Data Science at Scale
Below are the top discussions from Reddit that mention this online Coursera specialization from University of Washington.
Learn scalable data management, evaluate big data technologies, and design effective visualizations.
Python Programming R Programming Mapreduce SQL Relational Algebra Random Forest Predictive Analytics Machine Learning Data Analysis Data Wrangling Statistics
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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
4 posts • 52 mentions • top 9 shown below
38 points • edomo
Don't forget that UW's Introduction to Data Science (Coursera) starts 5/1. An excellent concurrent complement to Andrew Ng's ML class.
20 points • zean3000
Coursera has a free Intro to Data Science course starting tomorrow
17 points • bullwinkle2059
Advice on preparing for Big Data interview next Monday
I am working on my PhD in math with a research focus that is not remotely related to big data but have an internship interview next week and am trying to prepare for it. I have slowly been learning R and am reviewing the video lectures from a big data course (https://www.coursera.org/course/datasci). They know my background isn't in big data but I still want to prepare as much as possible so they know I am serious. Do any of you guys have any advice on how I could best prepare over the next several days? All advice is appreciated.
Edit: They FINALLY got back to me. They don't have work now for me but might in the summer. I am now actively looking for an internship in the summer!
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, keyvalue, trees, graphs, images, text * Relational algebra and parallel query processing * NoSQL systems, keyvalue 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
2 points • [deleted]
Big Data?
I am a about to be a third year student at university in the US. I am completing my Bachelor's in CS and minor in Applied Statistics. I am hearing the talk of BigData (some said metaData). I have done research, found about noSQL and other things. This is a very interesting area for me. (side note found this and am planning on watching it this summer this * How many people have used/worked with big data in real life situations. > If you have could you give some insight on it? * Any advice on getting into Big Data?
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 58 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 likeminded people can join us.
What do you guys think?
Learning Resources:

Intro to Data Science  Free online course provided by Bill Howe @ University of Washington

Think Stats  free eBook

Think Bayes  free eBook
3 points • ailover
Here is the list of free data science courses..
​
1.The Open Source Data Science Masters
2. Data Science Essentials Microsoft
4. Data Science Fundamentals – IBM
5. Introduction to Data Science by Jeff Hammerbacher at UC, Berkeley
6. Introduction to Data Science @coursera
7. Learning from Data – California Institute of Technology
8. Introduction to Data Science @UofWashington
9. Become a Data Scientist Dataquest
10. Data Science Course @ColumbiaUni notes by @mathbabe
11. An Introduction to Data Science at Syracuse University ( pdf)
12. Applied Data Science: An Introduction @SyracuseUni
13. Data Science and Analytics at UCBerkeley
14. Process Mining: Data Science in Action @TUEindhoven
15. Learning from Data at California Institute of Technology
​