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.
This three-day course provides a comprehensive introduction to the MATLAB® technical computing environment. No prior programming experience or knowledge of MATLAB is assumed. Themes of data analysis, visualization, modeling, and programming are explored throughout the course. Topics include:
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.
| Day 1 of 3 | |
|---|---|
| Working with the MATLAB User Interface | Objective: Become familiar with the main features of the MATLAB integrated design environment and its user interfaces. Get an overview of course themes.
|
| Variables and Commands | Objective: Enter MATLAB commands, with an emphasis on creating variables, accessing and manipulating data in variables, and creating basic visualizations. Collect MATLAB commands into scripts for ease of reproduction and experimentation.
|
| Analysis and Visualization with Vectors | Objective: Perform mathematical and statistical calculations with vectors. Use MATLAB syntax to perform calculations on whole data sets with a single command. Organize scripts into logical sections for development, maintenance, and publishing.
|
| Day 2 of 3 | |
|---|---|
| Analysis and Visualization with Matrices | Objective: Use matrices as mathematical objects or as collections of (vector) data. Understand the appropriate use of MATLAB syntax to distinguish between these applications.
|
| Tables of Data | Objective: Import data as a MATLAB table. Work with data stored as a table.
|
| Conditional Data Selection | Objective: Extract and analyze subsets of data that satisfy given criteria.
|
| Organizing Data | Objective: Organize table data for analysis. Represent data using appropriate native MATLAB data types.
|
| Day 3 of 3 | |
|---|---|
| Analyzing Data | Objective: Perform typical data analysis tasks in MATLAB, including importing data from files, preprocessing data, fitting a model to data, and creating a customized visualization of the model.
|
| Increasing Automation with Programming Constructs | Objective: Create flexible code that can interact with the user, make decisions, and adapt to different situations.
|
| Increasing Automation with Functions | Objective: Increase automation by encapsulating modular tasks as user-defined functions. Understand how MATLAB resolves references to files and variables. Use MATLAB development tools to find and correct problems with code.
|
| Dates | Location | Language | Price | Register |
|---|---|---|---|---|
| On Demand |
Self-Paced 180 days of full access from the day of purchase |
Japanese | USD 500 | |
| On Demand |
Self-Paced 180 days of full access from the day of purchase |
English | USD 500 | |
|
26 aug 2019- 28 aug 2019 |
India, Hyderabad | English | INR 39.000 | |
|
16 sep 2019- 18 sep 2019 |
India, Pune | English | INR 39.000 | |
|
23 sep 2019- 25 sep 2019 |
India, Chennai | English | INR 39.000 | |
|
04 nov 2019- 06 nov 2019 |
India, Bangalore | English | INR 39.000 |
The pricing applies for purchase and use in United States, For pricing in other regions Contact Sales. The product price does not include sales, use, excise, value-added, or other taxes. Any applicable taxes, duties, levies, assessments and governmental charges payable in connection with this purchase will be assessed on the order. Refer to Training Policies for more information
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