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Statistics and Data Science

Statistics and Data Science
Massachusetts Institute of Technology Online Course Highlights
  • 5 graduate-level courses
  • 630 – 882 hours of effort
  • Up-gradable
  • Self-Paced
  • Taught by: Regina Barzilay, Dimitri Bertsekas, Eren Can Kizildag, Esther Duflo, Sara Fisher Ellison, Qing He, Jan-Christian Hütter, Tommi Jaakkola, Patrick Jaillet, Jagdish Ramakrishnan, Katie Szeto, Kuang Xu, John Tsitsiklis, Philippe Rigollet, Jimmy Li
  • View Course Syllabus

Online Course Details:

Course 1 : 
  • Introduction to Probability – The Science of Uncertainty
Course 2 :
  • Data Analysis in Social Science—Assessing Your Knowledge
Course 3 :
  • Fundamentals of Statistics
Course 4 :
  • Machine Learning with Python: from Linear Models to Deep Learning

Course 5 :

  • Capstone Exam in Statistics and Data Science

Demand for professionals skilled in data, analytics, and machine learning is exploding. A recent report by IBM and Burning Glass states that there will be 364K new job openings in data-driven professions by 2020 in the US. Data scientists bring value to organizations across industries because they are able to solve complex challenges with data and drive important decision-making processes. 39% of the most rigorous data science positions require a degree higher than a bachelor’s.

This Micro-Masters program in Statistics and Data Science is comprised of four online courses and a virtually proctored exam that will provide you with the foundation knowledge essential to understanding the methods and tools used in data science, and hands-on training in data analysis and machine learning. You will dive into the fundamentals of probability and statistics, as well as learn, implement, and experiment with data analysis techniques and machine learning algorithms. This program will prepare you to become an informed and effective practitioner of data science who adds value to an organization. The credential can be applied, for admitted students, towards a PhD in Social and Engineering Systems (SES) through the MIT Institute for Data, Systems, and Society (IDSS) or may accelerate your path towards a Master’s degree at other universities around the world.

Anyone can enroll in this Micro-Masters program. It is designed for learners that want to acquire sophisticated and rigorous training in data science without leaving their day job but without compromising quality. There is no application process but college-level calculus and comfort with mathematical reasoning and Python programming are highly recommended if you want to excel. All the courses are taught by MIT faculty at a similar pace and level of rigor as an on-campus course at MIT. This program brings MIT’s rigorous, high-quality curricula and hands-on learning approach to learners around the world – at scale.

Job Outlook:

  • A recent report by IBM and Burning Glass states that there will be 364K new job openings in data-driven professions by 2020 in the US
  • Out of those jobs, the toughest to fill are the Data Scientist/Advanced Analytics positions
  • 39% of these positions require a degree higher than a bachelor’s
  • By completing this MicroMasters program you will be able to solve complex challenges with data and drive decision-making processes for organizations

What You Will Learn:

  • Master the foundations of data science, statistics, and machine learning
  • Analyze big data and make data-driven predictions through probabilistic modeling and statistical inference; identify and deploy appropriate modeling and methodologies in order to extract meaningful information for decision making
  • Develop and build machine learning algorithms to extract meaningful information from seemingly unstructured data; learn popular unsupervised learning methods, including clustering methodologies and supervised methods such as deep neural networks
  • Finishing this MicroMasters program will prepare you for job titles such as: Data Scientist, Data Analyst, Business Intelligence Analyst, Systems Analyst, Data Engineer

Take This Online Course