Course Outline
Introduction
MATLAB for Data Science and Reporting
Part 01: MATLAB Fundamentals
Overview
- MATLAB for data analysis, visualization, modeling, and programming.
Working with the MATLAB User Interface
Overview of MATLAB Syntax
Entering Commands
- Using the command line interface
Creating Variables
- Numeric versus character data
Analyzing Vectors and Matrices
- Creating and manipulating vectors and matrices
- Performing calculations on vectors and matrices
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 your scripts
Writing Programs with Branching and Loops
- User interaction and flow control
Writing Functions
- Creating and calling functions
- Debugging with the MATLAB Editor
Applying Object-Oriented Programming Principles to Your Programs
Part 02: MATLAB for Data Science
Overview
- MATLAB for data mining, machine learning, and predictive analytics
Accessing Data
- Obtaining data from files, spreadsheets, and databases
- Obtaining data from test equipment and hardware
- Obtaining data from software and the Web
Exploring Data
- Identifying trends, testing hypotheses, and estimating uncertainty
Creating Customized Algorithms
Creating Visualizations
Creating Models
Publishing Customized 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 for Government
Overview
- Presenting results from MATLAB programs, applications, and sample data
- Generating Microsoft Word, PowerPoint®, PDF, and HTML reports.
- Templated reports
- Tailor-made reports
- Using the organization’s templates and standards
Creating Reports Interactively versus Programmatically
- Using the Report Explorer
- Using the Document Object Model (DOM) API
Creating Reports Interactively Using Report Explorer
- Report Explorer Examples
- Magic Squares Report Explorer Example
- Creating reports
- Using Report Explorer to create a report setup file, define report structure and content
- Formatting reports
- Specifying default report style and format for Report Explorer reports
- Generating reports
- Configuring Report Explorer for processing and running a report
- Managing report conversion templates
- Copying and managing Microsoft Word, PDF, and HTML conversion templates for Report Explorer reports
- Customizing Report Conversion Templates
- Customizing the style and format of Microsoft Word and HTML conversion templates for Report Explorer reports
- Customizing Components and Style Sheets
- Customizing report components, 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
- Using the Document Object Model (DOM) API
- Report format basics
- Specifying format for report content
- Creating form-based reports
- Using the DOM API to fill in the blanks in a report form
- 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 an HTML string or file to a Microsoft® Word, PDF, or HTML report generated by the Document Object Model (DOM) API
- Creating report templates
- Creating templates to use with programmatic reports
- Formatting page layouts
- Formatting pages in Microsoft Word and PDF reports
Summary and Closing Remarks for Government
Requirements
- Understanding of fundamental mathematical principles, including linear algebra, probability theory, and statistics
- No prior experience with MATLAB is required
Audience for Government
- Developers
- Data scientists
Testimonials (5)
Younes is a great trainer. Always willing to assist, and very patient. I will give him 5 stars. Also, the QLIK sense training was excellent, due to an excellent trainer.
Dietmar Glanninger - BMW
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It is great to have the course custom made to the key areas that I have highlighted in the pre-course questionnaire. This really helps to address the questions that I have with the subject matter and to align with my learning goals.
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It is showing many methods with pre prepared scripts- very nicely prepared materials & easy to traceback