Talking Code

Jonathan Cornelissen tells us about DataCamp, the need for data scientists, and how to become one yourself. We also learn about some popular languages and libraries for analyzing data. Here's what to listen for: 00:43 What is the story behind DataCamp? 02:06 What is data science? 02:52 What kind of xdata is out there that can be analyzed? 04:46 Do I need a scientific or statistical background to work with data science? 05:26 Does DataCamp help establish a theoretical background? 06:21 Do only big companies need data science? 07:16 What is big data? 07:58 Can the term big data be used interchangeably with data science? 09:08 Do you need a “billion dollar budget” to build a data science team? What kind of people do I need to build that kind of team? 12:08 What is behind the shortage of data scientists? 12:48 What can a startup do to incorporate data science into their team? 13:45 What is meant by data savvy? 14:10 What do you do with the data once it’s collected? 14:50 What is cohort analysis? 15:42 Once users