MATLAB Training Courses

MATLAB Training

MATLAB Statistical Software courses

MATLAB Course Outlines

ID Name Duration Overview
464009 Introduction to Machine Learning with MATLAB 21 hours MATLAB Basics MATLAB More Advanced Features BP Neural Network RBF, GRNN and PNN Neural Networks SOM Neural Networks Support Vector Machine, SVM Extreme Learning Machine, ELM Decision Trees and Random Forests Genetic Algorithm, GA Particle Swarm Optimization, PSO Ant Colony Algorithm, ACA Simulated Annealing, SA Dimenationality Reduction and Feature Selection
463964 MATLAB Fundamentals 21 hours This three-day course provides a comprehensive introduction to the MATLAB technical computing environment. The course is intended for beginning users and those looking for a review. No prior programming experience or knowledge of MATLAB is assumed. Themes of data analysis, visualization, modeling, and programming are explored throughout the course. Topics include: Working with the MATLAB user interface Entering commands and creating variables Analyzing vectors and matrices Visualizing vector and matrix data Working with data files Working with data types Automating commands with scripts Writing programs with logic and flow control Writing functions Part 1 A Brief Introduction to MATLAB Objectives: Offer an overview of what MATLAB is, what it consists of, and what it can do for you An Example: C vs. MATLAB MATLAB Product Overview MATLAB Application Fields What MATLAB can do for you? The Course Outline Working with the MATLAB User Interface Objective: Get an introduction to the main features of the MATLAB integrated design environment and its user interfaces. Get an overview of course themes. MATALB Interface Reading data from file Saving and loading variables Plotting data Customizing plots Calculating statistics and best-fit line Exporting graphics for use in other applications Va​riables and Expressions Objective: Enter MATLAB commands, with an emphasis on creating and accessing data in variables. Entering commands Creating variables Getting help Accessing and modifying values in variables Creating character variables Analysis and Visualization with Vectors Objective: Perform mathematical and statistical calculations with vectors, and create basic visualizations. See how MATLAB syntax enables calculations on whole data sets with a single command. Calculations with vectors Plotting vectors Basic plot options Annotating plots Analysis and Visualization with Matrices Objective: Use matrices as mathematical objects or as collections of (vector) data. Understand the appropriate use of MATLAB syntax to distinguish between these applications. Size and dimensionality Calculations with matrices Statistics with matrix data Plotting multiple columns Reshaping and linear indexing Multidimensional arrays Part 2 Automating Commands with Scripts Objective: Collect MATLAB commands into scripts for ease of reproduction and experimentation. As the complexity of your tasks increases, entering long sequences of commands in the Command Window becomes impractical. A Modelling Example The Command History Creating script files Running scripts Comments and Code Cells Publishing scripts Working with Data Files Objective: Bring data into MATLAB from formatted files. Because imported data can be of a wide variety of types and formats, emphasis is given to working with cell arrays and date formats. Importing data Mixed data types Cell arrays Conversions amongst numerals, strings, and cells Exporting data Multiple Vector Plots Objective: Make more complex vector plots, such as multiple plots, and use color and string manipulation techniques to produce eye-catching visual representations of data. Graphics structure Multiple figures, axes, and plots Plotting equations Using color Customizing plots Logic and Flow Control Objective: Use logical operations, variables, and indexing techniques to create flexible code that can make decisions and adapt to different situations. Explore other programming constructs for repeating sections of code, and constructs that allow interaction with the user. Logical operations and variables Logical indexing Programming constructs Flow control Loops Matrix and Image Visualization Objective: Visualize images and matrix data in two or three dimensions. Explore the difference in displaying images and visualizing matrix data using images. Scattered Interpolation using vector and matrix data 3-D matrix visualization 2-D matrix visualization Indexed images and colormaps True color images Part 3 Data Analysis Objective: Perform typical data analysis tasks in MATLAB, including developing and fitting theoretical models to real-life data. This leads naturally to one of the most powerful features of MATLAB: solving linear systems of equations with a single command. Dealing with missing data Correlation Smoothing Spectral analysis and FFTs Solving linear systems of equations Writing Functions Objective: Increase automation by encapsulating modular tasks as user-defined functions. Understand how MATLAB resolves references to files and variables. Why functions? Creating functions Adding comments Calling subfunctions Workspaces  Subfunctions Path and precedence Data Types Objective: Explore data types, focusing on the syntax for creating variables and accessing array elements, and discuss methods for converting among data types. Data types differ in the kind of data they may contain and the way the data is organized. MATLAB data types Integers Structures Converting types File I/O Objective: Explore the low-level data import and export functions in MATLAB that allow precise control over text and binary file I/O. These functions include textscan, which provides precise control of reading text files. Opening and closing files Reading and writing text files Reading and writing binary files Note that the actual delivered might be subject to minor discrepancies from the outline above without prior notification. Conclusion Note that the actual delivered might be subject to minor discrepancies from the outline above without prior notification. Objectives: Summarise what we have learnt A summary of the course Other upcoming courses on MATLAB Note that the course might be subject to few minor discrepancies when being delivered without prior notifications.
111892 MATLAB Programming 14 hours This two-day course provides a comprehensive introduction to the MATLAB® technical computing environment. The course is intended for beginner users and those looking for a review. No prior programming experience or knowledge of MATLAB is assumed. Themes of data analysis, visualization, modeling, and programming are explored throughout the course. Working with the MATLAB user interface Entering commands and creating variables Analyzing vectors and matrices Working with data types Automating commands with scripts Writing programs with logic and flow control Writing functions Visualizing vector and matrix data Working with data files Importing data Organizing data Visualizing data

Course Discounts

Course Venue Course Date Course Price [Remote/Classroom]
Creating and managing Web sites Wrocław, ul.Ludwika Rydygiera 2a/22 Mon, 2016-06-27 09:00 3410PLN / 2555PLN
Programming in C Gdynia Mon, 2016-06-27 09:00 1590PLN / 1143PLN
Distributed Messaging with Apache Kafka Katowice Mon, 2016-06-27 09:30 4998PLN / 3288PLN
Social Media - facebook, twitter, blog, youtube, google+ Poznan, Garbary Tue, 2016-06-28 09:00 1070PLN / 873PLN
Design Patterns in C# Wrocław, ul.Ludwika Rydygiera 2a/22 Wed, 2016-06-29 09:00 1865PLN / 1392PLN
Visual Basic for Applications (VBA) for Analysts Poznan, Garbary Mon, 2016-07-04 09:00 1912PLN / 1278PLN
Debian Administration Poznan, Garbary Mon, 2016-07-04 09:00 3157PLN / 2083PLN
Agile Project Management with Scrum Szczecin Wed, 2016-07-06 09:00 1746PLN / 1361PLN
A Practical Guide to Successful Pricing Strategies Poznan, Garbary Wed, 2016-07-06 09:00 1427PLN / 1093PLN
SQL language in MSSQL Poznan, Garbary Thu, 2016-07-07 09:00 1568PLN / 1142PLN
Excel and VBA Programming for Audit and Finance Professionals Warszawa, ul. Złota 3/11 Mon, 2016-07-11 09:00 1913PLN / 1441PLN
Forecasting with R Poznan, Garbary Thu, 2016-07-14 09:00 2188PLN / 1527PLN
Introduction to Selenium Wrocław, ul.Ludwika Rydygiera 2a/22 Thu, 2016-07-14 09:00 768PLN / 539PLN
Machine Learning Fundamentals with R Warszawa, ul. Złota 3/11 Mon, 2016-07-18 09:00 2523PLN / 1828PLN
Building Web Apps using the MEAN stack Szczecin Mon, 2016-07-18 09:00 5538PLN / 3351PLN
Administracja bazą danych Microsoft SQL Server 2012 Toruń, ul. Żeglarska 10/14 Mon, 2016-07-18 09:00 2509PLN / 1653PLN
ITIL®: Intermediate Lifecycle Stream: Service Strategy (SS) Kraków Tue, 2016-07-19 09:00 4338PLN / 3116PLN
Microsoft Access - download the data Poznan, Garbary Wed, 2016-07-20 09:00 1117PLN / 856PLN
Debian Administration Olsztyn, ul. Kajki 3/1 Mon, 2016-07-25 09:00 3157PLN / 2167PLN
Python Programming Warszawa, ul. Złota 3/11 Mon, 2016-08-01 09:00 5790PLN / 3753PLN
Data Analysis with Oracle 11g - workshop Warszawa, ul. Złota 3/11 Mon, 2016-08-01 09:00 4350PLN / 3012PLN
Web Application Development in PHP Warszawa, ul. Złota 3/11 Wed, 2016-08-03 09:00 2688PLN / 2022PLN
Zapewnienie jakości oprogramowania – przegląd metodyk Warszawa, ul. Złota 3/11 Tue, 2016-08-09 09:00 2735PLN / 1863PLN
Oracle 11g - Programming with PL / SQL II Wrocław, ul.Ludwika Rydygiera 2a/22 Wed, 2016-08-10 09:00 2363PLN / 1785PLN
Stress management Warszawa, ul. Złota 3/11 Thu, 2016-08-18 09:00 2112PLN / 1212PLN
Programming in WPF 4.5 Warszawa, ul. Złota 3/11 Mon, 2016-09-05 09:00 2359PLN / 1355PLN
BPMN 2.0 for Business Analysts Wrocław, ul.Ludwika Rydygiera 2a/22 Tue, 2016-09-27 09:00 3110PLN / 2337PLN
Visual Basic for Applications (VBA) in Excel - Advanced Białystok, ul. Malmeda 1 Mon, 2016-11-14 09:00 1689PLN / 1413PLN

Upcoming Courses

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