This is a set of materials about a data scientist profession. These articles, books, and videos will allow you to better understand the domain and will help you to decide whether it’s worth or not to master this field. Also, we suppose that they will help you during your preparation for the admission interview at the master program.
- 10 Amazing TED Talks on Big Data and Analytics
- The era of blind faith in big data must end – Cathy O’Neil, TED2017
- FIELD GUIDE TO DATA SCIENCE by Booz-Allen-Hamilton
- A Hippocratic Oath for artificial intelligence practitioners (TechCrunch, 2018)
Requirements to data scientists
- Построение Data Science команды в аутсорсинговой компании (DOU, 2017)
- Data engineers vs. data scientists (O’Reilly, 2018)
- Citizen Data Scientists (Gartner, 2018)
- An Ode to the Type A Data Scientist: Breaking down the impact they provide and why the next generation doesn’t care (towardsdatascience.com, 2018)
- Core technologies and tools for AI, big data, and cloud computing (O’Reilly, 2019)
Working with clients
- Statistics is Dead – Long Live Data Science… (Data Science Central, 2016)
- Top mistakes data scientists make (cyborgus.com, 2017)
Skills
- Top 10 Skills in Data Science (Business Over Broadway, 2016)
- How to Develop the Five Soft Skills That Will Make You a Great Analyst (2018)
- Why There Will Be No Data Science Job Titles By 2029 (Forbes, 2019)
- Data Science and the Art of Persuasion (Harward Business Review, 2019)