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<div style="line-height: 1.5em; font-size: 200%; font-family:'Helvetica Neue', 'Lucida Grande', Tahoma, Verdana, sans-serif;"> <center>Welcome to the '''Data Science''' Learning Playlist</center></div>
<div style="line-height: 1.5em; font-size: 175%; font-family:'Helvetica Neue', 'Lucida Grande', Tahoma, Verdana, sans-serif;"> What is '''Data Science?'''</div>
Data science is the study of the extraction of knowledge from data by using math, probability models, machine learning, computer programming, statistics, pattern recognition and learning, visualization, and uncertainty modeling. The main goal of the study is to extract useful knowledge from the data.
<div style="line-height: 3em; font-size: 175%; font-family:'Helvetica Neue', 'Lucida Grande', Tahoma, Verdana, sans-serif;"> Your '''Resources'''</div>
=== Groups on GCcollab ===
* [https://gccollab.ca/groups/profile/5881/data-science-science-des-donnees Data Science Group]
=== Events ===
* Add an event
=== Videos ===
* Add a video
=== News Articles and Blogs ===
* Add an article/blog
=== Online Courses ===
* [https://www.edx.org/course/introduction-to-data-science Microsoft - Introduction to Data Science]
* [https://www.edx.org/course/introduction-to-python-for-data-science Microsoft - Introduction to Python for Data Science]
* [https://github.com/hadley/stats337 Readings in Applied Data Science - Hadley Wickham]
Social Media accounts to follow (eg. Twitter handles, LinkedIn/Facebook groups)
=== Books ===
* [http://www-bcf.usc.edu/~gareth/ISL/ISLR%20Seventh%20Printing.pdf Introduction to Statistical Learning with Applications in R]
* [https://web.stanford.edu/~hastie/Papers/ESLII.pdf Elements of Statistical Learning]
=== Podcasts ===
* [https://dataskeptic.com/ Data Skeptic Podcast]
=== Academic Articles ===
* Add an academic article
=== Social Media Accounts to Follow (e.g. Twitter handles, LinkedIn groups, etc.) ===
* Add an account