Stephen Wolfram, founder of Wolfram Research and creator of Mathematica, just announced the new Wolfram Programming Language. This is really exciting and cool, so please take some time to watch the video. I think this might be a game changer in data science.
Professor Ian Witten of The University of Waikato has just begun his second iteration of the online course, Data Mining With Weka. Hurry, because the course started March 3, but there is still time to register and complete the course. The course lasts 5 weeks and covers how to analyze your own data with Weka.
Weka is an open source tool for machine learning and data mining.
Twitter has just released the idea of a Data Grant. You have to login with your twitter account to see the details. The gist is: Twitter will provide you with historical twitter data for research purposes.
What could you do with this data?
The keynote videos from the 2014 Strata conference are now available on the Strata Youtube Channel.
Here is a thought-provoking video about data science for sports.
The United States White House has developed Project Open Data to encourage government agencies to share and produce opendata.
According the Project:
The White House developed Project Open Data – this collection of code, tools, and case studies – to help agencies adopt the Open Data Policy and unlock the potential of government data.
Here are some other materials in the Project.
- Open Data Licenses
- Data Formats
- Case Studies
- Other Resources
Best of all, the entire project is available on GitHub and contributions are welcomed.
I would love to see other organizations start to do similar things. Some organizations, such as Rackspace, have created support around open source coding projects. However, I am unaware of organizations doing things to standardize and encourage the sharing of opendata.
Does any know of any organizations working to create policies for releasing opendata? If so, please leave a comment.
The University of Virginia is in the closing stages of creating a Master of Science in Data Science (MSDS) and the eventual goal is to have an undergraduate minor and a Ph.D. program in Data Science. The curriculum for the MSDS contains a nice mix of math, computer science and statistics courses. It even includes coursework in visualization. Also, the program appears to be an entirely new program and not just the renaming of an existing program.
The University of Virginia is definitely taking the correct steps to become a recognized leader in data science education.