Developing Analytic Talent: Becoming a Data Scientist
| By: | Vincent Granville |
| Publisher: | Wiley Professional Development (P&T) |
| Print ISBN: | 9781118810088 |
| eText ISBN: | 9781118810040 |
| Edition: | 1 |
| Format: | Page Fidelity |
eBook Features
Instant Access
Purchase and read your book immediately
Read Offline
Access your eTextbook anytime and anywhere
Study Tools
Built-in study tools like highlights and more
Read Aloud
Listen and follow along as Bookshelf reads to you
The book discusses the following topics: what is data science and why it is different (from computer science, statistics) and here to stay, why is big data different and require new techniques (and its not hype although the word is abused by fake data scientists), how to extract value from data, how to become a data scientist (independently or through a University program or certification) and the skills needed. Important topics: Analytical recipes and data science tricks and rules of thumb - including the curse of big data, causation vs. correlation Data science job interview questions, horizontal vs. vertical data scientist Case studies - Wall Street, Botnet detection, online advertising What companies are looking for Sample resumes, salary surveys, sample job ads Source code, data sets, dictionary, software / companies and other resources