Data Digest: More Efficient Data Science, Data Science Don'ts, and Big vs. Smart Data
The primary skills you need in data science, plus 10 traits of a good data scientist, and separating big data from smart data.
- By Quint Turner
- April 20, 2016
Becoming a data scientist requires a large array of skills, but determining which
skills are the most important may depend on who you ask. This article summarizes
multiple sources to attempt to determine the primary skills needed in the data
science field.
Read more at www.dataversity.net
The popularity of data science has prompted lots of people to get jobs as data scientists.
Because the role is often poorly defined, prospective employers of data scientists
may run into trouble. This article explains 10 traits a good data scientist should
never have.
Read more at Kdnuggets
Although big data receives a lot of attention right now, you can classify data in
more ways than simply big versus small. The author of this article makes a different
divide: big data and smart data. He explains how they are different and how to
stay focused on overall data strategy.
Read more at Techrepublic
About the Author
Quint Turner is an editorial intern at TDWI and an undergraduate English student at Skidmore College. Follow his blog at pungry.com.