MATLAB for Data Processing and Visualization

Go to class
Write Review

MATLAB for Data Processing and Visualization provided by MATLAB Academy is a comprehensive online course, which lasts for 8 hours worth of material. MATLAB for Data Processing and Visualization is taught by Renee Bach. Upon completion of the course, you can receive an e-certificate from MATLAB Academy. The course is taught in Englishand is Free Certificate. Visit the course page at MATLAB Academy for detailed price information.

Overview
    • Getting Started: Overview of the content covered.
    • Graphics Functions: Customize plot types for 2D visualization.
    • Customizing Graphics Objects: Create sophisticated visualizations using MATLAB graphics objects
    • Defining Categories of Data: Import data from a text file and organize it using categories.
    • Importing Data from Multiple Files: Read large data stored in multiple files.
    • Analyzing Groups within Data: Identify group within the data and analyze them.
    • Review Project: An exercise that brings together data importing, processing, and visualization.
    • Images and 3-D Surface Plots: Plotting irregularly spaced data.
    • Importing Unstructured Data: Importing blocks of data into MATLAB.
    • Conclusion: Learn next steps and give feedback on the course.

Syllabus
    • Course Overview
    • Importing Weather Event Data from a Text File
    • Customizing a Variety of Vector Visualizations
    • Comparing Data in Columns
    • Review - Graphics Functions
    • Course Example - Visualizing Weather Events
    • Modifying Graphics Properties
    • Customizing Multiple Graphics Objects on an Axis
    • The Graphics Object Hierarchy
    • Review - Customizing Graphics Objects
    • Categories and Set Operations
    • Discretizing Continuous Data
    • Review - Defining Categories of Data
    • Course Example - Importing Hurricane Data from Multiple Files
    • Creating Datastores
    • Modifying Datastore Properties
    • Importing Data into MATLAB
    • Importing Data Types Directly
    • Skipping Columns of Data
    • Merging Data
    • Review - Importing Data from Multiple Files
    • Course Example - Analyzing Groups within Data
    • Finding Unique Groups of Data
    • Aggregating Grouped Data
    • Aggregating Data into a Prescribed Format
    • Review - Analyzing Groups within Data
    • Project - Vehicle Fuel Efficiency 2
    • Course Example - Visualizing Australian Temperature Data
    • Making Grids
    • Interpolating Scattered Data
    • Visualizing Surfaces
    • Colormaps and Indexed Colors
    • Creating Indexed-Color Images
    • Review - Images and 3-D Surface Plots
    • Course Example - Importing Australian Temperature Data
    • Low-Level File IO
    • Importing a Block of Formatted Data
    • Processing Data in Blocks
    • Review - Importing Unstructured Data
    • Additional Resources
    • Survey