7/25/2019 MIT Data and Social Analytics Info Pack
2/3
Abou he courseThis online certicate course from the
Massachusetts Institute of Technology (MIT) will
cover both the existing fundamental theory and
practice of data analysis, as well as novel applications
relating to a new computational social science
(social physics) that has proven to be able to
deliver behavior change at scale.
LEAD INSTRUCTORS:Alex Sandy Pentland, David L.
Shrier and Yves-Alexandre de Motjoye
DURATION:8 weeks, part-time
DELIVERY MODE:Entirely online
Wha does his coursecover?This course will provide you with
comprehensive
understanding of the principles of statistics; obtain
hands-on experience in working with novel data sets;
and dive into the unique open-source toolkits that
MIT Connection Science has fostered. Along the way,
concepts around the ethics of data, personal privacy,
and current trends in the eld will also be explored.
On completion of this course, you will be able to:
1. Understand exactly what kind of data you are
dealing with in your role,
2. Conduct preliminary analysis and draw
hypotheses about that data, and
3. Design interventions using that analysis that are
intended to change behavior.
Massachusets Insiue of Technology | School of Archiecure +
Planning
Inside he courseMODULE 1:
Introduction to social physics,basics of statistics, data,
machine learning
MODULE 2: Sources of data: wearables,
communications streams,
nancial, honest signals, intro
to funf, privacy-protecting
methods
MODULE 3: First-order analysis: data
exploration, stats revisited;
introduction to Bandicoot
MODULE 4: Correlation vs causation,
second-order analysis, data
deserts, data mirages and the
data deluge
MODULE 5: Using funf, Bandicoot and
other tools
MODULE 6: Interventions, peer networks
and peer inuence, data ethics
MODULE 7: Applications in health, nance,
corporate innovation, cities,
identity, security and privacy
MODULE 8: Building to Living Labs, data
policy, data in context
7/25/2019 MIT Data and Social Analytics Info Pack
3/3
Who should ake his course?This course is designed for graduates
and working professionals in any role, across any
industry, who would like to gain hands-on capabilities in
working with big data & social
analytics, in the context of both foundations and latest
developments in data science
and analytics.
While a background in statistics will be benecial, it is not
required, as this is an
introductory course. Python programming experience is
recommended. Introductory
Python courses would be suitable, such as Code Academy*
Why sudy wih MIT and GeSmarer?MIT has partnered with online
education company, GetSmarter, to deliver this certicate
course online and part-time, taking the academic excellence and
innovative thinking that
is a hallmark of MIT, to a global scale.
THANK YOU FOR DOWNLOADING THE COURSE PROSPECTUS
MIT is currently conducting market research into the public
demand for skills
development in this subject area. You will be the rst to know
should this course go live.
Learn from expert instructors who
are leading research in the space
of Big Data Analytics
Gain a certicate from the
worlds leading University**,
online and part-time
Participate in a highly
collaborative, leading online
education experience
Massachusets Insiue of Technology | School of Archiecure +
Planning
**source: 2015 QS World University Ranking
*MIT does not explicitly endorse a specic course provider but
lists this only as an example.
https://www.codecademy.com/learn/pythonhttps://www.codecademy.com/learn/python
