Prerequisites

This course is also offered in an online, self-paced format.

Self-paced courses provide active engagement with MATLAB through in-browser, hands-on exercises that you can complete anytime, anywhere, at your own pace.

Watch: The Advantages of Self-Paced Training (1:03)

MATLAB for Data Processing and Visualization

This one-day course focuses on importing and preparing data for data analytics applications. The course is intended for data analysts and data scientists who need to automate the processing, analysis, and visualization of data from multiple sources. Topics include:

Importing data
Processing data
Customizing visualizations
Working with irregular data

See detailed course outline

Prerequisites

MATLAB Fundamentals

This course is also offered in an online, self-paced format.

Self-paced courses provide active engagement with MATLAB through in-browser, hands-on exercises that you can complete anytime, anywhere, at your own pace.

Watch: The Advantages of Self-Paced Training (1:03)

Day 1 of 1
Importing Data	Objective: Read text files that contain a mixture of data types, delimiters, and headers. Import a mixture of data types from arbitrarily formatted text files Import only required columns of data from a text file Import and merge data from multiple files
Processing Data	Objective: Process raw imported data by extracting, manipulating, aggregating, and counting portions of data. Process data with missing elements Create and modify categorical arrays Aggregate, bin, and count groups of data
Customizing Visualizations	Objective: Annotate and modify standard plots to produce informative customized graphics. Determine properties of graphics objects and their associated values Locate and manipulate graphics objects Customize plots by modifying properties of graphics objects
Working with Irregular Data	Objective: Import and visualize scattered data from text files with irregular formatting. Parse text files to determine formatting Import data from separate sections of a text file Extract data from container variables Interpolate irregularly spaced three-dimensional data Visualize three-dimensional data in two and three dimensions

Guaranteed to Run

When you register for one of these courses, you can rely on the fact that it won't be canceled or rescheduled for any reason.

Course Schedule

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Dates	Location	Language	Price	Register
On Demand	Self-Paced 180 days of full access from the day of purchase	English	USD 200
22 Sep 2020	Finland, Helsinki	English	EUR 700

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