Learning MATLAB
MATLAB is a powerful programming language used by scientists and engineers to analyze data and create 2D and 3D visualizations. With MATLAB, users can gain the skills necessary to effectively analyze and interpret data. ▼
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Course Feature
Cost:
Free Trial
Provider:
LinkedIn Learning
Certificate:
No Information
Language:
English
Start Date:
Self Paced
Course Overview
❗The content presented here is sourced directly from LinkedIn Learning platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [March 06th, 2023]
1. Understanding the MATLAB Syntax: Learners can gain a comprehensive understanding of the MATLAB syntax, which is significantly different than other programming languages. This includes learning how to create basic variables and cell arrays, and how to debug their program.
2. Working with Matrices: Learners can learn how to work with matrices, which is a fundamental part of MATLAB programming. This includes learning how to create scripts and functions, and how to import data.
3. Creating Plots: Learners can learn how to create 2D and 3D plots, add annotations, and incorporate images. This will help them visualize their data and hypotheses in a more meaningful way.
4. Working with Simulink: Learners can learn how to use Simulink, the MATLAB block diagram tool. This will help them create more complex models and simulations.
5. Modeling Data and Hypotheses: Learners can learn how to harness the MATLAB tools and create programs to model their own data and hypotheses. This will help them gain a better understanding of their data and draw more accurate conclusions.
[Applications]
After completing this course, learners can apply their knowledge of MATLAB to create programs to model their own data and hypotheses. They can also use the core MATLAB syntax to create basic variables and cell arrays, scripts and functions, and work with matrices. Learners can also debug their program, import data, create 2D and 3D plots, add annotations, and incorporate images. Finally, they can use Simulink, the MATLAB block diagram tool, to create simulations.
[Career Paths]
1. Data Scientist: Data Scientists use MATLAB to analyze and interpret data, develop predictive models, and create visualizations. They are responsible for understanding the data, developing algorithms, and creating reports and presentations. With the increasing demand for data-driven decision making, the demand for Data Scientists is expected to grow significantly in the coming years.
2. Software Engineer: Software Engineers use MATLAB to develop software applications and systems. They are responsible for designing, coding, testing, and debugging software applications. With the increasing demand for software applications, the demand for Software Engineers is expected to grow significantly in the coming years.
3. Machine Learning Engineer: Machine Learning Engineers use MATLAB to develop machine learning algorithms and models. They are responsible for understanding the data, developing algorithms, and creating reports and presentations. With the increasing demand for machine learning applications, the demand for Machine Learning Engineers is expected to grow significantly in the coming years.
4. Robotics Engineer: Robotics Engineers use MATLAB to develop robotic systems and applications. They are responsible for designing, coding, testing, and debugging robotic systems. With the increasing demand for robotics applications, the demand for Robotics Engineers is expected to grow significantly in the coming years.
[Education Paths]
1. Bachelor of Science in Computer Science: This degree path provides students with a comprehensive understanding of computer science fundamentals, including programming, software engineering, and computer architecture. Students will learn how to design, develop, and maintain software systems, as well as how to use MATLAB to create programs and analyze data. This degree path is becoming increasingly popular as the demand for software engineers continues to grow.
2. Master of Science in Applied Mathematics: This degree path focuses on the application of mathematics to solve real-world problems. Students will learn how to use MATLAB to create models and simulations, as well as how to analyze data and develop algorithms. This degree path is becoming increasingly popular as the need for data scientists and analysts continues to grow.
3. Bachelor of Science in Electrical Engineering: This degree path provides students with a comprehensive understanding of electrical engineering fundamentals, including circuit design, signal processing, and embedded systems. Students will learn how to use MATLAB to design and simulate circuits, as well as how to analyze data and develop algorithms. This degree path is becoming increasingly popular as the demand for electrical engineers continues to grow.
4. Master of Science in Data Science: This degree path focuses on the application of data science to solve real-world problems. Students will learn how to use MATLAB to create models and simulations, as well as how to analyze data and develop algorithms. This degree path is becoming increasingly popular as the need for data scientists and analysts continues to grow.
Course Syllabus
Introduction
Welcome
What you need to know
Using the exercise files
Getting MATLAB
Course Provider
Provider LinkedIn Learning's Stats at AZClass
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