In this course, you will learn to think like a data scientist and ask questions of your data. You will use interactive features in MATLAB to extract subsets of data and to compute statistics on groups of related data. You will learn to use MATLAB to automatically generate code so you can learn syntax as you explore. You will also use interactive documents, called live scripts, to capture the steps of your analysis, communicate the results, and provide interactive controls allowing others to experiment by selecting groups of data.
This course is part of the Practical Data Science with MATLAB Specialization
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Course 1 of 4 in the
Beginner Level
Approx. 19 hours to complete
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Subtitles: Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Vietnamese, German, Russian, English, Spanish
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- Data Analysis
- Data Visualization (DataViz)
- Matlab
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 1 of 4 in the
Beginner Level
Approx. 19 hours to complete
English
Subtitles: Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Vietnamese, German, Russian, English, Spanish
Could your company benefit from training employees on in-demand skills?
Try Coursera for Business
Offered by
MathWorks
Accelerating the pace of discovery, innovation, development, and learning in engineering and science.
Syllabus - What you will learn from this course
3 hours to complete
Introduction to the Data Science Workflow
In this module you’ll learn about the key steps in a data science workflow and begin exploring a data set using a script provided for you. As you work with the file, take note of the different elements in the script. As you progress through the course, you’ll create a similar script yourself.
3 hours to complete
11 videos (Total 39 min), 4 readings, 2 quizzes
3 hours to complete
Importing Data
In this module you’ll import data into MATLAB, customize the import options, and generate code to automate the process. You’ll also work with different types of data, such as numeric, dates, and text.
3 hours to complete
8 videos (Total 20 min), 1 reading, 2 quizzes
2 hours to complete
Visualizing and Filtering Data
In this module you’ll create visualizations and learn how to customize figures. You’ll also filter your data to select only what is needed for your analysis. You’ll create new tables and save them to use in the future or share with others outside of MATLAB.
2 hours to complete
5 videos (Total 15 min)
7 hours to complete
Performing Calculations
In this module you’ll write small pieces of code to extend your analysis. You’ll calculate summary statistics on groups of data and determine if variables are correlated. You’ll extend your ability to filter data to defining conditions across multiple variables. You’ll also modify categorical data to remove, combine, or create new categories to use for defining groups.
7 hours to complete
11 videos (Total 41 min), 4 readings, 11 quizzes
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TOP REVIEWS FROM EXPLORATORY DATA ANALYSIS WITH MATLAB
by MIAug 2, 2020
Amazing Course !!!!!! Lot of practical skill is gained here !!! Thanks MathWorks !!
The instructors were great! I wish one day I will join MathWorks and teach in this platform with them!!!
by MSMar 23, 2021
I thoroughly enjoyed the course. I recommend it to everyone. It not only enhanced my MATLAB skills but also gave me new insights in Data Science and Analysis.
by VSJul 14, 2020
The content of this course is just enough for proper understanding of the concepts and teaching methodology followed by the instructors is amazing and perfect.
by MGSep 15, 2020
Great to the point content. Team Mathworks has really put in great amount of efforts in this and it shows at the quality of the content provided to us. Highly recommended.
About the Practical Data Science with MATLAB Specialization
Do you find yourself in an industry or field that increasingly uses data to answer questions? Are you working with an overwhelming amount of data and need to make sense of it? Do you want to avoid becoming a full-time software developer or statistician to do meaningful tasks with your data?
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