Introduction to Data Analysis and Visualization with MATLAB


In this free seminar, you will learn how MATLAB can be used to visualize and analyze data, perform numerical computations, and develop algorithms. Through live demonstrations and examples, you will see how MATLAB can help you become more effective in your work. This session is targeted for those who are new to MATLAB. However, experienced MATLAB users may also benefit from the session, as the engineer will be covering tips and tricks from the newer releases of MATLAB.

Take the opportunity to discuss your concrete projects with our experts after the seminar. To book a meeting, please reach out to Oscar Fernandez.


  • Accessing data from software (e.g. Excel/databases) and hardware (e.g. sensors/cameras)
  • Using interactive tools for iterative exploration, design, and problem solving
  • Automating and capturing your work in easy-to-write scripts and programs
  • Interoperate with Open Source software (e.g. Python)
  • Sharing your results with others by automatically creating reports
  • Building and deploying GUI-based applications

Who Should Attend

  • Users who are new to MATLAB
  • Experienced MATLAB Users who would like to get an overview of new features

About the Presenter

Christoph Kammer is an Applications Engineer at MathWorks Switzerland. He specializes in time- and frequency-domain control, modelling, simulation and optimization. Prior to joining MathWorks in 2018, Christoph worked as an engineer for Richemont, Festo and Online Control Sàrl where he worked on industrial computing, automation and process development. Christoph holds a PhD from EPFL, where he specialized in control design and modeling of power systems and renewable generation.


Time Title
08:30 - 09:00  Registration and Welcome Coffee
09:00 - 09:10  Introduction to the MATLAB Environment
09:10 - 10:15 

Accessing and Preparing Data

  • Accessing data from software
  • Visualize and explore data
  • Curve fitting
  • Exporting results and report generation
  • App building 
10:15 - 10:45  Coffee Break
10:45 - 11:05

Advanced Data Analysis

  • Introduction to Machine Learning
  • Deep Learning with MATLAB
11:05 - 11:35

Hardware Connectivity

  • Acquire audio data and images from hardware
  • Signal processing
  • Image processing
11:35 - 11:50 Interoperate with Open Source Software
11:50 - 12:00 Concluding Remarks, Questions and Answers

Product Focus

Registration closed