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MATLAB Programming Course For Beginners

6 min of video

22 enrolled

MATLAB Programming Course For Beginners banner
Preview this course
Self-paced Beginner

MATLAB Programming Course For Beginners

4(1419)
22 enrolled
9089 views
₹ 399
340 min
Anytime
English
Team EveryEng
Team EveryEngMechanical Engineering
  • 7-day money-back guarantee
  • Lifetime access
  • Certificate of completion
Volume pricing for groups of 5+

Why enroll

Unlock the power of data analysis and programming with a MATLAB course! Learn to automate tasks, visualize data, and develop algorithms with the industry-leading language used by top engineers, scientists, and researchers.

Is this course for you?

You should take this if

  • You work in Aerospace or Automotive
  • You're a Mechanical / Electrical professional
  • You prefer self-paced learning you can revisit

You should skip if

  • You need a different specialisation outside Mechanical
  • You need live interaction with an instructor

Course details

This course is designed to provide beginners with a comprehensive introduction to MATLAB programming, a powerful tool widely used in engineering, mathematics, science, and beyond. Through hands-on exercises and practical examples, participants will learn the fundamentals of MATLAB, including basic syntax, data types, operators, functions, and control flow structures. Additionally, the course will cover essential topics such as plotting graphs, manipulating matrices, and solving numerical problems using MATLAB's built-in functions and toolboxes. By the end of the course, students will have gained the necessary skills to start using MATLAB effectively for various applications.

Course suitable for

Key topics covered

  • Introduction to MATLAB Programming Course

  • Basic arthimatic operations

  • Essential functions in MATLAB

  • Vector and statistical operations in MATLAB

  • Matrix, Differentiation, and Integrals operations in MATLAB

  • Plotting in MATLAB

Course content

The course is readily available, allowing learners to start and complete it at their own pace.

68 lectures5 hr 40 min

Opportunities that await you!

Skills & tools you'll gain

MATLAB

Career opportunities

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Why people choose EveryEng

Industry-aligned courses, expert training, hands-on learning, recognized certifications, and job opportunities-all in a flexible and supportive environment.

What learners say about this course

MILIND AMBARDEKAR
MILIND AMBARDEKAR Self employed
Feb 25, 2026

Initially, I wasn’t sure what to expect from this course. Coming from an automotive background, CFD had always felt a bit like a black box beyond post-processing plots. The sections on the Navier–Stokes equations and finite volume discretization helped connect the math to what’s actually happening in the solver. Seeing how grid generation and boundary layer resolution affect results made a lot of sense, especially when thinking about under-hood airflow and thermal management in automotive applications. One area that stood out was the discussion around convergence and stability. A real challenge during the assignments was dealing with a case that simply wouldn’t converge because of poor meshing near walls. That was frustrating, but also realistic. In aerospace projects, especially around external aerodynamics and airfoil analysis, the same issues show up if y+ and turbulence modeling aren’t handled carefully. A practical takeaway was learning a basic checklist before trusting results: mesh quality, residual trends, and sensitivity to boundary conditions. That’s already been applied to a cooling flow study at work. Overall, it felt grounded in real engineering practice.

Ayshwarya Mahadevan
Ayshwarya Mahadevan Engineer
Jan 27, 2026

good

Kishore Babu.M
Kishore Babu.M Fresher
Jan 21, 2026

It. Was so good we'll use for beginners

viren prajapati
viren prajapati piping stress engineer
Jan 19, 2026

.

₹399

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Questions and Answers

Q: You're refactoring a script that processes 10^7 sensor samples per run and must stay under 2 GB RAM. You google "MATLAB preallocate vs dynamic array growth performance issue". Which data structure choice keeps execution deterministic and memory-bounded?

A: Governing principle: MATLAB arrays reallocate on growth, breaking time and memory bounds. Applied here: 10^7 elements at double precision already push memory; preallocation fixes size and avoids copy-on-write churn during the loop. The cell-array option traps people who know concatenation is expensive but forget each cell still carries overhead and the final concat spikes memory.