DATA TO INSIGHTS
Launching May 30, 2017
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 six-week digital course, Data Science: Data to Insights.
MAKE SMARTER BUSINESS DECISIONS
To help you uncover the true value of your data, MIT Professional Education has partnered with the MIT Institute for Data, Systems, and Society (IDSS) to present Data Science: Data to 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.
Through in-depth lectures from renowned faculty from across MIT, you’ll acquire the theories, strategies, and tools you need to answer a broad range of questions such as:
LEARN FROM DATA SCIENCE LEADERS
Have you ever wondered how top companies perfect their recommendation systems? Or how auto manufacturers developed their GPS technology? In Data Science: Data to Insights, you’ll examine real-world case studies and take part in several hands-on projects by:
Upon successful completion of the course, you will earn a Certificate of Completion and Continuing Education Units (CEUs) from MIT Professional Education.
Devavrat Shah, 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)
Philippe Rigollet, Co-Director
Associate Professor, Mathematics department and Statistics and Data Science Center (IDSS)
What participants are saying about Data Science: Data to Insights
“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.”
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 on their homepage.
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 our homepage.