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Practical Data Science with MATLAB

MathWorks via Coursera 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? 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.


Course 1: Exploratory Data Analysis with MATLAB
- Offered by MathWorks. In this course, you will learn to think like a data scientist and ask questions of your data. You will use ... Enroll for free.

Course 2: Data Processing and Feature Engineering with MATLAB
- Offered by MathWorks. In this course, you will build on the skills learned in Exploratory Data Analysis with MATLAB to lay the foundation ... Enroll for free.

Course 3: Predictive Modeling and Machine Learning with MATLAB
- Offered by MathWorks. In this course, you will build on the skills learned in Exploratory Data Analysis with MATLAB and Data Processing and ... Enroll for free.

Course 4: Data Science Project: MATLAB for the Real World
- Offered by MathWorks. Like most subjects, practice makes perfect in Data Science. In the capstone project, you will apply the skills ... Enroll for free.


Taught by

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


4.8 rating, based on 31 Class Central reviews

Start your review of Practical Data Science with MATLAB

  • Anonymous
    An excellent specialization for those looking to develop a better understanding of MATLAB and how it applies to Data Science. The individual courses were very good but not without flaws. The learning curve was very steep and some of the instructional videos are fast paced (consider downloading them to watch when you have spare time). The FAQ's say no prerequisites are required but I would disagree. I've have a degree in Math and have taken the MATLAB Onramp and Fundamentals courses on MathWork's website. I have also taken courses in Statistics. As far as this specialization is concerned I recommend taking the free MATLAB Onramp course first and I also recommend having a good understanding of basic statistics.
  • Anonymous
    This specialization/course is beginner friendly for anyone who wants to know the basics of data sciences. Both mathematical and practical (programming) explanations are given in summary, and emphasis is given more on 'how to use/deploy' than 'how it works'.
  • Anonymous
    An excellent and must have specialization for all core engineering branch (mechanical, electrical, civil,etc.) students desirous of learning and applying machine learning and data science in their domain.

    Instructors were awesome. Concepts explained in a very clear and concise manner.
  • Anonymous
    I have recently completed Practical Data Science with MATLAB specialization offered by MathWorks through Coursera.

    I would like to thank MathWorks and Coursera for this well-prepared excellent experience. Looking forward to release of future courses.
  • Anonymous
    Just Gaussian Processes (GP) and Support Vector Machine (SVM) techniques were missing to learn for regression problems. Rest of specialization was amazing because gave me a lot of knowledges about Data Science. Everything was wonderful, thank you so much!
  • Anonymous
    Really enjoyed this specialization course and learned data science from scratch. Thank you Mathworks and Coursera. I would recommend this specialization to all pioneers in the field of Matlab, Data Science, and Machine learning.
  • Anonymous
    very helpful and useful training. Last course -Capstone project was really difficult however the most important. I highly recommend MATLAB for data analysis. Its much more user friendly compare to e.g. python.
  • Anonymous
    the course was really good easily understandable

    totally I am satisfied with the course

    now I am able to implement the concepts learned in Matlab

    thanks, MathWorks
  • Anonymous
    The course is strongly related to practical use of Matlab in data science. The capstone project is really challenging, but will create a lot of insights.
  • Anonymous
    Excellent, but very involved. Make sure you're up for a challenge. In which case do it.

    Some of the statistical concepts were a course in and if themselves
  • Anonymous
    I loved the course. The knowledge given was in depth and I learnt a lot. I am keen to try other similar courses too.
  • Anonymous
    The course gives an overview of all machine learning techniques and help you to organize how to tackle a problem depending on the characteristics of your data. The power of the machine learning apps in Matlab allow multiple testing of different techniques and evaluation of results. The course is well-organized and easy to follow. Although some help when you get stuck in the code would be a plus
  • Anonymous
    Lot and useful information is provided along the four courses. Great instructors and videos. All the code provided in the livescripts is a great help, not only for the course but for future work. Fourth course is the more challenging one, based mostly in practicing the learned tools previously.

    Matlab is great development environment, probably the best! It is my grownup Lego:)
  • Anonymous
    It is such a nice course, in the last one you can show your expertise learnt in the the subsequent course of this especiallization.

    It is really nice how to practically, data science, investigation, featuring and modelling could be teached clear
  • Anonymous
    Matlab Specialization courses really awesome and high-standard courses. I really appreciate the Mathworks and it's all the instructors and all who behind the scene of the whole specialization courses. Thanks Mathworks, thanks to all.
  • Anonymous
    Excellente specialization to learn to process data and visualization. I recomend this specialization to engineering and science students, becasue I cosider it is a efficient tool to apply in the courses and job tasks.
  • Anonymous
    You need to read the last section first to understand the goal of the project. If you do it step-by-step, be ready to spend more time - you will correct your solution several times only due to fuzzy instructions.
  • Anonymous
    Great course. I like the presentation skills applied and the quizes. The projects at the end of every course were challenging enough to help build competency. Best course I have taken on Coursera so far
  • Anonymous
    Love this course! It introduced me to the world of data science. Course is challenging at times but it's a good thing it drives you to explore the documentation. Videos and quizes are well made
  • Anonymous
    Really enjoyed the course, the project had the right difficulty to be challenging while not impossible, and I got the chance to apply the entire machine learning workflow.

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