Advice

Datacast Episode 16: Bayesian Probabilistic Programming with Peadar Coyle

Datacast Episode 16: Bayesian Probabilistic Programming with Peadar Coyle

Peadar Coyle is a Data Scientist and Engineer based in London. He regularly speaks at conferences and has written a book consisting of numerous interviews with Data Scientists throughout the world. He is also a passionate Open-Source evangelist, himself a supporter who has contributed to PyMC3. Most recently, he founded a stealth startup that is working on hyper-personalized audio.

Datacast Episode 15: Thoughts on Data Science from the perspective of a behavioral scientist with Nick Gaylord

Datacast Episode 15: Thoughts on Data Science from the perspective of a behavioral scientist with Nick Gaylord

Nick Gaylord has worked as a data scientist in the Bay Area for about the last 5 years. Currently, he’s a member of the Johnson & Johnson Health Technology team, and prior to that, he has worked in different fields ranging from small business revenue analytics to enterprise machine-learning-as-a-service platforms. Like many data scientists, he started out as an academic before transitioning to industry, in his case earning a Ph.D. in Psycholinguistics from the University of Texas at Austin in 2013.

Datacast Episode 14: Overcoming Impostor Syndrome with Conor Dewey

Datacast Episode 14: Overcoming Impostor Syndrome with Conor Dewey

Conor Dewey is a data scientist at Squarespace who spends his time thinking about growth and engagement. He frequently shares insights from his experience interviewing at top companies. More generally, he offers resources and advice on Medium and Github in the hopes of ‘open sourcing’ his journey to data science. Conor also manages a weekly data science newsletter with 1000+ subscribers.

Datacast Episode 13: Transition From Academia to Data Science with Martina Pugliese

Datacast Episode 13: Transition From Academia to Data Science with Martina Pugliese

Martina is a physicist and works as Data Science Lead at Mallzee, based in Edinburgh (Scotland). She loves looking at data regardless of the topic and area and believes the most enjoyable thing in Data Science is analyzing your data, finding the one you need for your question, and producing facts out of it. Throughout her education and job experience, she worked with data in epidemic dynamics, linguistics, and fashion. She also loves producing hand-crafted data visualizations and keeps studying and improving, whether it’s about Machine Learning or leadership topics.

Datacast Episode 12: Data Science in Consulting with Jim Leach

Datacast Episode 12: Data Science in Consulting with Jim Leach

Jim Leach is a data scientist, originally from the North of England, but now based in Atlanta, Georgia. After studying chemistry at university, Jim joined the consulting firm KPMG and began his career as a data analyst. He later returned to university, taking a sabbatical to study for a Master in Business Analytics at Imperial College, London. In his work, he is a passionate R user and developer and enjoys thinking about data visualization and how to communicate effectively using data. In his free time, he enjoys board games, music, cooking, and being outdoors.

Datacast Episode 7: Building Open-Source R Packages with Thomas Lin Pedersen

Datacast Episode 7: Building Open-Source R Packages with Thomas Lin Pedersen

Thomas is a bioinformatician, turned software engineer, who enjoys developing tools for data scientists. His main interests are in the tools that bring the scientist closer to their data, whether it be through intuitive and powerful APIs or through visualization. He describes himself as a creative spirit who enjoys photography as well as generative art and graphic design, and he tends to try and combine this with his interest in programming whenever possible. Thomas lives just north of Copenhagen with his wife and two kids.

Datacast Episode 6: Data Science in the Travel Industry with Ewan Nicolson

Datacast Episode 6: Data Science in the Travel Industry with Ewan Nicolson

Ewan Nicolson has been working professionally with numbers and computers for the past 13 years. During the past 6 years at Skyscanner, he has seen the data team grow from 2 analysts based in Edinburgh to a global team of 25+ data scientists making a global impact.

Datacast Episode 5: Applied Statistics in Data Science with Christopher Peters

Datacast Episode 5: Applied Statistics in Data Science with Christopher Peters

Christopher Peters is a full-stack data scientist at Zapier. He was both Zapier and Treehouse's first data scientist. Prior to his work as a data scientist, he was a research associate at LSU’s Center for Energy Studies where he was an energy economist. He has a real passion for working with, sharing, visualizing and analyzing data of all kinds using statistical, visual and machine learning techniques.

Datacast Episode 3: How to Be a Social Media Data Whiz with Leni Krsova

Datacast Episode 3: How to Be a Social Media Data Whiz with Leni Krsova

Leni Krsová is social media data analyst from the Czech Republic, currently based in Prague. At the beginning of her career, she worked for Czech TV, a public broadcaster in the country, as a social media editor but switched quickly from marketing to the path of a data analyst. Since then she is interested more and more in data analysis of social media and online news media data with R, data privacy and academic research in these fields. She is planning to start her Ph.D. studies in near future.

14 Golden Nuggets to Demystify Data Science for Aspiring Data Scientists

14 Golden Nuggets to Demystify Data Science for Aspiring Data Scientists

These talks cover a wide range of topics: from showcasing your work to connecting with data leaders, from telling a persuasive data story to debugging myths in data science. I took some detailed notes of all the talks and decided to use this post to share the main takeaways.