Exploratory Data Analysis with MATLAB
This course is part of Practical Data Science with MATLAB Specialization
Instructors: Erin Byrne +7 more
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What you'll learn
Skills you'll gain
There are 5 modules in this course
These skills are valuable for those who have domain knowledge and some exposure to computational tools, but no programming background is required. To be successful in this course, you should have some knowledge of basic statistics (e.g., histograms, averages, standard deviation, curve fitting, interpolation). By the end of this course, you will be able to load data into MATLAB, prepare it for analysis, visualize it, perform basic computations, and communicate your results to others. In your last assignment, you will combine these skills to assess damages following a severe weather event and communicate a polished recommendation based on your analysis of the data. You will be able to visualize the location of these events on a geographic map and create sliding controls allowing you to quickly visualize how a phenomenon changes over time.
Importing Data
Visualizing and Filtering Data
Performing Calculations
Documenting Your Work
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