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

  •   Import large tabular datasets & customize the import options for your application
  •   Extract subsets of data & compute statistics on groups of related data
  •   Create customized visualizations to highlight the most relevant results from your analysis
  •   Use interactive tools to explore, analyze, & visual data with automated code generation for reproducing results
  • Skills you'll gain

  •   Data Analysis
  •   Data Manipulation
  •   Interactive Data Visualization
  •   Matlab
  •   Data Mapping
  •   Scripting
  •   Descriptive Statistics
  •   Data Visualization Software
  •   Exploratory Data Analysis
  •   Data Import/Export
  •   Statistical Analysis
  •   Data Science
  •   Technical Communication
  •   Probability & Statistics
  • 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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