In this #DataTalk, we talked with Marcelo Pimenta, Experian’s Head of DataLabs in Latin America, about ways to build a great data science team.

Marcelo Pimenta earned his Bachelor of Science degree in Physics from Universidade de São Paulo and his M.B.A. from Fundação Getulio Vargas.

In this #DataTalk, we talked about data modeling techniques with Dr. Brandeis Marshall, Chair of Computer and Information Sciences at Spelman College.

Dr. Brandeis Marshall earned her Bachelor of Science degree in Computer Science from the University of Rochester and her Master of Science degree and PhD in Computer Science from Rensselaer Polytechnic Institute. She previously served as a professor in Computer and Information Technology at Purdue University.

In this #DataTalk, we have a chance to talk with Matt Dancho about ways machine learning can help organizations with recruitment efforts.

Matt Dancho is the founder of Business Science, LLC and has successfully implemented cutting edge data science techniques in finance and marketing. He earned a Master’s of Business Administration Degree from Penn State and Master’s of Science Degree in Industrial Engineering from the University of Pittsburgh.

In this week's #DataTalk, we talked with Mico Yuk (CEO and co-founder of BI Brainz) about ways to create intelligent data visualizations. She is also the author of "Data Visualizations for Dummies."

This data science podcast series is part of Experian’s effort to help people understand how data-powered decisions can help organizations develop innovative solutions to drive more business.

In this week's #DataTalk, we talked with Matthew Dubins about the ways he is helping nonprofit organizations with data science.

This data science video series is part of Experian’s effort to help people understand how data-powered decisions can help organizations develop innovative solutions.

In this #DataTalk, we had a chance to talk with Seth Stephens-Davidowitz about his latest book: Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are.

In this week's #DataTalk, we talked with Randy Lao about the steps it takes to become a data scientist — and the importance of giving back to the data science community.

Randy Lao is a Machine Learning Teaching Assistant at the Data Application, Data Analytics Teaching Assistant at UCS’s Viterbi School of Engineering and Market Research Analyst at IDEAS (formerly Data Science Association).

In this week's #DataTalk, we talked with Dr. Victor Pankratius (MIT) about how he is using machine learning to find habitable planets.

Victor Pankratius leads the Data Science for Astro & Geoinformatics group at MIT. He is a computer scientist who is passionate about advancing data science through novel computational methods involving domain-aware artificial intelligence, scalable parallel computing, and software engineering for artificial intelligence systems.

In this #DataTalk, we talked about the challenges of launching and completing A.I. projects with Ben Taylor.

Ben Taylor earned his Bachelor of Science degree in Chemical Engineering from the University of Nevada and his Masters of Science and is on leave from his PhD program in Chemical Engineering from the University of Utah. He is the Chief Data Officer and Co-Founder of ZIFF, Inc. and previously served as the Chief Data Scientist at HireVue.

In this #DataTalk, we had a chance to talk with Dr. Debbie Berebichez about the ways to spot and avoid common statistics errors.

Dr. Berebichez is the Chief Data Scientist at Metis, physicist, and TV host for Discovery Channel’s Outrageous Acts of Science. She has a Ph.D. in physics from Stanford and completed two postdoctoral fellowships at Columbia University’s Applied Math and Physics Department and at NYU’s Courant Institute for Mathematical Sciences.