- Introduction to Information Visualization with Seaborn
Seaborn is a strong Python library that makes it simple to create informative and engaging visualizations. This course offers an introduction to Seaborn and teaches you methods to visualize your information utilizing plots comparable to scatter plots, field plots, and bar plots. You’ll do that whereas exploring survey responses about pupil hobbies and the elements which are related to tutorial success. You’ll additionally study a few of Seaborn’s benefits as a statistical visualization device, comparable to the way it robotically calculates confidence intervals. By the top of the course, it is possible for you to to make use of Seaborn in a wide range of conditions to discover your information and successfully talk the outcomes of your information analyses to others.
1. Introduction to Seaborn
2. Visualizing Two Quantitative Variables
3. Visualizing a Categorical and a Quantitative Variable
4. Customizing Seaborn Plots
Erin Case, Erin is a Information Scientist who’s captivated with each statistics and training. She enjoys experimental design, speaking information analyses to a variety of audiences, and creating user-facing information merchandise for know-how firms. Beforehand, she was a biostatistician for 2 epidemiological research on cardiac arrest.
2. Intermediate Information Visualization with Seaborn
Do you wish to make lovely, informative visualizations with ease? In that case, then you have to be taught seaborn! Seaborn is a visualization library that’s a vital a part of the python information science toolkit. On this course, you’ll discover ways to use seaborn’s subtle visualization instruments to investigate a number of actual world datasets together with the American Housing Survey, school tuition information, and friends from the favored tv sequence, The Every day Present. Following this course, it is possible for you to to make use of seaborn capabilities to visualise your information in a number of totally different codecs and customise seaborn plots to your distinctive wants.
1. Seaborn Introduction
2. Customizing Seaborn Plots
3. Further Plot Varieties
4. Creating Plots on Information Conscious Grids
Chris Moffitt, is an lively python person with over ten years of expertise utilizing python for every little thing from net improvement to system administration and most not too long ago information science. He’s the writer of the favored weblog Sensible Enterprise Python the place he describes methods to use python’s information science instruments to resolve frequent enterprise issues. He has levels in Electrical Engineering and Laptop Science from Vanderbilt College and an MBA from the College of Minnesota.
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