MATLAB 2018 Essential Training

Course details

Learn how to analyze data using one of the most powerful statistical software packages available: MATLAB 2018. 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 economist should be able to effectively use MATLAB for numerical analysis, data modeling, and data visualization.

Topics include:
Defining variables and contains
Exploring operators
Summarizing with built-in functions
Generating random numbers
Defining vectors and matrices
Accepting input in scripts
Writing and reading data from external files
Creating custom functions
Using conditional logic
Repeating operations with loops
Working with text strings
Plotting data and function output
Formatting, saving, and printing plots
Using statistical and matrix functions

Concepts

0. Introduction

01 - Use MATLAB for data calculation
02 - What you should know

1. Starting Out with MATLAB 2018

03 - Tour the MATLAB Workspace window
04 - Define variables and constants
05 - Overview of arithmetic, comparison, and logical operators
06 - Explore arithmetic, comparison, and logical operators
07 - Define ranges of values
08 - Summarize values using built-in functions
09 - Generate random numbers
10 - Get help in MATLAB

2. Managing Vectors and Matrices

11 - Define vectors and matrices
12 - Refer to matrix and vector elements
13 - Overview of matrix multiplication
14 - Perform matrix multiplication
15 - Perform scalar and element-wise operations on vectors and matrices
16 - Use vectors and matrices in a function
17 - Generate special matrices
18 - Transpose and find the inverse of matrices

3. Creating MATLAB Scripts

19 - Create a MATLAB script
20 - Accept input values in a script
21 - Display values within a script
22 - Write values to an external file
23 - Load values from a file into a script
24 - Create a user-defined function

4. Conditional Logic and Loops

25 - Include if and if-else statements in a script
26 - Apply conditional logic using Switch
27 - Examine values using the is statements
28 - Use is statements
29 - Perform operations multiple times using for loops
30 - Perform operations while a specific condition is true

5. Managing Strings and Data Structures

31 - Define string variables
32 - Concatenate strings
33 - Create a custom string using sprintf
34 - Clean text by removing white space and changing case
35 - Compare, find, and replace strings
36 - Convert strings to numbers

6. Performing Advanced Plotting and Statistical Analysis

37 - Plot data and function output
38 - Create other plot types
39 - Format plot elements
40 - Save and print plots
41 - Summarize data using statistical functions
42 - Solve systems of linear equations using matrix functions

Conclusion

43 - Further information