Data is getting created at a rapid pace. It is estimated that more than 2 quintillion bytes of data have been created each day in the last two years. As organizations experience an overflow of data, they are sparing no effort to extract meaningful insights to make smarter business decisions. In order to help you unravel the true worth of data, MIT Professional Education offers the Applied Data Science Program, which aims to prepare data-driven decision makers for the future. MIT Professional Education's Applied Data Science Program: Leveraging AI for Effective Decision-Making, with a curriculum developed and taught by MIT faculty, is delivered in collaboration with Great Learning. THIS program MAY BE TAKEN AS A STANDALONE PROGRAM OR AS PART OF THE PROFESSIONAL CERTIFICATE PROGRAM IN MACHINE LEARNING & ARTIFICIAL INTELLIGENCE. COMPLETING THE COURSE WILL CONTRIBUTE 5 DAYS TOWARDS THE CERTIFICATE.
Program Overview
In this 12-week program, you will be able to upgrade your data analytics skills by learning the theory and practical application of supervised and unsupervised learning, time-series analysis, neural networks, recommendation engines, regression, and computer vision, to name a few. Upon successful fulfillment of requirements, you will receive a certificate of completion from MIT Professional Education at the end of the program. Certificate of Completion from MIT Professional Education
Mentors of the Applied Data Science program come with years of experience from top organizations and help you understand best practices and deliver the actionable know-how you need to succeed in your new role. You will be able to quickly gauge the topics taught by MIT Faculty, and gain insights into how these topics are applied at an organizational level. You will also solve real business problems with guidance from your mentors and will be ready to hit the ground running as soon as you walk out of the program.
Mentoring sessions occur in small groups that are called micro classes. You will be grouped with learners with similar years of experience and backgrounds so that the mentors can determine the right pace of teaching, level of techniques, and relevant case studies, to use in order to maximize the benefit. When learning in groups, you can also garner how a practical skill like data science is applied to different industry-specific problems. In addition, you will work with the mentors every weekend to brush up on topics and revisit the concepts you covered earlier.
Data Science Pre-work
As an aspiring data science professional, Python and statistics play a valuable part in your toolkit. The pre-work lets you acquire foundational knowledge in these subjects and have a better understanding of concepts that are mandatory in data science, such as data handling, feature engineering, and predictive analysis. It helps you best understand the concepts during the live online sessions with MIT faculty. Quickly cope with the latest data science practices and implement them as you walk through the program.
Pre-work consists of 7.5 hours of video content along with practice quizzes.
Great Learning is a global EdTech company offering professional and higher education programs in blended, classroom, and online modes across technology, data and business domains.
The MIT Professional Education's Applied Data Science Program: Leveraging AI for Effective Decision-Making, with a curriculum developed and taught by MIT faculty, is delivered in collaboration with Great Learning.
Contact Great Learning for more information at adsp.mit@mygreatlearning.com or call +1 617 468 7899 / +91 9606 053 237.
