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MATLAB Fundamentals

Dmitri Nesteruk

An entry-level course on MATLAB - the language of technical computing.

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An entry-level course on MATLAB - the language of technical computing.

This introductory course on MATLAB shows how to get started with using MATLAB as a language and platform. It covers the basics of MATLAB syntax, explains computational mechanisms including work with arrays and matrices, shows means of data visualization and demonstrates the use of object-oriented principles.

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What's inside

Syllabus

Introducing MATLAB
User Interface
Data Types
Basic Syntax
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Arrays and Matrices
Working with Scripts
Data Visualization
Object Oriented Programming

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Introduces MATLAB, a language commonly used in industry
Provides a solid foundation for beginners in MATLAB
Provides a strong foundation in MATLAB syntax and data structures
Teaches visualization techniques, which are valuable for data analysis
Dives into object-oriented programming, an important concept in software development
Covers basic MATLAB programming, making it suitable for beginners

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in MATLAB Fundamentals with these activities:
MATLAB Refresher
Review the basics of MATLAB syntax and programming concepts to refresh your knowledge before starting the course.
Browse courses on MATLAB
Show steps
  • Go through online tutorials or documentation to recap MATLAB basics.
  • Solve simple MATLAB exercises to practice basic operations.
  • Review the course syllabus and identify any prerequisites that need strengthening.
MATLAB Study Group
Join or form a study group with peers to discuss course concepts, work on assignments, and provide mutual support.
Browse courses on MATLAB
Show steps
  • Find or connect with other students enrolled in the course.
  • Establish regular meeting times and a communication platform.
  • Prepare for meetings by reviewing course materials and identifying discussion topics.
  • Actively participate in discussions, ask questions, and share insights.
MATLAB Advanced Topics
Seek out and follow tutorials to explore advanced MATLAB topics, such as object-oriented programming, data structures, and machine learning.
Browse courses on MATLAB
Show steps
  • Identify specific advanced topics that complement the course curriculum.
  • Find reputable online tutorials or courses that cover these topics.
  • Follow the tutorials, completing exercises and assignments.
  • Apply the knowledge gained from the tutorials to enhance understanding of course concepts.
Four other activities
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Show all seven activities
MATLAB Code Challenges
Engage in regular practice of MATLAB coding challenges to enhance problem-solving skills and reinforce concepts.
Browse courses on MATLAB
Show steps
  • Find online platforms or resources that provide MATLAB coding challenges.
  • Choose challenges that align with the topics covered in the course.
  • Attempt to solve the challenges independently, referring to course materials and documentation as needed.
  • Review and analyze solutions to identify areas for improvement.
MATLAB Knowledge Base
Create a detailed knowledge base that covers the MATLAB basics and advanced concepts covered in the course.
Show steps
  • Gather information from course materials, tutorials, and documentation.
  • Organize the information into a logical structure, such as by topic or concept.
  • Write clear and concise explanations, using examples and code snippets to illustrate concepts.
  • Proofread and edit the knowledge base for accuracy and clarity.
MATLAB Visualization Project
Develop a MATLAB project that demonstrates proficiency in data visualization techniques, such as creating charts, graphs, and interactive plots.
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  • Identify a dataset or problem that can be visualized effectively using MATLAB.
  • Design and implement a MATLAB program to load and clean the data.
  • Create various visualizations to represent the data and explore patterns or insights.
  • Present the project, including a write-up and a demo of the visualization.
MATLAB Community Contributions
Contribute to open-source MATLAB projects or forums to gain practical experience and connect with the MATLAB community.
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Show steps
  • Identify open-source MATLAB projects or forums related to course topics.
  • Review the project documentation and identify areas where you can contribute.
  • Make code contributions, report bugs, or participate in discussions.
  • Seek feedback and guidance from experienced MATLAB developers.

Career center

Learners who complete MATLAB Fundamentals will develop knowledge and skills that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineers use their knowledge of programming and data to develop machine learning models. MATLAB is a common tool in the Machine Learning field and taking this course can help you become a more effective Machine Learning Engineer.
See salaries and explore the career path for Machine Learning Engineer
Data Scientist
Data Scientists take raw data and make it useful to businesses. MATLAB is often used in Data Science to perform large-scale numerical operations and generate visualizations. This course can help anyone seeking to become a Data Scientist gain programming skills that can be directly applied to the role.
See salaries and explore the career path for Data Scientist
Quantitative Analyst
Quantitative Analysts use mathematical and statistical modeling to assess risks posed by financial assets. They often develop proprietary trading strategies, which is why a background in MATLAB, a go-to language for quantitative finance, can be so helpful.
See salaries and explore the career path for Quantitative Analyst
Biostatistician
Biostatisticians analyze biological and health data. MATLAB is commonly used by Biostatisticians and this course provides the essential skills for the role.
See salaries and explore the career path for Biostatistician
Actuary
Actuaries use mathematical and statistical skills to assess risk. MATLAB is a helpful tool in the actuarial field. This course can help prepare you for a career as an actuary.
See salaries and explore the career path for Actuary
Operations Research Analyst
Operations Research Analysts apply mathematical and analytical techniques to solve operational problems. MATLAB is a widely used tool for this role. Gaining proficiency in MATLAB through this course can prepare you for this career.
See salaries and explore the career path for Operations Research Analyst
Financial Modeler
Financial Modelers build models and forecasts to inform business decisions. MATLAB is a common tool in the role. This course can help you build a foundation in this widely-used tool.
See salaries and explore the career path for Financial Modeler
Data Analyst
A Data Analyst applies technical skills and an understanding of data structures to solve complex problems. They must be able to create and test models and algorithms, which is where this MATLAB course comes in. MATLAB is a go-to language for mathematical and computational modeling.
See salaries and explore the career path for Data Analyst
Software Developer
Software Developers create and maintain computer programs. MATLAB, a widely-used high-level language, is often a key part of building software programs and applications. This MATLAB course provides a solid foundation in using the language.
See salaries and explore the career path for Software Developer
Financial Analyst
Financial Analysts use mathematics to analyze financial data, which includes building models and simulations. This MATLAB course provides the necessary base to help become a more efficient Financial Analyst.
See salaries and explore the career path for Financial Analyst
Data Engineer
Data Engineers use programming to build and maintain data pipelines. MATLAB, a top programming language for numerical computing can be useful for this role. This course can help prepare you to become a Data Engineer.
See salaries and explore the career path for Data Engineer
Computational Scientist
Computational Scientists use mathematical and computational methods to analyze and solve complex problems. MATLAB is one of the most widely-used programming languages for this role. This course may be useful to prepare for a career as a Computational Scientist.
See salaries and explore the career path for Computational Scientist
Business Analyst
Business Analysts use data to make better business decisions. MATLAB is a helpful tool for understanding and analyzing data. This course may be useful to prepare for a career as a Business Analyst.
See salaries and explore the career path for Business Analyst
Statistician
Statisticians use mathematical and statistical techniques to collect, analyze, interpret, and present data. MATLAB is a helpful tool for visualizing and analyzing data. This course may be useful to prepare for a career as a Statistician.
See salaries and explore the career path for Statistician
Risk Manager
Risk Managers design, implement, and manage risk management programs. Proficiency in MATLAB is a useful tool for Risk Managers. This course may be useful to prepare for this career.
See salaries and explore the career path for Risk Manager

Reading list

We've selected nine books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in MATLAB Fundamentals.
Cover image
MATLAB Machine Learning Recipes
Save
Collection of practical recipes and solutions for common programming tasks in MATLAB. It's a valuable reference for learners who want to quickly find answers to specific problems they encounter while working with the language.
MATLAB Machine Learning Recipes
Paperback
Check
MATLAB Machine Learning Recipes
Kindle Edition
Check
Cover image
MATLAB
Save
Provides a comprehensive introduction to MATLAB, covering fundamental concepts like data types, arrays, and matrices. It offers practical examples and exercises to help learners develop their programming skills.
MATLAB: A Practical Introduction to Programming and...
Paperback
$$$
Cover image
Neural Data Science
Save
Is tailored towards neuroscientists, providing a comprehensive guide to using MATLAB for data analysis, visualization, and modeling in neuroscience research.
Neural Data Science
Paperback
Check
Neural Data Science
Kindle Edition
Check
Cover image
MATLAB Deep Learning
Save
Explores the application of MATLAB in deep learning, a rapidly growing field in artificial intelligence. It provides a solid foundation for learners interested in developing and implementing deep learning models.
MATLAB Deep Learning: With Machine Learning, Neural...
Kindle Edition
$$
MATLAB Deep Learning: With Machine Learning, Neural...
Paperback
$$
Cover image
MATLAB® Recipes for Earth Sciences
Save
Focuses on the application of MATLAB in earth sciences, providing practical examples and recipes for solving problems in areas like geophysics, geology, and environmental science. It's a useful resource for learners interested in these fields.
MATLAB® Recipes for Earth Sciences
Paperback
Check
MATLAB® Recipes for Earth Sciences
Kindle Edition
Check
Cover image
Essential MATLAB for Engineers and Scientists
Save
Covers the fundamentals of MATLAB, with a focus on engineering and scientific applications. It's a good choice for learners who want a concise overview of the language's capabilities.
Essential MATLAB for Engineers and Scientists
Paperback
$$$
Essential MATLAB for Engineers and Scientists
Hardcover
$$
Essential MATLAB for Engineers and Scientists
Paperback
$$
Essential MATLAB for Engineers and Scientists
Kindle Edition
$$
Essential MATLAB for Engineers and Scientists
Paperback
$$
Essential Matlab for Engineers and Scientists (Hahn...
Paperback
$$
MATLAB Programming for Engineers
Save
Provides a comprehensive overview of MATLAB, including topics such as data types, operators, control flow, functions, and data visualization. It good choice for beginners who want to learn the basics of MATLAB.
MATLAB Programming for Engineers
Paperback
Check
MATLAB Programming for Engineers
Kindle Edition
Check
Cover image
PREDICTIVE ANALYTICS with NEURAL NETWORKS Using...
Save
Provides a comprehensive overview of MATLAB for data analysis. It covers topics such as data import, data cleaning, data visualization, and statistical analysis. It good choice for those who want to learn how to use MATLAB for data analysis.
PREDICTIVE ANALYTICS with NEURAL NETWORKS Using...
Paperback
Check
PREDICTIVE ANALYTICS with NEURAL NETWORKS Using...
Kindle Edition
Check
Cover image
A Real-Time Approach to Process Control
Save
Provides an introduction to control systems using MATLAB. It covers topics such as feedback control, state-space control, and digital control. It good choice for those who want to learn how to use MATLAB for control systems.
A Real-Time Approach to Process Control
Paperback
$$$
A Real Time Approach to Process Controls
Paperback
$$
A Real-Time Approach to Process Control
Kindle Edition
$$$

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Course image
Time
169 hours
Level
Intermediate
Via
Pluralsight
Instructor
Dmitri Nesteruk
Language
English
Good to know
Introduces MATLAB, a language commonly used in industry
Provides a solid foundation for beginners in MATLAB
Provides a strong foundation in MATLAB syntax and data structures
Teaches visualization techniques, which are valuable for data analysis
Dives into object-oriented programming, an important concept in software development
Covers basic MATLAB programming, making it suitable for beginners
Share and help others discover this course.
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