Exploratory Data Analysis with MATLAB (MathWorks)

In this free-to-audit course, you'll learn practical MATLAB abilities for data exploration that you can apply in your regular job. By the end, you'll have the MATLAB programming abilities you need to import, visualize, and do routine statistical analysis on your data, as well as share interactive documents with others. This course does not require any prior programming knowledge. However, you should be familiar with fundamental statistics (e.g., histograms, averages, standard deviation, curve fitting, interpolation). Students enrolled in the course will receive a complimentary MATLAB Online license for the duration of the course.

The course begins with an overview of data science. You'll learn how to approach data exploration and how to create questions that can be answered through data analysis, as well as how to use interactive documents known as Live Scripts to explore a prepared analysis and get insight from a real-world data collection. The second session will teach you how to represent data and import it into MATLAB. Getting a large amount of data into a form that can be analyzed is a prevalent problem in many applications. As a result, you'll use the tools required to swiftly import your files into MATLAB while also generating code that you can use to repeat the process in the future. Finally, in the fifth module, you'll tie everything together to convey your data's story. Today's data science is about much more than programming and statistic crunching. Live Scripts can help you bring your data analysis to life and allow you to apply the same thought process to other similar data sets.

This course lasts 5 weeks, with 4 hours of study per week. You'll mostly learn via viewing lecture videos, reading course articles, responding to discussion prompts, doing ungraded practice quizzes and MATLAB programming tasks, and participating in Coursera forums. You will have access to the weekly quizzes and graded programming exercises if you pay for the certificate. You'll also have a final peer-graded assignment in which you'll evaluate a collection of meteorological data for an insurance firm and discuss your insightful results with other students.

Fun Facts

• You’ll have access to MATLAB online and the MATLAB grader.
• The course has 3.1K bookmarks and 37 reviews on Class Central.
• It is #1 in Class Central’s MATLAB topic and is on Class Central’s Best Online Courses of all Time List
• This course is the first course of the Practical Data Science with MATLAB Specialization, with the next course being Data Processing and Feature Engineering with MATLAB.

Institution: MathWorks
Provider: Coursera
Instructors: Michael Reardon, Cris LaPierre, Erin Byrne, Adam Filion, Heather Gorr, Nikola Trica, Maria Gavilan-Alfonso, and Brandon Armstrong
Level: Beginner
Workload: 20 hours total
Enrollments: 33K
Google Rating: 4.8 / 5.0
Certificate: Paid

Enroll here: coursera.org/learn/exploratory-data-analysis-matlab