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Brandon Armstrong, Maria Gavilan-Alfonso, Heather Gorr, Michael Reardon, Erin Byrne, Nikola Trica, Cris LaPierre, Adam Filion, Isaac Bruss, Brian Buechel, Matt Rich, Sam Jones, and Amanda Wang

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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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?

Completing this specialization will give you the skills and confidence you need to achieve practical results in Data Science quickly. 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 specialization 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.

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What's inside

Four courses

Exploratory Data Analysis with MATLAB

(0 hours)
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 compute statistics on groups of related data. You will also use interactive documents to capture the steps of your analysis and communicate the results.

Data Processing and Feature Engineering with MATLAB

In this course, you will learn how to merge data from different data sets, handle missing data, and explore special techniques for handling textual, audio, and image data. By the end of this course, you will be able to visualize your data, clean it up and arrange it for analysis, and identify the qualities necessary to answer your questions.

Predictive Modeling and Machine Learning with MATLAB

In this course, you will gain the skills to use MATLAB for data analysis. You will learn to prepare data, train predictive models, evaluate and improve models, and interpret results. By the end of this course, you will be able to use MATLAB to extract insights from data and make informed decisions.

Data Science Project: MATLAB for the Real World

Like most subjects, practice makes perfect in Data Science. In the capstone project, you will apply the skills learned across courses in the Practical Data Science with MATLAB specialization to explore, process, analyze, and model data. You will choose your own pathway to answer key questions with the provided data.

Learning objectives

  • Analyze large datasets & calculate statistics on specific groups in the data
  • Use interactive tools to investigate your data & remove noise and outliers
  • Create & evaluate machine learning models
  • Create reports & interactive documents to share your work

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