Exploratory Data Analysis with MATLAB
About this Course
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. These skills are valuable for those who have domain knowledge and some exposure to computational tools, but no programming background is required. To be successful in this course, you should have some knowledge of basic statistics (e.g., histograms, averages, standard deviation, curve fitting, interpolation). By the end of this course, you will be able to load data into MATLAB, prepare it for analysis, visualize it, perform basic computations, and communicate your results to others. In your last assignment, you will combine these skills to assess damages following a severe weather event and communicate a polished recommendation based on your analysis of the data. You will be able to visualize the location of these events on a geographic map and create sliding controls allowing you to quickly visualize how a phenomenon changes over time.Created by: MathWorks

Related Online Courses
This Specialization is intended for individuals seeking to understand how the nervous system controls muscle forces that drive movement. Through three courses, you will learn how to distinguish the... more
Network Defense Essentials covers the fundamental concepts of information security and network defense. This introductory cybersecurity course is designed for today\'s entry-level information... more
The ability to shoot and edit video is rapidly becoming a sought after skill. Many businesses seek people who can bring more than just a single skill to the table, and video creation can be a key... more
This is a self-paced lab that takes place in the Google Cloud console. Learn how to channel Google Fit data via W3bstream to develop decentralized applications (dApps) that mint crypto assets based... more
Case Study - Predicting Housing Prices In our first case study, predicting house prices, you will create models that predict a continuous value (price) from input features (square footage, number... more