Data Science and Big Data Analytics:
Making Data-Driven Decisions

Every day, your organization generates new data on your customers, your processes, and your industry. But could you be using your data more effectively? Discover how to turn big data into even bigger results in our seven-week digital course from MIT.

Watch & Learn

MAKE DATA-DRIVEN BUSINESS DECISIONS:

90% of the world’s data has been created in just the past few years. Faced with overwhelming amounts of data, organizations are struggling to extract the powerful insights they need to make smarter business decisions. 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.

Through in-depth lectures from renowned faculty from across MIT, you’ll acquire the theories, strategies, and tools you need to answer questions such as:

  • What is clustering and when should I use it?
  • What is the best way to design experiments and conduct hypothesis testing using my data?
  • How should I do model selection and avoid over-fitting?
  • What are the latest trends in machine learning?
  • How do graphical models and network models differ?

LEARNING OUTCOMES:

  • Apply data science techniques to your organization’s data management challenges.
  • Identify and avoid common pitfalls in big data analytics.
  • Deploy machine learning algorithms to mine your data.
  • Interpret analytical models to make better business decisions.
  • Understand the challenges associated with scaling big data algorithms.
  • Convert datasets to models through predictive analytics.

COURSE DETAILS:

Start Date: February 4, 2019

End Date: March 25, 2019

Duration: 7 Weeks

Time Commitment: 4-5 hours per week

Learning Format: Online

Price: $849

ENROLL NOW

COURSE HIGHLIGHTS

Learn online - when & where you would like.

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

Connect with an international community of professionals.

Learn from leading MIT faculty, industry experts, and business leaders.

Enjoy a robust collaborative environment to network and connect with fellow learners.

Video tutorials & research-based content from a host of MIT professors & industry experts.

MEET THE INSTRUCTORS

Co-Director, Statistics and Data Science Center, Professor, Laboratory for Information and Decision Systems, Computer Science and Artificial Intelligence Laboratory and Operations Research Center at MIT

Co-Director, Associate Professor, Mathematics department and Statistics and Data Science Center at MIT

Professor, Department of Economics; Statistics and Data Science Center at MIT

Assistant Professor, Institute for Data, Systems, and Society, Electrical Engineering and Computer Science Department at MIT

Assistant Professor, Department of Mathematics and member of the Computer Science and Artificial Intelligence Lab at MIT

Assistant Professor, Institute for Data, Systems, and Society, Electrical Engineering and Computer Science Department at MIT

Professor, Sloan School of Management, IDSS, and the Operations Research Center

Associate Professor, Department of Mathematics and a member of the MIT Computer Science and Artificial Intelligence Laboratory at MIT

Principal research scientist at the Laboratory for Information and Decision Systems at MIT

Associate Professor, Institute for Data, Systems, and Society, Electrical Engineering and Computer Science Department at MIT

Assistant Professor, Electrical Engineering and Computer Science, LIDS and IDSS at MIT

CERTIFICATE

Get recognized! Learners who successfully complete the course will receive a Digital Certificate from MIT and Continuing Education Units (CEUs).

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