Skip to Content
Developing Analytic Talent: Becoming a Data Scientist
book

Developing Analytic Talent: Becoming a Data Scientist

by Vincent Granville
April 2014
Beginner
336 pages
8h 49m
English
Wiley
Content preview from Developing Analytic Talent: Becoming a Data Scientist

CHAPTER8

Data Science Resources

The previous chapter focused on helping you get employed as a data scientist. In this chapter, you will find numerous resources that will be of value to you in your professional life and your career-building efforts.

Professional Resources

This section provides information on resources to help you in your data science career, including data sets, books, conferences, organizations, websites, and important definitions.

CROSS-REFERENCE Chapter 3, “Becoming a Data Scientist,” covers training programs, courses, and certifications.

See the sections History and Pioneers in Chapter 1, and The Big Data Ecosystem in Chapter 2 for details on vendors.

See the section Taxonomy of a Data Scientist in Chapter 7 for information on today's top data scientists.

Data Sets

Data Science Central has several data sets available at http://bit.ly/W2HTJU, including the following:

  • Source code and data for your big data keyword correlation API (also see the section Source Code for Keyword Correlation API in Chapter 5).
  • Great statistical analysis: forecasting meteorite hits (also see the section Forecasting Meteorite Hits in Chapter 6).
  • 53.5-billion-clicks data set available for benchmarking and testing.
  • More than 5,000,000 financial, economic, and social data sets.
  • New pattern to predict stock prices and multiplies return by factor 5 (stock market data, S&P 500; see the section Stock Market in Chapter 6).
  • 3.5 billion web pages: the graph has been extracted from the Common ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.

Read now

Unlock full access

More than 5,000 organizations count on O’Reilly

AirBnbBlueOriginElectronic ArtsHomeDepotNasdaqRakutenTata Consultancy Services

QuotationMarkO’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.
Julian F.
Head of Cybersecurity
QuotationMarkI wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.
Addison B.
Field Engineer
QuotationMarkI’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.
Amir M.
Data Platform Tech Lead
QuotationMarkI'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Mark W.
Embedded Software Engineer

You might also like

Statistical Learning for Big Dependent Data

Statistical Learning for Big Dependent Data

Daniel Peña, Ruey S. Tsay
The Human Factor in AI-Based Decision-Making

The Human Factor in AI-Based Decision-Making

Philip Meissner, Christoph Keding

Publisher Resources

ISBN: 9781118810088Purchase book