MATLAB Essential Training

Course details

Learn how to analyze data using one of the most powerful statistical software packages available. MATLAB is a highly useful tool for complex computation, as it allows high-order calculations and analysis in matrices. In fact, it treats all of its data as vectors and matrices, so the course starts with a basic linear algebra tutorial outside of the program before describing essential analytical skills performed using MATLAB. Instructor Curt Frye covers creating MATLAB scripts, accepting user input, extending MATLAB with user-defined functions, controlling flow with conditional logic and loops, managing text strings and other data structures like numbers, performing advanced plotting, and summarizing data using statistical analysis functions. By the end of the course, data scientists such as engineers and economists should be able to effectively use MATLAB for numerical analysis, data modeling, and data visualization.

Concepts

0. Introduction

01 - Getting started with MATLAB
02 - What you should know
03 - Get help in MATLAB

1. Managing Ranges, Vectors, and Matrices

04 - Define ranges of values
05 - Generate random numbers
06 - Perform scalar and element-wise operations
07 - Describe matrix multiplication
08 - Perform matrix multiplication
09 - Use vectors and matrices in a function
10 - Transpose and find the inverse of matrices

2. Creating MATLAB Scripts

11 - Create a MATLAB script
12 - Accept input values in a script
13 - Display values within a script
14 - Write values to an external file
15 - Load values from a file into a script
16 - Create a user-defined function

3. Creating Conditional Logic and Loops

17 - Include if and elseif statements in a script
18 - Apply conditional logic using switch
19 - Describe the is statements
20 - Compare values using the is statements
21 - Perform operations multiple times using for loops
22 - Perform operations while a specific condition is true
23 - Move to next iteration of a for or while loop using continue
24 - End a for or while loop using break

4. Managing Strings

25 - Create a custom string using sprintf
26 - Clean text by removing white space and changing case
27 - Compare, find, and replace strings
28 - Convert strings to numbers

5. Plotting Data and Functions

29 - Plot data and function output
30 - Create other plot types
31 - Create a scatter plot
32 - Format plot elements
33 - Save and print plots

6. Performing Statistical and Numerical Analysis

34 - Solve systems of linear equations using matrix functions
35 - Summarize data using statistical functions
36 - Identify top and bottom values in a data set
37 - Evaluate a function given a specific input
38 - Evaluate a polynomial at a given point

Conclusion

39 - Further information