MATLAB
Specialization | 5 Course Series | 3 Mock Tests
This MATLAB Programming Training includes 5 courses with 11+ hours of video tutorials and One year access and several mock tests for practice. You get to learn about the MATLAB computing environment, project-based application in data analysis, data modeling, visualization, and data programming.
Offer ends in:
What you'll get
- 11+ Hours
- 5 Courses
- Mock Tests
- Course Completion Certificates
- One year access
- Self-paced Courses
- Technical Support
- Mobile App Access
- Case Studies
- Download Curriculum
Synopsis
- Courses: You get access to all 5 courses, in the Projects bundle. You do not need to purchase each course separately.
- Hours: 11+ Video Hours
- Core Coverage: Learn about the MATLAB computing environment, project-based applications in data analysis, data modeling, visualization, and data programming
- Course Validity: One year access
- Eligibility: Anyone serious about learning Matlab and wants to make a career in the data and analytics field
- Pre-Requisites: Basic knowledge about data analytics would be preferable
- What do you get? Certificate of Completion for each of the 5 courses, Projects
- Certification Type: Course Completion Certificates
- Verifiable Certificates? Yes, you get verifiable certificates for each course with a unique link. These links can be included in your resume/LinkedIn profile to showcase your enhanced skills
- Type of Training: Video Course – Self-Paced Learning
Content
-
MODULE 1: MATLAB Essentials Training
Courses No. of Hours Certificates Details MATLAB - Beginners 3h 9m ✔ MATLAB - Intermediate 47m ✔ MATLAB - Advanced 4h 1m ✔ -
MODULE 2: Projects based Learning
Courses No. of Hours Certificates Details Project on MATLAB - Simulation of a Single-Phase Half Bridge and Full Bridge Inverter using MATLAB 34m ✔ Machine Learning with MATLAB 2h 15m ✔ -
MODULE 3: Mock Exams & Quizzes
Courses No. of Hours Certificates Details Test - MATLAB Assessment Exam Test - MATLAB Mock Exam Test - Assessment Exam MATLAB
Description
- MATLAB Programming is a numerical, high-level, and multi-paradigm computing environment. It was licensed under a proprietary license by MathWorks. It is commercial software. It was developed and is being maintained by MathWorks. It was purely written in C, C++, and Java programming languages. It supports multiple cross-platform operating systems such as Windows, Linux, and macOS. It is mainly used to simulate the devices or application's behavior using Mat lab tools. It was initially released in the year 1984. Matlab is mainly used for mathematical calculations, generating plots, and numerical and statistical methods. The different computational mathematics are such as Calculus, Data Analysis, Numerical Calculations, Differential Equations, Transforms, Integration, and Curve Fitting. Iterative exploration, custom plots. The different generic applications of Mat lab are Image and Video Processing, Signal Processing, Communications, Control Systems, Test & Measurement, Computational Finance, and Computational Biology.
- This MATLAB programming environment provides a good and faster computation environment for complex applications. Different data types can be used in Matlab programming. The different operators are arithmetic, relational, bitwise, logical, and set operators. The different loop control statements can also be used similarly to other programming languages.
Sample Certificate
Requirements
- Willingness to pursue a career as a Data Engineer Matlab Engineer or Embedded Engineer: The MATLAB training does not mandate or require any prerequisites and can be considered by any learner to master the basic or core concepts or knowledge of MATLAB Programming concepts such as the installation of Matlab, usage and its applications across various streams or areas such as Science, Mathematics, Economics, etc. Matlab Engineers require core conceptual knowledge in several topics such as Matlab variables, Graph Plots, Scripts, Matlab functions, debugging Matlab functions, and optimization concepts that are well explained in this course. The core and advanced concepts of MATLAB Programming are explained very clearly in the contents of this MATLAB course and its description. This course can also be opted for by learners who have basic knowledge of other programming or scripting languages Data analytics or any other computer programming-related technologies.
- Knowledge in Statistics or Analytics or Matlab related Tools: Any hands-on experience or previous knowledge in the areas of MATLAB-related concepts or tools Statistical Analysis or Economic analysis of data models or research-related analytics tools is also a beneficial and an added advantage in further learning the contents of the MATLAB Programming course. This course has several other benefits upon learning the intermediate and advanced level Matlab concepts such as graph plotting, complex custom plots, simulation analysis, the behavior of electronic devices, etc. There are also several other benefits to learning the contents and concepts of this MATLAB training certification
Target Audience
- Students of Embedded programming or Economics or Statistical background: All the learners who have a Bachelor’s in science or engineering economics or arts or any technical or embedded expertise areas can choose this course as it will be a very better option for mastering concepts of Matlab tools and its related applications. All the prospective learners who are very interested and keen on learning and acquiring knowledge on Matlab simulation or research-related applications or tools or technologies can choose this MATLAB Programming course. It is very beneficial and advantageous to master the latest embedded or statistical or economic analysis in the career of a Matlab professional with a benefit to all the learners’ profession. This MATLAB Training is well recommended to prospective learners who are very interested in learning the concepts of Matlab tools and its simulation techniques. This MATLAB Programming course has been designed to cover the basic, intermediate, and advanced topics for the benefit of beginners and experienced learners to secure job opportunities.
- Matlab Engineer or Research Analyst or Research Scientist: The learners of this MATLAB Programming course will be in a position to master the topics which all are related to MATLAB and industrial embedded applications from the range of intermediate to advanced techniques in the area of Matlab programming and its applications, different techniques and simulation of embedded or electronic devices, etc as a part of the contents of this MATLAB certification course that are of high importance in the area of MATLAB Programming. This course adds very good benefits to the prospective learners in their career roles such as Data Analyst, Matlab Engineer, Embedded Engineer, Data Analyst, Business Analyst, Statistician, Quality Engineer, Quality Manager, Consultant, Team Leader, Quality Analyst, Statistical Analyst, Software Test Engineer, QA Engineer, Test Analyst, Test Lead, Analytics Consultant, Analytics Manager, Solution Architect, Programmer Analyst, Technical Architect, Business Analyst, Research Associate, etc. This course can be chosen to hold the best career opportunities in the area of Matlab or Embedded or Electronics or communications processing areas.
- Bachelor / Master Degree in Science/Economics/Technical Background: Any interested learner with the background in Bachelor's or Master's Degree in the Science or Arts or Technological area can choose the Edu CBA – MATLAB Training to become an Embedded Engineer or Electronics Engineer Matlab Engineer or Data Analyst or Statistician in larger multinational companies.
Course Ratings
Offer ends in:
Training 5 or more people?
Get your team access to 5,000+ top courses, learning paths, mock tests anytime, anywhere.
Drop an email at: [email protected]
This course is good and it shows practical examples as well. However in the first part it shows examples with not appropriate enlarge, so the commands and the outputs are not properly visible. I suggest to include more practical examples related to MatLab. The second part's examples are clearly visible.
Attila Nagy