MATLAB Fundamentals, Data Science & Report Training Course

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Multisoft Systems is an authorized training partner of Microsoft, which offers the MATLAB Fundamentals, Data Science & Report course to the Developers, Teachers, Data scientists, Entrepreneurs, and Machine Learning Algorithm Programmers. We cover the fundamentals of MATLAB and its function as both a language and a platform in the first module, how to use MATLAB for data mining and machine learning and predictive analytics in the second module, and how to streamline their work by automating their data processing and report generation in the last module.

We, as a Microsoft certified training institute, are providing industry-recognized training courses for the working and non-working professionals. A team of 200 plus trainers is helping us in creating a carnival of success in the field of corporate training. We only provide updated course modules to the aspirants and follow industry set standards in delivering these courses.

Upon the completion of this course, the candidates will be able to:
  • In the end, the participants will be able to work with MATLAB's capabilities and employ them for resolving real-world data science problems. The certified professionals will also be able to use MATLAB's capabilities in streamlining their work through automation.
Target Audience:
  • Developers
  • Data scientists
  • Teachers
  • Machine Learning Algorithm Programmers
  • Entrepreneurs
Prerequisites
  • The participants are supposed to carry basic mathematical concepts such as probability theory, linear algebra, and statistics. They don’t need to bring the previous experience with MATLAB.

Module 1: Perform discovery, planning, and analysis

  • Working with the MATLAB user interface
  • Overview of MATLAB syntax
  • Entering commands
  • 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 branching and loops
  • Writing functions
  • Applying object-oriented programming principles to your programs

Module 2: Manage user experience design

  • Accessing data
  • Exploring data
  • Creating customized algorithms
  • Creating visualizations
  • Creating models
  • Publishing customized reports
  • Sharing analysis tools
  • Using the Statistics and Machine Learning Toolbox
  • Using the Neural Network Toolbox

Module 3: Report Generation

  • Creating reports interactively vs programmatically
  • Creating reports interactively using Report Explorer
  • Creating reports programmatically in MATLAB

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