Data Chats Podcast

Filling Skill Gaps Crucial to Success in Data Roles

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.

What Makes a TDI Fellow

Join Sierra King, director of admissions for TDI and Robert Schroll, data scientist and instructor with TDI, as they discuss in depth some amazing tips and tricks for creation of the perfect capstone project and how and what it means to be part of the TDI fellowship. 

Beyond Recommendations: Content Data Science @ Netflix

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. 

To Stay or Consult

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. 

How Machine Learning is Solving the Grid Challenge

We see more and more electric vehicles every day, but the question remains, how will this influx of electrical demand affect our current power grids?

In this episode of DS30, our host, data science instructor Ana Hocevar is joined by Rohith Desikan, a software/data engineer at Weave Grid, to discuss the intersection of machine learning and sustainability, specifically how Rohith's work contributes toward addressing how to prepare electrical grids for the incoming growth in the EV sector.

 

Navigating Your Career Transition out of Academia into Industry

Join Christine Plitt, ‎Vice President of Operations & Educational Services, and TDI alumni, Newton Le and Andrew Graczyk as they discuss how one can navigate their career transition out of academia and into industry for data science.

 

Operational Stability: Data Pipelines

In this episode of DS30, our host, data science instructor Ana Hocevar are joined by Zach Glassman, to discuss his interesting journey from atomic physicist to data scientist, as well as data pipelines and how to create useful data from the outputs.  Listen now!

Effectively Launch a Data Science Career

Join Christine Plitt, VP of operations and educational services for TDI, as she discusses key steps to getting your dream position in the current data science market.

Learn more about our fellowship program here!

Unique Perspectives: Alumni AMA

We’ve got a special treat for this episode of the DS30 podcast. Have you ever wanted to know more about our fellowship program, or wondered how some of our recent alumni are faring in the job market today?

Our director of fellowships and partnerships, Erika Underwood, is joined by some of our amazing alumni for an AMA about their experiences with the TDI fellowship program, challenges they faced when becoming a data scientist and how it has impacted their careers, as well as sharing some advice for those just starting their journey.

Data Science and Renewable Energy

Renewable energy is an important topic at the moment, and will continue to be well into the future, but how does something like ML assist in these initiatives?

In this episode of DS30, our hosts, data science instructors Michael Cullen and Ana Hocevar are joined by our own Don Fox, data scientist and instructor for Pragmatic Institute, to discuss his entrance into data science and his extensive experience in renewable energy and geothermal energy systems.