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MATLAB & Python Basics for Mechanical Technicians
Xcel Learning

Assessment Included • Free Certificate • 24/7 Support • No Hidden Fees

Summary

Price
£19.99 inc VAT
Study method
Online, On Demand 
Duration
1 hour · Self-paced
Qualification
No formal qualification
Certificates
  • Reed Courses Certificate of Completion - Free
Assessment details
  • Review Questions and Assessments (included in price)
Additional info
  • Tutor is available to students

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Overview

MATLAB & Python Basics for Mechanical Technicians is designed to equip mechanical technicians with essential programming skills required in modern engineering environments. The course focuses on practical application rather than theoretical computer science, enabling learners to use programming as a tool for calculations, data analysis, visualization, and basic automation. Participants will learn how to perform engineering calculations efficiently, analyze experimental and operational data, create meaningful plots, and automate repetitive tasks commonly encountered in workshops, laboratories, and industrial settings. By working with MATLAB and Python, technicians gain exposure to two widely used programming platforms that support numerical computing and engineering problem-solving. The course emphasizes real mechanical scenarios, logical thinking, and professional best practices, helping learners improve accuracy, productivity, and decision-making. Upon completion, participants will be able to confidently apply MATLAB and Python to support mechanical engineering tasks and adapt to data-driven, technology-focused workplaces.

Certificates

Assessment details

Review Questions and Assessments

Included in course price

Curriculum

13
sections
13
lectures
1h 1m
total

Description

Exciting Journey Ahead: Discover What Awaits in This Course!

Chapter 1: Introduction to Programming for Mechanical Technicians

  1. What is Programming and Why It Matters in Mechanical Engineering
  2. Overview of MATLAB and Python
  3. Installing and Setting Up MATLAB and Python
  4. Understanding the Programming Workflow
  5. Basic Engineering Applications of Programming

Chapter 2: Programming Environment and Interface

  1. MATLAB Interface and Command Window
  2. Python IDEs (IDLE, VS Code, Jupyter Notebook)
  3. Running Scripts and Programs
  4. Understanding Errors and Warnings
  5. Good Programming Practices

Chapter 3: Variables and Data Types

  1. Variables and Naming Rules
  2. Numeric Data Types
  3. Strings and Text Data
  4. Logical and Boolean Values
  5. Type Conversion and Checking

Chapter 4: Basic Mathematical Operations

  1. Arithmetic Operations
  2. Built-in Mathematical Functions
  3. Order of Operations
  4. Engineering Calculations
  5. Unit Consistency and Conversions

Chapter 5: Vectors, Arrays, and Matrices

  1. Creating Vectors and Arrays
  2. Matrix Operations
  3. Indexing and Slicing
  4. Common Matrix Functions
  5. Applications in Mechanical Calculations

Chapter 6: Input and Output Operations

  1. User Input Methods
  2. Displaying Results
  3. Formatting Output
  4. Reading Data from Files
  5. Writing Data to Files

Chapter 7: Control Structures

  1. Conditional Statements (if, else)
  2. Comparison and Logical Operators
  3. For Loops
  4. While Loops
  5. Practical Control Structure Examples

Chapter 8: Functions and Scripts

  1. What Are Functions
  2. Creating and Using Functions
  3. Function Inputs and Outputs
  4. Script Files vs Functions
  5. Reusable Code for Mechanical Tasks

Chapter 9: Data Visualization and Plotting

  1. Basic Plotting Concepts
  2. 2D Plots and Graphs
  3. Labels, Legends, and Titles
  4. Multiple Plots and Subplots
  5. Visualizing Mechanical Data

Chapter 10: Basic Data Analysis

  1. Importing Experimental Data
  2. Data Cleaning and Preprocessing
  3. Statistical Analysis Basics
  4. Curve Fitting and Trend Lines
  5. Interpreting Results for Mechanical Systems

Chapter 11: Automation and Engineering Applications

  1. Automating Repetitive Calculations
  2. Simple Simulation Concepts
  3. Parameter Studies
  4. Basic Numerical Methods
  5. Case Studies in Mechanical Engineering

Chapter 12: Practical Projects and Best Practices

  1. Mini Project Using MATLAB
  2. Mini Project Using Python
  3. Debugging and Troubleshooting Techniques
  4. Code Documentation and Comments
  5. Next Steps for Advanced Learning

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Who is this course for?

This course is designed for mechanical technicians, diploma holders, and entry-level engineers who want to build foundational skills in MATLAB and Python. It is ideal for professionals involved in maintenance, design, or production who wish to enhance data analysis, automation, and problem-solving capabilities using programming tools relevant to modern mechanical applications.

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