Exploratory Data Analysis with MATLAB

Por: Coursera . en: ,

  • Introduction to the Data Science Workflow
    • In this module you’ll learn about the key steps in a data science workflow and begin exploring a data set using a script provided for you. As you work with the file, take note of the different elements in the script. As you progress through the course, you’ll create a similar script yourself.
  • Importing Data
    • In this module you’ll import data into MATLAB, customize the import options, and generate code to automate the process. You’ll also work with different types of data, such as numeric, dates, and text.
  • Visualizing and Filtering Data
    • In this module you’ll create visualizations and learn how to customize figures. You’ll also filter your data to select only what is needed for your analysis. You’ll create new tables and save them to use in the future or share with others outside of MATLAB.
  • Performing Calculations
    • In this module you’ll write small pieces of code to extend your analysis. You’ll calculate summary statistics on groups of data and determine if variables are correlated. You’ll extend your ability to filter data to defining conditions across multiple variables. You’ll also modify categorical data to remove, combine, or create new categories to use for defining groups.
  • Documenting Your Work
    • In this module you’ll create live scripts with interactive controls. Then you’ll create your own analysis of a weather event to submit as a peer-reviewed assignment.

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