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In this course, you will 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.
- The course starts with a basic linear algebra tutorial outside of the program before describing essential analytical skills performed using MATLAB.
- 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.
Syllabus:
1. Starting Out with MATLAB 2018
- Tour the MATLAB Workspace window
- Define variables and constants
- Overview of arithmetic, comparison, and logical operators
- Explore arithmetic, comparison, and logical operators
- Define ranges of values
- Summarize values using built-in functions
- Get help in MATLAB
2. Managing Vectors and Matrices
- Define vectors and matrices
- Refer to matrix and vector elements
- Overview of matrix multiplication
- Perform matrix multiplication
- calar and element-wise operations on vectors and matrices
- Use vectors and matrices in a function
- Generate special matrices
- Transpose and find the inverse of matrices
3. Creating MATLAB Scripts
- Create a MATLAB script
- Accept input values in a script
- Display values within a script
- Write values to an external file
- Create a user-defined function
4. Conditional Logic and Loops
- Include if and if-else statements in a script
- Apply conditional logic using Switch
- Examine values using the is statements
- Use is statements
- multiple times using for loops
- while a specific condition is true
5. Managing Strings and Data Structures
- Define string variables
- Concatenate strings
- String using sprintf
- Clean text by removing white space and changing case
- Compare, find, and replace strings
- Convert strings to numbers
6. Performing Advanced Plotting and Statistical Analysis
- Plot data and function output
- Create other plot types
- Format plot elements
- Save and print plots
- Summarize data using statistical functions
- Solve systems of linear equations using matrix functions
