Practical Data Science with MATLAB

Overview

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?  

Being able to visualize, analyze, and model data are some of the most in-demand career skills from fields ranging from healthcare, to the auto industry, to tech startups.

This Practical Data Science with MATLAB Specialization offered by Coursera in partnership with MathWorks assumes you have domain expertise in a technical field and some exposure to computational tools, such as spreadsheets.   To be successful in completing the courses, you should have some background in basic statistics (histograms, averages, standard deviation, curve fitting, interpolation).

Throughout this specialization, you will be using MATLAB.  MATLAB is the go-to choice for millions of people working in engineering and science, and provides the capabilities you need to accomplish your data science tasks.  You will be provided with free access to MATLAB for the duration of the specialization to complete your work.

Applied Learning Project

You'll apply your new skills on several real-world examples including: analyzing costs associated with severe weather events, predicting flight delays, and building machine learning models.  The final capstone project will provide you the opportunity to apply concepts from all the courses to gain insight from raw data and to build predictive models.