Interactive Statistical Data Visualization 101
In this guided project, we will explore plotly express to visualize statistical plots such as box plots, histograms, heatmaps, density maps, contour plots, and violin plots. Plotly express is a super powerful Python package that empowers anyone to create, manipulate and render graphical figures. This crash course is super practical and directly applicable to many industries such as banking, finance and tech industries. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
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- Level Beginner
- Duration 3 hours
- Course by Coursera Project Network
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In this guided project, we will explore plotly express to visualize statistical plots such as box plots, histograms, heatmaps, density maps, contour plots, and violin plots. Plotly express is a super powerful Python package that empowers anyone to create, manipulate and render graphical figures. This crash course is super practical and directly applicable to many industries such as banking, finance and tech industries. Note: This course works best for learners who are based in the North America region. We're currently working on providing the same experience in other regions.Modules
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- Interactive Statistical Data Visualization 101
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- Project Overview
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Explore the essentials of data visualization with "Interactive Statistical Data Visualization 101." Designed for beginners in Data Science & AI, this Coursera course, led by expert instructors, covers powerful tools like Plotly Express to create and manipulate various statistical plots. Ideal for industries such as banking, finance, and tech, the course spans 180 minutes and is available for free, primarily catering to learners in North America.
Ryan Ahmed