Earn a Certificate in Social Media Analysis from Boston University

Making Social Media Matter is a hands-on, 3-day workshop designed to equip attendees with the knowledge and skills to quickly analyze and visualize data from popular social media platforms like Twitter, Facebook, blogs, and YouTube.

The tools demonstrated in this workshop for network analysis, geolocation, and machine learning are at the forefront of social media research and will equip attendees — even those with no computational training — with expert understanding of how to collect, analyze, visualize, and interpret social media data for internal and public use.

In addition to covering the theoretical bases of working with and modeling big data such as Crimson Hexagon, the training in this workshop will include access to and use of leading data platforms, such as the Boston University Twitter Collection and Analysis Toolkit (BU-TCAT) and Gephi.

Media professionals, research analysts, scientists, college students, and anyone wanting to make sense of social media will benefit from attending this workshop. All participants that successfully complete this workshop will:

  • Earn a Certificate in Social Media Analysis: Principals and Practices for Big Data from Boston University.
  • Gain access to exclusive data analysis tools that can collect and analyze millions of units of social media content.
  • Go beyond dashboards and dive deep into data to take their analytic skills to another level of understanding.
Workshop Rates
  • Professionals: $1,225
  • BU faculty and staff: $885
  • Students (verified by valid student ID): $685

Workshop at a Glance

Dates and Times

May 31 – June 2, 2017
from 10 a.m. – 5 p.m.


Boston University College of Communication, 640 Commonwealth Avenue, Boston MA 02215 (map)

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Kim Relick

Host Your OwnInterested in a custom onsite workshop for your organization? Contact Us.

In Just Four Steps



Examine millions of users and their posts online, and manage those queries at scale.



Learn which algorithms to apply, and how they work, in order to best answer your specific analytic question.



Represent big data in easy-to-understand graphs using industry leading software that will inform others quickly.



Use social network analysis and machine learning to find influential users, understand information flows, and leverage your message.

And Only Three Days


Day One

Morning session 1: Opening keynote with Dr. Jacob Groshek, professor of Emerging Media Studies at Boston University.

Morning session 2: Install and run test queries on new software packages.

Afternoon session 1: Learn what network analysis is, the value of visualizing social media, and how algorithms can solve client or research problems.

Afternoon session 2: Learn to use the Boston University Twitter Collection and Analysis Toolkit (BU-TCAT), Gephi, HTML, Javascript, and web-based FTP clients.

Afternoon session 3: Form analysis teams, pick research topics and run practice queries with individualized supervision from our expert tutors.

Networking reception with drinks and appetizers at Taberna De Haro.
[Optional meet up]


Day Two

Morning session 1: Analysis teams report findings from Day 1, with critique and input for additional development from expert faculty and staff, followed by Q & A sessions for each team.

Morning session 2: Understanding what geolocation is, how to map users and connect their location with what they are saying.

Afternoon session 1: Learn to use sample queries to find users, place them into geographical locations, and extract sentiment.

Afternoon session 2: Teams develop geolocative analyses using BU-TCAT and Gephi on their chosen research topics. Expand work into more advanced selection and application of algorithms.


Day Three

Morning session 1: Analysis teams report findings from Day 2, with critique and input for additional development from expert faculty and staff, followed by Q & A sessions for each team.

Morning session 2: Guest lecture by Boston University doctoral candidate Brittany Andersen on the value of machine learning, and computational coding. Learn how to explore textual analyses of social media content at scale.

Afternoon session 1: Use sample queries to train the algorithms to read and categorize text in big data (no previous computational training required).

Afternoon session 2: Teams regroup to have machine learning programs “read” and categorize social media content on their chosen research topics.

Workshop wrap up and certificate presentation.

With Our Team of Experts

Led by Professor Jacob Groshek, the instructional team includes world renown experts that work at the intersection of the media industry and academia. You will have hands on one-to-one interactions with an award-winning group of scholar / practitioners that have decades of experience in designing systems and developing solutions that are applied to topics that include but are not limited to politics, health, science, sports, business, and — of course — media.

Check back for updates on your award winning team of instructors, guest lecturers, and coaches!

Chris Bingham


Chris is the founding CTO of Crimson Hexagon and brings leadership experience in software management, architecture, and development to the company. He has led the strategic design and development of enterprise-class technology products at a number of global software companies including Apple, Disney, and Netscape. Chris has also contributed to the success of several high-growth companies in the Boston technology eco-system, including Fairmarket, Coalesix, Icosystem and Jana. He is an expert in high-scalability software architecture and text analytics and is named on several U.S. patents. He holds a B.A. in computer science from Dartmouth College.

Dr. Waël Hassan


Dr. Waël Hassan is the CEO of KI Design, an innovative company that develops big data and analytics solutions for government, energy, finance, and healthcare companies. KI Design advances its clients’ interests on a range of issues including political analytics, social media marketing, internet freedom, cybersecurity, surveillance, disaster response, product certification, and risk metrics. Dr. Hassan founded KI DESIGN Magazine, where he writes a regular column. Waël’s highly anticipated book, Privacy in Design: A Practical Guide for Corporate Compliance will be released in 2017.

You Will Learn to Use


Crimson Hexagon is the global leader in consumer insights from social media data. Powered by patented technology and an in-house data library of nearly 1 trillion posts, Crimson Hexagon’s platform helps hundreds of brands and agencies answer critical business questions through the insights derived from social data. Find us on Twitter @crimsonhexagon


The BU-TCAT allows Boston University students and faculty–and even off campus researchers–to examine Tweets off the STREAM API (the so-called “gardenhose” access to Twitter) and then process the data for network analysis and visualization in Gephi.


Gephi is a tool for data analysts and scientists keen to explore and understand graphs. Like Photoshop™ but for graph data, the user interacts with the representation, manipulate the structures, shapes and colors to reveal hidden patterns.