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Go from your first matrix to scripts, functions, plots and small simulations, with a mentor who explains each step at your pace.
Free, no-obligation chat · Affordable plans that fit your budget · Start this week
About this course
MATLAB is used across engineering, science, finance and research to analyse data, model systems and draw plots. Beginners often struggle with the same things: thinking in matrices instead of single numbers, element-wise versus matrix operators, indexing that starts at 1, and writing loops where a vectorised line would do.
This course follows the standard MATLAB curriculum used in university engineering and science courses and in the official MATLAB documentation: the desktop and command window, vectors and matrices, scripts, control flow, functions, plotting, data import, tables and basic numerical methods. Each module lists its topics and what you will be able to do at the end.
Learn with an affordable 1:1 online mentor who explains each idea with short examples and reviews your scripts with you. MentorNxt has free self-study lessons for Java and Python only, so MATLAB is taught through mentoring. Message us on WhatsApp or email, or fill in the short form, for a free, no-obligation chat. We will suggest a plan that fits your budget and flexible timings, and you can start this week.
Outcomes
Detailed syllabus
Every module lists its topics and what you will be able to do. Your mentor plans sessions around them and your own goals.
The desktop, the command window and your first calculations.
By the end of this module you can
Covered in 1:1 mentoring sessions
Creating, indexing and combining arrays, the heart of MATLAB.
By the end of this module you can
Covered in 1:1 mentoring sessions
Element-wise operators, matrix algebra and common mathematical functions.
By the end of this module you can
Covered in 1:1 mentoring sessions
Writing programs that make decisions and repeat work.
By the end of this module you can
Covered in 1:1 mentoring sessions
Splitting code into reusable functions with clear inputs and outputs.
By the end of this module you can
Covered in 1:1 mentoring sessions
Replacing loops with array expressions and measuring speed.
By the end of this module you can
Covered in 1:1 mentoring sessions
Turning numbers into clear 2-D and 3-D figures.
By the end of this module you can
Covered in 1:1 mentoring sessions
Working with text, categories, cell arrays, structures and tables.
By the end of this module you can
Covered in 1:1 mentoring sessions
Reading files, cleaning data and saving results.
By the end of this module you can
Covered in 1:1 mentoring sessions
Polynomials, interpolation, integration and solving equations numerically.
By the end of this module you can
Covered in 1:1 mentoring sessions
Simulating how a system changes over time.
By the end of this module you can
Covered in 1:1 mentoring sessions
Finding and preventing errors, and writing readable code.
By the end of this module you can
Covered in 1:1 mentoring sessions
Ways to learn
A mentor who knows this course plans sessions around your goal, explains each idea with fresh examples and checks your understanding. Personal attention, flexible timings in your time zone and affordable plans that fit your budget.
Talk to our teamHow it works
Four simple steps to start MATLAB Programming with a mentor. A real person replies to you; there is no booking system.
Message us on WhatsApp or email, or fill in the short form. The first chat is free, with no obligation.
We listen to your goal, level and deadlines, then suggest a plan that fits your budget and timings.
Online 1:1 sessions with a mentor who knows your course, explains clearly and checks your understanding.
Keep going between sessions with practice, and watch your confidence grow week by week.
Learn by doing
Import measurements from a CSV file, clean missing values, calculate summary statistics and plot the results with a fitted curve.
Model a thrown object with and without air drag using ode45 and plot the path for different launch angles.
Load an image, change brightness and contrast using matrix operations and show the before and after side by side.
Estimate pi and a simple probability by random simulation, and show how the answer improves as you run more trials.
Your progress
Milestones from the start, middle and end of the syllabus.
Run commands and inspect variables in the workspace
Early on
Create a clear, labelled figure from raw data
Halfway
Find the cause of a bug with the debugger
By the end
FAQs
Free, no-obligation chat
Tell us what you need. Our support team replies within one working day, by email or WhatsApp, whichever you prefer, and arranges your mentor.
Prefer to talk first?
Message the support team directly. We usually reply the same day.
Our mentors teach and explain. They never complete graded work, tests or assessments for students.
Keep going
Core Python from zero to functions, collections, files, OOP and algorithms.
pandas, data cleaning, groupby, charts and reporting in Python.
NumPy, pandas, statistics, EDA and first models with scikit-learn.
R, tidyverse, ggplot2, statistics, regression and R Markdown reports.
A language-agnostic first course: logic, loops, functions, data and debugging.
Last reviewed
Message us on WhatsApp or email, or fill in the short form. Our team replies with a plan that fits your goal and budget, and you can start this week.
Talk to us about a mentor