Northwest Building B101, 52 Oxford Street, Cambridge, MA 02138
Come to our Frontiers in Data Science Keynote featured by Jeff Orkin and hear about Big Data, Small Data, Conversational Data, and Society. Below you will find a bio of our keynote speaker. Please RSVP here if you are planning to join us.
Cannon Room, Building C. Harvard Medical School. 240 Longwood Ave
Interested in a career in big data, life science and biotechnology? Come and join us for the big data in life science career panel. Here you will meet and hear from our panelists about their unique experience in the intersection of data analytics and life sciences!
Interested in working with a group of world class designers, businesspeople and technologists to explore emerging technologies like blockchains, AI, the internet of things, or AR/VR, and understand how they’ll affect the way we live, work, and play?
The IDEO CoLab is holding a makeathon—an action packed, high-energy dive into the IDEO design-thinking process—to select a class of fellows for a nine week paid summer fellowship.
Join us for a visit to the CfA and learn about the work of a data scientist in Astrophysics! Dr. Henry "Trae" Winter will guide us on a tour through the Solar Operations Center of the Harvard Smithsonian Center for Astrophysics and will talk to us about his work with software design and optimization of computer simulations for big data streams in the field of solar physics. Space is limited. Please RSVP!
Pear is an early stage venture capital fund with expertise in helping early stage companies succeed. Current portfolio includes: Doordash, Gusto, Branch Metrics, etc.
Pear’s Launchpad is a structured full-time program designed to help you successfully launch your company. Over the course of 10 weeks this summer, you will lay the foundations of a sustainable, category-defining company - between putting together a product roadmap, figuring out your go-to-market strategy, identifying early customers, developing organizational structures & processes that’ll scale, and more
Data Scientists at Facebook perform large scale data analysis, identify actionable insight, suggest recommendations and influence the direction of the business. At different stage of each Facebook product, data scientists are driving the success of product development, user engagement, growth as well as revenue. We’ll give detailed examples of how to leverage statistics, machine learning and large scale data analysis skills to drive product success and what the day-to-day work looks like for data scientists at Facebook. We’ll also talk about the potential career opportunities at Facebook
Python is a powerful high-level, object-oriented programming language. It has simple easy-to-use syntax, making it the perfect language for someone trying to learn computer programming for the first time. In this workshop, we will cover basic syntax and data structures in Python. You don’t need to have any prior programming experience. Please bring your laptop and have Jupyter notebook installed (http://jupyter.org/). If you are interested in attending, please RSVP
Bruce Schneier is an internationally renowned security technologist, called a "security guru" by The Economist. He is the author of many books—including Data and Goliath: The Hidden Battles to Collect Your Data and Control Your World. Schneier is a fellow at the Berkman Klein Center for Internet & Society at Harvard University, a Lecturer in Public Policy at the Harvard Kennedy School, a board member of the Electronic Frontier Foundation, an Advisory Board Member