plot
    find an appropriate data set in which a scatter plot represents it visually and plot it

IN THIS COURSE

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