Exploratory Data Analysis with MATLAB
Master MATLAB for data analysis: Import, visualize, and analyze datasets using interactive tools and automated code generation.
Master MATLAB for data analysis: Import, visualize, and analyze datasets using interactive tools and automated code generation.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Practical Data Science with MATLAB Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.8
(802 ratings)
40,587 already enrolled
Instructors:
English
پښتو, বাংলা, اردو, 3 more
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What you'll learn
Import and customize large tabular datasets
Extract data subsets and compute group statistics
Create customized visualizations for data analysis
Use interactive tools for data exploration
Generate automated code for reproducible results
Skills you'll gain
This course includes:
2.5 Hours PreRecorded video
10 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 5 modules in this course
In this comprehensive course, students learn to perform exploratory data analysis using MATLAB. The curriculum covers importing large datasets, customizing import options, extracting data subsets, computing group statistics, and creating interactive visualizations. Through hands-on projects and interactive tools, learners develop practical skills in data manipulation, analysis, and visualization while learning to generate automated code for reproducible results.
Introduction to the Data Science Workflow
Module 1 · 2 Hours to complete
Importing Data
Module 2 · 3 Hours to complete
Visualizing and Filtering Data
Module 3 · 1 Hours to complete
Performing Calculations
Module 4 · 6 Hours to complete
Documenting Your Work
Module 5 · 2 Hours to complete
Fee Structure
Instructors
Principal Online Course Developer at MathWorks
Nikola Trica holds a Dipl.-Ing. degree in Computer and Systems Engineering from Technische Universität Ilmenau, specializing in Systems Engineering and Intelligent Control. She has been with MathWorks since 2006, initially delivering training on MATLAB, Simulink, and Control Design to customers in Europe. Since 2014, she has transitioned to developing online content for global audiences.
Manager Online Courses
Brandon Armstrong is a Principal Online Content Developer at MathWorks. He earned a Ph.D. in physics from the University of California at Santa Barbara in 2010.
Testimonials
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4.8 course rating
802 ratings
Frequently asked questions
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