Data Chats host Chris Richardson sits down with Ahmad Namini, a Business Analytics Professor at Brandeis University and data analytics instructor at The Data Incubator who has held leadership roles across the financial investment management industry. The two discuss key data roles and how to create a culture where data professionals can develop business knowledge and gain those "missing" skills that are crucial to success.
Join DS30 for our original discussion with Dr. Becky Tucker, senior machine learning scientist with Netflix, as she discusses how Netflix uses ML to predict what you may like to watch next and predict value.
Field Cady, Data Scientist at Allen Institute for Artificial Intelligence (AI2).
Some data scientists work for one employer on a single large, long-lived project. Others function as consultants who move quickly between different projects, datasets, and even industries. Each of these paths can make for a rewarding career (or first job) in data science, but they have their own pros and cons. This podcast will compare the skills they teach and require, the best ways to approach problems, and the realities of the day-to-day work.
On a national scale most of us have an understanding of the candidates that are running for office and even who we favor, but when the time has come to vote, many of us realize that there are many candidates for state positions we know nothing about. One DS30 alumni decided to change that.
In this episode of DS30, our host, data science instructor Ana Hocevar is joined by Matt Sternke, TDI alumni and data scientist, to discuss his groundbreaking Capstone project and how it could assist citizens in better understanding local politics and make more informed decisions when voting.