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Dmitri Nesteruk
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/whnqdw/matlab
What's inside
Syllabus
Introducing MATLAB
User Interface
Data Types
Basic Syntax
Read more
Syllabus
Introducing MATLAB
User Interface
Data Types
Basic Syntax
Read more
Arrays and Matrices
Working with Scripts
Data Visualization
Object Oriented Programming
Good to know
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
Save this course
Save MATLAB Fundamentals to your list so you can find it easily later:
Save
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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
Show steps
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
Show steps
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
Show steps
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
Expand to see all activities and additional details
Show all seven activities
MATLAB Code Challenges
Show steps
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
Show steps
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
Show steps
Develop a MATLAB project that demonstrates proficiency in data visualization techniques, such as creating charts, graphs, and interactive plots.
Browse courses on
MATLAB
Show steps
-
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
Show steps
Contribute to open-source MATLAB projects or forums to gain practical experience and connect with the MATLAB community.
Browse courses on
MATLAB
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.
MATLAB Refresher
Show steps
Review the basics of MATLAB syntax and programming concepts to refresh your knowledge before starting the course.
Browse courses on
MATLAB
Show steps
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Expand to see all activities and additional details
Show all seven activities
MATLAB Code Challenges
Show steps
Engage in regular practice of MATLAB coding challenges to enhance problem-solving skills and reinforce concepts.
Browse courses on
MATLAB
Show steps
Show steps
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
Show steps
Create a detailed knowledge base that covers the MATLAB basics and advanced concepts covered in the course.
Show steps
Show steps
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
Show steps
Develop a MATLAB project that demonstrates proficiency in data visualization techniques, such as creating charts, graphs, and interactive plots.
Browse courses on
MATLAB
Show steps
Show steps
Show steps
- 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
Show steps
Contribute to open-source MATLAB projects or forums to gain practical experience and connect with the MATLAB community.
Browse courses on
MATLAB
Show steps
Show steps
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 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.
Data Scientist
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.
Quantitative Analyst
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.
Biostatistician
Biostatistician
Biostatisticians analyze biological and health data. MATLAB is commonly used by Biostatisticians and this course provides the essential skills for the role.
Actuary
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.
Operations Research Analyst
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.
Financial Modeler
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.
Data Analyst
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.
Software Developer
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.
Financial Analyst
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.
Data Engineer
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.
Computational Scientist
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.
Business Analyst
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.
Statistician
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.
Risk Manager
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.
For more career information including salaries, visit:
OpenCourser.com/course/whnqdw/matlab
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.
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.
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.
Save
Is tailored towards neuroscientists, providing a comprehensive guide to using MATLAB for data analysis, visualization, and modeling in neuroscience research.
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.
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.
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.
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.
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.
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.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/whnqdw/matlab
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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
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