Course Outline
Introduction
MATLAB for Data Science and Reporting
Part 01: MATLAB Fundamentals
Overview
- Using MATLAB for data analysis, visualization, modeling, and programming.
Navigating the MATLAB User Interface
MATLAB Syntax Overview
Entering Commands
- Utilizing the command line interface
Creating Variables
- Distinguishing between numeric and character data
Analyzing Vectors and Matrices
- Creation and manipulation
- Performing calculations
Visualizing Vector and Matrix Data
Working with Data Files
- Importing data from Excel spreadsheets
Working with Data Types
- Working with table data
Automating Commands with Scripts
- Creating and running scripts
- Organizing and publishing scripts
Writing Programs with Branching and Loops
- User interaction and flow control
Writing Functions
- Creating and calling functions
- Debugging using the MATLAB Editor
Applying Object-Oriented Programming Principles
Part 02: MATLAB for Data Science
Overview
- Applying MATLAB to data mining, machine learning, and predictive analytics
Data Access
- Retrieving data from files, spreadsheets, and databases
- Acquiring data from test equipment and hardware
- Obtaining data from software and the Web
Data Exploration
- Identifying trends, testing hypotheses, and estimating uncertainty
Creating Custom Algorithms
Creating Visualizations
Creating Models
Publishing Custom Reports
Sharing Analysis Tools
- As MATLAB code
- As standalone desktop or web applications
Using the Statistics and Machine Learning Toolbox
Using the Neural Network Toolbox
Part 03: Report Generation
Overview
- Presenting results from MATLAB programs, applications, and sample data
- Generating Microsoft Word, PowerPoint®, PDF, and HTML reports
- Utilizing templated reports
- Creating tailored reports
- Leveraging organizational templates and standards
Interactive vs. Programmatic Report Creation
- Using the Report Explorer
- Using the DOM (Document Object Model) API
Creating Reports Interactively via Report Explorer
- Report Explorer Examples
- Magic Squares Report Explorer Example
- Creating Reports
- Using Report Explorer to create setup files and define report structure and content
- Formatting Reports
- Specifying default styles and formats for Report Explorer reports
- Generating Reports
- Configuring Report Explorer for processing and execution
- Managing Report Conversion Templates
- Copying and managing Microsoft Word, PDF, and HTML conversion templates for Report Explorer
- Customizing Report Conversion Templates
- Customizing styles and formats for Microsoft Word and HTML conversion templates
- Customizing Components and Style Sheets
- Customizing report components and defining layout style sheets
Creating Reports Programmatically in MATLAB
- Template-Based Report Object (DOM) API Examples
- Functional report
- Object-oriented report
- Programmatic report formatting
- Creating Report Content
- Utilizing the Document Object Model (DOM) API
- Report Format Basics
- Specifying formats for report content
- Creating Form-Based Reports
- Filling in blanks in a report form using the DOM API
- Creating Object-Oriented Reports
- Deriving classes to simplify report creation and maintenance
- Creating and Formatting Report Objects
- Lists, tables, and images
- Creating DOM Reports from HTML
- Appending HTML strings or files to Microsoft® Word, PDF, or HTML reports generated via the DOM API
- Creating Report Templates
- Creating templates for use with programmatic reports
- Formatting Page Layouts
- Formatting pages in Microsoft Word and PDF reports
Summary and Closing Remarks
Requirements
- Familiarity with fundamental mathematical concepts, including linear algebra, probability theory, and statistics
- No prior MATLAB experience is required
Audience
- Software Developers
- Data Scientists
Testimonials (1)
Hands-on exercises related to content really helps to understand more about each topic. Also, style of start class with lecture and continue with hands-on exercise is good and helpful to relate with the lecture that presented earlier.
