SE-Radio Episode 315: Jeroen Janssens on Tools for Data Science

Felienne interviews Jeroen Janssens on Data Science. They examine what data science is exactly, particularly exploring how it differs from machine learning and statistics. The episode further considers what skills people need to be great data scientists – skills that are related but not always equal to the skills that programming and software engineering require. The interview also covers which programming languages are most prominently used in data science, and which are most suitable. The show closes with options that differ from programming, such as Jupyter Notebooks and analyzing data at the command line.

Related Links

• SE-Radio episode 286
• The OSEMN model for data science by Hilary Mason and Chris Wiggins
• Data Science from Scratch by Joel Grus
• Python for Data Analysis by Wes McKinney
• Python Machine Learning by Sebastian Raschka and Vahid Mirjalili
• The book R for Data Science
• Data Science Renee on Twitter
• Data Science Renee’s blog Becoming a Data Scientist
• Data Science at the Command Line by Jeroen Janssens (also has the mentioned Docker image)
• Jeroen on LinkedIn
• Data Science Workshops
• Janssens’ Twitter: https://twitter.com/jeroenhjanssens

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