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Data Science Weekly Newsletter
April 7, 2016

Editor's Picks

  • Doing Data Science Right — Your Most Common Questions Answered
    In this article, we've summarized the advice we give to founders who are interested in building data science teams. We explain why data science is so important for many startups, when companies should begin investing in it, where to put data science in their organization and how to build a culture where data science thrives...
  • Ask the Analyst: How Does Data Science Work at Twitch?
    We just published an interview with Drew Harry, the Director of Science at Twitch. In it, Drew discusses how he and his team: Structure the Science team; Balance qualitative research with quantitative analysis; Define best practices for collaborating with other teams; and Promote the value of data science throughout the company...

A Message From This Week's Sponsor

  • Learn Functional Programming from Experts in 12 weeks, Tuition Free.
    DataScience, Inc. is launching DS12, a residency program that will teach 12 qualified candidates functional programming skills and prepare them with the tools necessary to succeed as part of the world's leading data science teams. To learn more and to apply for our inaugural session beginning June 13th, click here

Data Science Articles & Videos

    A visualization of the most famous sorting algorithms ...
  • How to approach machine learning as a non-technical person
    This post is not a primer on ML technology; this post won’t pretend to give you an explanation of deep learning or any specific technology, because these concepts change frequently and are largely irrelevant to much of the decision making. Instead, this post will address how to assess the technology and determine if it will yield pragmatic business value...
  • Guess The Correlation
    How good are you at guessing correlation coefficients from scatter plots? Test your skills! ...


  • Data Scientist - Colgate-Palmolive - Piscataway, New Jersey
    Colgate-Palmolive is a leading global consumer products company, tightly focused on Oral Care, Personal Care, Home Care and Pet Nutrition. This position is responsible for the design and development of prospective methods/tools that use data to predict clinical/consumer and finished product outcomes. These tools, infrastructure and methods will ensure that data is retained, accessible and fully leveraged by the organization to make better decisions...

Training & Resources


  • How to Bake Pi: An Edible Exploration of the Mathematics of Mathematics Accessible introduction to the logic of mathematics-sprinkled throughout with recipes...
    "This is the best book about math that I've ever read. This coming from someone who had loved math from a young age, majored in math, and have taught math for several years..."... For a detailed list of books covering Data Science, Machine Learning, AI and associated programming languages check out our resources page...

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