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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 eight-week digital course.

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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 innovated ways.

Over the course of eight 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: Oct 23, 2017
Duration: 8 Weeks
Price: $849

Learn More Here

Download a FREE case study taken from this course! With this hands-on activity you’ll be able to build your own recommendation engine and get a sneak peek of the course.

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Watch & Learn

APPLY YOUR KNOWLEDGE WITH OVER 20 HANDS-ON CASE STUDIES.

Have you ever wondered how top companies perfect their recommendation systems? Or how auto manufacturers developed their GPS technology? In Data Science and Big Data Analytics: Making Data-Driven Decisions, you’ll examine real-world case studies and take part in several hands-on projects by:

  • Tracking the 2D and 3D position of objects with a Kalman filter.
  • Building your own movie, music, and product recommendation systems, just like Netflix or Pandora.
  • Automatically clustering news stories with a spectral technique algorithm.
  • Predicting wages with a linear regression model.
  • Exploring one or two layer perceptrons to assess their decision boundaries.
  • Using network-theoretic ideas to identify new candidate genes that might cause autism.

READY TO GET STARTED?

Download a free case study used in the course. This step-by-step tutorial provides insights on how to use data to build a recommendation engine like those that form the content systems used by Netflix, Pandora, and Spotify. The case study gives you access to resources and tools, including sample data basis so you can apply your knowledge today.

Advance your data science skills with a hands-on approach from Data Science and Big Data Analytics: Making Data-Driven Decisions.

Download Case Study

COURSE HIGHLIGHTS

Learn Online - MIT Data Science

Learn online - when and where you would like - as long as you complete each module by the assigned time.

Earn A Certificate - MIT Data Science

Earn a Data Science Certificate and CEUs from MIT.

Connect With Students - MIT Data Science

Robust collaborative environment to network and connect with students.

Learn From MIT Faculty - MIT Data Science

Learn from data science MIT Faculty members.

20 Case Studies - MIT Data Science

Apply your knowledge in data science by examining over 20 hands-on case studies and taking part in several projects.

Video Tutorials - MIT Data Science

Video tutorials and research-based content from a host of MIT professors.

MEET THE INSTRUCTORS

Co-Director

Director, Statistics and Data Science Center (IDSS), Professor, Laboratory for Information and Decision Systems (LIDS), Computer Science and Artificial Intelligence Laboratory (CSAIL) and Operations Research Center (ORC) at MIT

Co-Director

Associate Professor, Mathematics department and Statistics and Data Science Center (IDSS) at MIT

Professor

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

Assistant Professor

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

Assistant Professor

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

Assistant Professor

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

Professor

Professor, Sloan School of Management at MIT

Associate Professor

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

Principal Research Scientist

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

Assistant Professor

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

Assistant Professor

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

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