Data Science at Scale

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Below are the top discussions from Reddit that mention this online Coursera specialization from University of Washington.

Offered by University of Washington. Tackle Real Data Challenges. Master computational, statistical, and informational data science in three ... Enroll for free.

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Taught by
Bill Howe
Director of Research
and 7 more instructors

Offered by
University of Washington

This specialization includes these 1 courses.

Reddit Posts and Comments

1 posts • 45 mentions • top 4 shown below

r/datascience • post
16 points • swayson
Introduction to Data Science - Free Course

Coursera now includes an introductory course for Data Science.
It will only start April 2013, by the looks of things.

Specific Topics: * Data modeling: relations, key-value, trees, graphs, images, text * Relational algebra and parallel query processing * NoSQL systems, key-value stores * Tradeoffs of SQL, NoSQL, and NewSQL systems * Algorithm design in Hadoop (and MapReduce in general) * Basic statistical analysis at scale: sampling, regression * Introduction to data mining: clustering, association rules, decision trees * Case studies in analytics: social networking, bioinformatics, text processing

r/codeblack • post
6 points • Mateus_0
Intro to Data Science - A pretty neat course on Coursera
r/codeblack • post
10 points • Audioburn
Forming a team for Kaggle competitions?

How many of you guys would be interested in forming a team for Kaggle competitions?

We could spend the next 5-8 months learning/reviewing data science and statistics/probability (and we could use this subreddit and our IRC channel as a means of communication).

The knowledge we gain (and maybe cash if we are good) from these competitions can not only help us start businesses and support each other, but the knowledge can also help us solve problems for our community. Also, it also might get us some notoriety so other like-minded people can join us.

What do you guys think?


Kaggle Website

What is Kaggle?

Current Kaggle Competitions

Learning Resources: