MATLAB Training Certified Course

Course Description:

This MATLAB Training Course is designed to provide a comprehensive introduction and hands-on experience in MATLAB, a high-level programming environment widely used in engineering, scientific research, data analysis, and simulations. The course begins with the basics of MATLAB programming, including matrix manipulation, control statements, and file operations, and advances to data visualization, Simulink modeling, and domain-specific applications like image processing, control systems, and signal analysis.

Key Features of Course Divine:

• Collaboration with E‑Cell IIT Tirupati
• 1:1 Online Mentorship Platform
• Credit-Based Certification
• Live Classes Led by Industry Experts
• Live, Real-World Projects
• 100% Placement Support
• Potential Interview Training
• Resume-Building Activities

Career Opportunities After MATLAB Certified Training:

• MATLAB Developer
• Control Systems Engineer
• Signal/Image Processing Engineer
• Data/Machine Learning Analyst
• Research Scientist / Algorithm Developer
• Embedded/ Engineer
• MATLAB Educator/Trainer

Essential Skills you will Develop MATLAB Certified Training:

• MATLAB Programming Fundamentals
• Data Analysis & Visualization
• Matrix and Linear Algebra Operations
• Simulation & Modeling
• Signal and Image Processing
• Machine Learning & Data Science Basics

Tools Covered:

• MATLAB IDE (Integrated Development Environment)
• Command Window
• Script Editor
• Workspace & Command History
• Simulink
• Block Diagrams
• System Modeling
• Simulation of Dynamic Systems
• MATLAB Toolboxes
• Signal Processing Toolbox
• Image Processing Toolbox
• Control System Toolbox

Syllabus:

Module 1: Introduction to MATLAB Environment

Overview of MATLAB and its applications MATLAB Interface: Command Window, Workspace, Editor, and Help Basic operations: Variables, data types, constants.

 Module 2: Arrays, Matrices, and Operations Creating and manipulating arrays and matrices Matrix arithmetic and operations Indexing, slicing, and reshaping Logical indexing and element-wise operations.

Module 3: Programming Constructs Control structures: if, else, switch, for, while, break Writing user-defined functions Scripts vs functions Error handling and debugging

Module 4: Data Import, Export, and File I/O Reading and writing data (CSV, Excel, .txt, .mat files) Data import tools and techniques Saving and loading workspace variables File and directory operations

Module 5: Data Visualization and Plotting 2D plotting: plot, bar, hist, scatter 3D plotting: mesh, surf, contour Subplots and figure customization Annotating graphs and exporting figures

Module 6: Data Analysis and Statistics Descriptive statistics: mean, median, sty, vary, etc. Linear regression and curve fitting Correlation and covariance Signal processing basics

Module 7: Simulink Basics Introduction to Simulink environment Building simple block diagrams Simulation parameters and settings Data visualization in Simulink

Module 8: Image and Signal Processing (Basics) Image reading, writing, and processing Filters, edge detection Signal generation and filtering FFT and spectral analysis

Module 9: Applications of MATLAB Control Systems: Transfer function, Bode plot

Communication systems Machine Learning (basic introduction using MATLAB) Real-time examples: robotics, finance, etc.

Module 10: Projects and Case Studies Mini projects on real-world problems MATLAB coding challenges Simulink modeling example Student presentations and report generation

Industry Projects:

• Mechanical Engineering
• Electrical & Electronics Engineering
• Civil Engineering
• Data Science

Who is this program for?

• Students and Fresh Graduates
• Working Professionals
• Data Scientists & Analysts

How To Apply:

Mobile: 9100348679

Email: coursedivine@gmail.com