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MIT Data Science and Big Data Analytics

MIT Data Science and Big Data Analytics

Earn a Professional Certificate and 1.8 Continuing Education Units (CEUs) from MIT

6 Reviews
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Course Highlights

  • 28 Modules & Sub-modules

  • Earn a Certificate in Data Science from MIT xPRO on successful course completion

  • Self Paced Course over 7 Weeks with 4-5 hours per week

  • Every course module features a selection of case studies and hands-on projects

  • Loan facility available

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Mode of learning: Online self study

Course Overview

Who should do this course ?
  • Professionals at any career stage, looking to turn large volumes of data into actionable insights.

  • Past learners' job roles have included: business intelligence analysts, management consultants, technical managers, business managers, data science mangers.

  • Data science enthusiasts and IT professionals.

  • Participants may include: Technical managers, intelligence analysts, Management consultants IT practitioners, Business managers, Data science managers, Data science enthusiasts

What are the course deliverables ?
  • To help uncover the true value of your data, MIT Institute for Data, Systems, and Society (IDSS) created the online course Data Science and Big Data Analytics: Making Data-Driven Decisions for data scientist professionals looking to harness data in new and innovative ways

  • Over the course of seven weeks, you will take your data analytics skills to the next level as you learn the theory and practice behind recommendation engines, regressions, network and graphical modeling, anomaly detection, hypothesis testing, machine learning, and big data analytics.

  • Every course module features a selection of case studies and hands-on projects that help you apply your newfound knowledge to realistic business challenges.

  • Learn to Apply data science techniques to your organization's data management challenges

  • You will be able to determine the difference between graphical models and network models.

  • After this course, you will be able to convert datasets to models through predictive analytics, Deploy machine learning algorithms to improve business decision making and master best practices for experiment design and hypothesis testing.

  • Post this couse, you will be able to identify and avoid common pitfalls in big data analytics.

  • Instructivism: Teacher-centered learning where the instructors present relevant content (tutorial videos enhanced with animation and graphics). Students will test their knowledge through graded tests.

  • Constructivism: Learning by doing approach. We encourage learners to construct their own understanding through solving the mandatory and optional case studies and practicing.

  • Social Constructivism: Learning through social interactions and communication. You will be able to discuss with your peers in the discussion groups, and evaluate and get reviews from your peers through two compulsory case studies.

  • Connectivism: Connecting with others and extending your knowledge through communication. You will be able to expand and share your knowledge with others through the Discussion group, and course groups on Facebook, and LinkedIn.

More about this course
  • MIT xPRO’s online learning programs leverage vetted content from world-renowned experts to make learning accessible anytime, anywhere. With the use of cutting-edge research in the neuroscience of learning, MIT xPRO programs are application-focused, helping professionals build their skills on the job.

  • Every day, your organization generates new data on your customers, your processes, and your industry. But could you be using this data more effectively? Discover how to turn big data into even bigger results in this seven-week online course and earn an MIT Certificate on Data Science as well as 1.8 Continuing Education Units (CEUs) upon completion.

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    Reviews

    Average Rating

    4

    Based on 6 Ratings

    Anonymous Learner

    Practical Learning

    Armed with the knowledge I have gained from his course, I can introduce my team to certain methods that can be applied to our day to day work

    Miguel Hurtado

    Top-notch study material

    The quality and pace of the videos and material is top-notch. I really like having different instructors for different modules and having two instructors interacting together makes the material more vivid and entertaining.

    Joanna Zarach

    Acquired new skills

    It’s very critical to keep acquiring new knowledge in today, ever changing landscape of both world order and opportunities available to professionals

    Prasad Sankpal

    Great Learning

    The course content was really amazing and gave me exact direction to head towards the Big Data topic.

    Reza Dawood

    Clarifies the concepts well

    I really enjoyed the interactions/animations in the videos. These really helped with visualizing the concepts… I feel more equipped to understand what type of insights can be gleaned from a particular set of data, and can better communicate these asks to our data science team.

    Ryan Michael Dickinson

    Adds value to knowledge

    Leveraging this knowledge will allow me to position myself as a hybrid analyst-data scientist, which greatly increases my value to the company.
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