DataCamp Weekly: data.world open course, Writing better SQL, Data Science Walkthroughs, & more!

Hi, happy Tuesday, everyone! Busy week here at DataCamp and plenty to share... [DataCamp]( DataCamp Weekly Issue #7 ― July 25, 2017 Hi, happy Tuesday, everyone! Busy week here at DataCamp and plenty to share. We’re announcing an open course with data.world, launched an SQL tutorial, curated some data science walkthroughs and, as always, we’ve selected some projects, resources and top news items! I hope you enjoy this one! Like what you’re seeing? Forward to a friend! Received this email from a friend? [Sign up]( for a DataCamp account to to receive a dose of data science every Tuesday. :) --------------------------------------------------------------- Projects & Resources [Intro to data.world in Python]( data.world is a community where you can find interesting data, store and showcase your own data and data projects, and find and collaborate with other members. This free DataCamp open course shows you how to use the data.world Python SDK to easily pull data and its metadata into your environment. [datacamp.com]( [SQL Tutorial: How To Write Better Queries]( It can’t be overstated how important SQL is for a data scientist. Most companies store their data in relational databases. Writing efficient queries and ensuring they perform well is a crucial skill to have. If you know the basics of SQL, this tutorial is for you. [datacamp.com]( [12 Useful Data Science Walkthroughs]( So you’ve developed your base data science skills, and are looking for ways to apply them? These 12 walkthroughs will help you gain hands-on experience in a fun and approachable way. Let us know which one is your favorite! [datacamp.com]( [How to create reports with R Markdown in RStudio]( R Markdown users know how valuable reporting in R Markdown is. It resonates with data scientists as it is easily reproducible and supports a wide variety of static and dynamic output formats. This simple introduction to reporting with R Markdown will save you and your team a lot of time. [r-exercises.com]( [A Practical Guide to Tree Based Learning Algorithms]( This post covers Tree Based Learning Algorithms and takes a deep dive in the maths behind these algorithms along with some Python examples. Great guide to explore tree-based algorithms, and perfect for those looking for a bit more technical posts. [sadanand-singh.github.io]( [How to make maps with Census data in R]( This fun tutorial introduces you to the Census API, which gives you easy access to the US Census data. The example shown here is plotting median household income by county for every county in South Carolina on a map. [randomjohn.github.io]( In The News [Q&A with a DataCamp Counselor]( Datanami catches up with DataCamp’s Director of Growth, Weston Stearns, about the state of data science education, DataCamp’s recent $4m Series A raise, and the plans for growth. Great read if you wish to learn more about DataCamp the company! [datanami.com]( [What are the best resources for learning how to use Python for Machine Learning/Data Science?]( DataCamp’s Data Journalist answers a question on Quora outlining some of the best learning resources to learn Python for machine learning and data science. [quora.com]( [5 Free Resources for Getting Started with Deep Learning for Natural Language Processing]( A handy collection of 5 resources to get started with Deep Learning and Natural Language Processing. These are geared for beginners and are eye-opening for those just starting to explore deep learning. [kdnuggets.com]( [The Business of Artificial Intelligence]( This is a must-read article from the latest edition of the Harvard Business Review. It explains why AI is the most powerful technology to come around in a long time. It also gives key insights into the ways to apply AI at work. [hbr.org]( [Three very different sources of bias in AI, and how to fix them]( Thought-provoking article about three different sources of bias in AI - and how to solve them. One or two of those biases are rarely talked about and the solutions are equally as insightful. [joanna-bryson.blogspot.co.uk]( [What are the best Data Science-related Podcasts?]( For those who prefer podcasts, a reddit user compiled some of the best data science related podcasts. [reddit.com]( Elsewhere - [Network analysis of Game of Thrones]( - [IEEE Spectrum 2017 Top Programming Languages]( - [Using Machine Learning to Predict Value of Homes On Airbnb]( - [A list of artificial intelligence tools you can use today — for businesses]( - [Animating a spinner using ggplot2 and ImageMagick]( - [AI and 'Enormous Data' could make tech giants harder to topple]( Jobs - [Machine Learning, ExxonMobil, Clinton, NJ, US]( - [Senior Data Scientist at Windfall Data, San Francisco, US]( - [Senior Consultant - Data and Analytics, PWC, Kolkata, India]( Events - [Big Data Innovation, Data Visualization Summits, Boston, Sep 7-8]( - [Deep Learning, AI Assistant Summits London feature DeepMind and much more, Sep 21-22]( --------------------------------------------------------------- Here to Help See something interesting? Share via [Facebook]( [LinkedIn]( [Twitter](. That's all for now. Have a great week! DataCamp Inc. 2067 Massachusetts avenue Cambridge MA 02140 [Unsubscribe](