DATA SCIENCE:

DATA TO INSIGHTS

 

Whether you’re a data scientist at a startup or a seasoned analyst at a large corporation, you understand the value of data insights. Over the course of six weeks, you will review a broad spectrum of data-centric topics including recommendation engines, regressions, network and graphical modeling, anomaly detection, hypothesis testing, machine learning, and big data analytics.

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SOLVE COMPLEX ISSUES WITH YOUR DATA

 

Launching February 21st, 2017

Experts say that 90% of all the data in the world was created in the past few years, so it’s not surprising that many companies are struggling to translate gigabytes of raw data into actionable insights. To help you with this herculean task, MIT Professional Education has partnered with the MIT Institute for Data, Systems, and Society (IDSS) to introduce a new digital course, Data Science: Data to Insights.

 

Through in-depth lectures from our MIT IDSS faculty members, made up of renowned faculty from across all of MIT, you’ll acquire the theories, strategies, and tools you need to answer a broad range of 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?

 

Upon successful completion of the course, you will earn a Certificate of Completion and CEUs from MIT Professional Education.

 

Drive your company’s success

With the strategies you gain at Data Science: Data to Insights, you’ll be well prepared to analyze data, increase organizational efficiency, and address your company’s most pressing data challenges.

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WHY MIT PROFESSIONAL EDUCATION

 

MIT Professional Education delivers timely, relevant programs to a global audience of scientists, engineers, technicians, managers, consultants, and others from industry, government, the military, non-profit, and academia. The MIT Professional Education mission is to provide a gateway to renowned MIT research, knowledge and expertise for those engaged in science and technology worldwide, through advanced education programs designed for working professionals. The programs are delivered by MIT faculty and promote technical excellence through ongoing educational engagement with communities of practice. Under the leadership of the School of Engineering, MIT Professional Education supports the development of creative leaders equipped to address complex problems.

For more information visit http://professional.mit.edu

What participants are saying about our programs

 

“The course takes you through the vastness of Big Data technologies, processes, algorithms and architectural approaches and provides you with the building blocks of a Big Data strategy for your project/company. The greatest professors of MIT join their forces in order to demystify what Big Data really is, from advanced GPU clusters to data cleaning processes. The course is bold, straight to the point, detailed, and lives up to the reputation of what is probably the greatest engineering university in the world.”

 

 

ABOUT IDSS

 

MIT Institute for Data, Systems, and Society (IDSS) is committed to addressing complex societal challenges by advancing education and research at the intersection of statistics, data science, information and decision systems, and social sciences. Spanning all five schools at MIT, IDSS embraces approaches and methods from disciplines including statistics, data science, information theory and inference, systems and control theory, optimization, economics, human and social behavior, and network science. These disciplines are relevant both for understanding complex systems, and for presenting design principles and architectures that allow for the systems’ quantification and management. IDSS seeks to integrate these areas—fostering new collaborations, introducing new paradigms and abstractions, and utilizing the power of data to address societal challenges. Read more about IDSS at idss.mit.edu.

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