Difference between revisions of "The Square/Data Science"

Latest revision as of 09:25, 6 July 2018

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Welcome to the Data Science Learning Playlist

What is Data Science?

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.

Your Resources

Groups on GCcollab

Data Science Group

Events

Add an event

Videos

Add a video

News Articles and Blogs

Add an article/blog

Online Courses

Books

Podcasts

Data Skeptic Podcast

Academic Articles

Add an academic article

Social Media Accounts to Follow (e.g. Twitter handles, LinkedIn groups, etc.)

Add an account

@@ Line 12: / Line 12: @@
 <div style="line-height: 1.5em; font-size: 175%; font-family:'Helvetica Neue', 'Lucida Grande', Tahoma, Verdana, sans-serif;">&nbsp;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, uncertainty modeling. The main goal of the study is to extract useful knowledge from the data.
+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;">&nbsp;Your '''Resources'''</div>
-<span style="color:blue"><h3>Groups on GCcollab</h3></span>
+=== Groups on GCcollab ===
-* Test
+* [https://gccollab.ca/groups/profile/5881/data-science-science-des-donnees Data Science Group]
-* Test 2
-* Test 3
-<span style="color:blue"><h3>Events</h3></span>
+=== Events ===
-* Test
+* Add an event
-* Test 2
-* Test 3
-<span style="color:blue"><h3>Videos</h3></span>
+=== Videos ===
-* Test
+* Add a video
-* Test 2
-* Test 3
-<span style="color:blue"><h3>News Articles and Blogs</h3></span>
+=== News Articles and Blogs ===
-* Test
+* Add an article/blog
-* Test 2
-* Test 3
-<span style="color:blue"><h3>MOOCs (Massive, Open, Online Courses)</h3></span>
+=== Online Courses ===
-* [https://www.edx.org/course/introduction-to-data-science Microsoft - Introduction to Data Science] provided by [https://gccollab.ca/profile/Ashleyevans Ashley Evans]
+* [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] provided by [https://gccollab.ca/profile/Ashleyevans Ashley Evans]
+* [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]
-<span style="color:blue"><h3>Books</h3></span>
+=== Books ===
-* Test
+* [http://www-bcf.usc.edu/~gareth/ISL/ISLR%20Seventh%20Printing.pdf Introduction to Statistical Learning with Applications in R]
-* Test 2
+* [https://web.stanford.edu/~hastie/Papers/ESLII.pdf Elements of Statistical Learning]
-* Test 3
-<span style="color:blue"><h3>Podcasts</h3></span>
+=== Podcasts ===
-* Test
+* [https://dataskeptic.com/ Data Skeptic Podcast]
-* Test 2
-* Test 3
-<span style="color:blue"><h3>Academic Articles</h3></span>
+=== Academic Articles ===
-* Test
+* Add an academic article
-* Test 2
-* Test 3
-<span style="color:blue"><h3>Social Media Accounts to Follow (e.g. Twitter handles, LinkedIn groups, etc.)</h3></span>
+=== Social Media Accounts to Follow (e.g. Twitter handles, LinkedIn groups, etc.) ===
-* Test
+* Add an account
-* Test 2
-* Test 3
-<span style="color:blue"><h3>Sources?</h3></span>
-* Test
-* Test 2
-* Test 3