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Welcome to the Data Science Learning Playlist
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<div style="line-height: 1.5em; font-size: 175%; font-family:'Helvetica Neue', 'Lucida Grande', Tahoma, Verdana, sans-serif;"> What is '''Data Science?'''</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, 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;"> Your '''Resources'''</div> | <div style="line-height: 3em; font-size: 175%; font-family:'Helvetica Neue', 'Lucida Grande', Tahoma, Verdana, sans-serif;"> Your '''Resources'''</div> | ||
=== Groups on GCcollab === | === Groups on GCcollab === | ||
− | * | + | * [https://gccollab.ca/groups/profile/5881/data-science-science-des-donnees Data Science Group] |
=== Events === | === Events === | ||
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* [https://www.edx.org/course/introduction-to-data-science Microsoft - Introduction to Data Science] | * [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://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] | ||
=== Books === | === 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 === | === Podcasts === | ||
− | * | + | * [https://dataskeptic.com/ Data Skeptic Podcast] |
=== Academic Articles === | === Academic Articles === |
Latest revision as of 09:25, 6 July 2018
![Sqaure new EN.png](/images/8/8d/Sqaure_new_EN.png)
About | Contact | GCcollab |
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
Events
- Add an event
Videos
- Add a video
News Articles and Blogs
- Add an article/blog
Online Courses
- Microsoft - Introduction to Data Science
- Microsoft - Introduction to Python for Data Science
- Readings in Applied Data Science - Hadley Wickham
Books
Podcasts
Academic Articles
- Add an academic article
Social Media Accounts to Follow (e.g. Twitter handles, LinkedIn groups, etc.)
- Add an account