MATLAB Fundamentals, Data Science & Report Generation

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 vs character data

Analyzing vectors and matrices

• Creating and manipulating
• 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 your scripts

Writing programs with branching and loops

• User interaction and flow control

Writing functions

• Creating and calling functions
• Debugging with 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

Overview

• Presenting results from MATLAB programs, applications, and sample data
• Generating Microsoft Word, PowerPoint®, PDF, and HTML reports.
• Templated reports
• Tailor-made reports
  • Using organization’s templates and standards

Creating reports interactively vs programmatically

• Using the Report Explorer
• Using the DOM (Document Object Model) API

Creating reports interactively using Report Explorer

• Report Explorer Examples
  • Magic Squares Report Explorer Example
• Creating reports
  • Using Report Explorer to create 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 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, define 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 HTML string or file to a Microsoft® Word, PDF, or HTML report generated by 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