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Your DataCamp Weekly roundup

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Tue, Jun 13, 2017 01:13 PM

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Welcome to the first ever issue of DataCamp Weekly! This week: the jobless future, Hacker News analy

Welcome to the first ever issue of DataCamp Weekly! This week: the jobless future, Hacker News analysis, Facebook Data, data.table cheat sheet, and more. [DataCamp]( DataCamp Weekly Issue #1 ― June 13, 2017 Welcome to the first ever issue of DataCamp Weekly! Here you'll find a handpicked newsletter full of the best data science news, projects and resources. This week we're talking about the jobless future, Hacker News analysis, Facebook data, data.table cheat sheet, and more. Received this email from a friend? [Sign up]( for a DataCamp account to to receive a dose of data science every Tuesday. --------------------------------------------------------------- Projects & Resources [Python for Finance: Algorithmic trading]( Insightful tutorial to cover the basics of algorithmic trading in Python. Develop a simple momentum strategy, backtest it with Quantopian, pandas and zipline, and finally optimize and evaluate it to maximize returns. [datacamp.com]( [6 Interesting Things You Can Do with Python on Facebook Data]( Tested this out over the weekend, very interesting project by Nour Galaby. Facebook Graph API makes a lot of very interesting data available to you. Learn how to get the most out of it using Python. [kdnuggets.com]( [Functions in R Tutorial]( Getting started with Functions in R? This tutorial covers the basics of functions in R, including some of the more popular ones, nested functions, anonymous functions and more. [datacamp.com]( [data.table Cheat Sheet]( Make fast data manipulation with the data.table R package. This cheat sheet will help you get started with this popular R package used in finance and genomics. [datacamp.com]( In the News [What Amazon Teaches us about AI and the Jobless Future]( This article is a fresh perspective on AI taking jobs away from humans. Using Amazon as an example, Tim O’Reilly argues that while Amazon heavily invests in AI and technology, they do so to grow their business and productivity, not to cut costs and cut jobs. Interesting perspective and very good read. [medium.com]( [Words growing or shrinking in Hacker News titles: a tidy analysis]( DataCamp instructor David Robinson builds off Tagger News, which he built last month at Techcrunch Disrupt, and analyses 1 million Hacker News titles to see which topics are gaining or losing interest in the tech world. [varianceexplained.org]( [How to call B.S. on Big Data: A Practical Guide]( This article from the New Yorker lays out what to look for when you encounter a seemingly complex analysis to make sure it is not misleading. [newyorker.com]( [The Blissful Ignorance of the Narrative Fallacy]( Do narratives impact performance in sport as much as we think? This article uses data to show that narratives are created to match the data, not the other way around. A historical performance by Steph Curry was inevitable, and it just happened to be on November 7th. [multithreaded.stitchfix.com]( Other Cool Stuff - [Why underdogs do better in hockey than basketball]( - [Big Data Manipulation in R Exercises]( --------------------------------------------------------------- That's all for now. Have a great week! See something interesting? Share via [Facebook]( [LinkedIn]( [Twitter](. DataCamp Inc. 2067 Massachusetts avenue Cambridge MA 02141 [Unsubscribe](

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