The link includes videos and lecture notes from the course.
- LinkedIn They turn data into products better than anyone else.
- Facebook If you are the type of person that loves to analyze people’s lives, there is no better place.
- Twitter Duh, It’s Twitter. lots of data and lots of possibilities
- Cloudera Cloudera is a successful Hadoop-based startup. Build tools and explore huge datasets for a variety of industries.
- Kaggle If optimizing algorithms and really diving into the data to get every last ounce of information is your thing, then Kaggle is it. Plus, there is nowhere else you will get to work on so many important problems in such a wide range of domains. Unfortunately, Kaggle is not currently hiring any data scientists, but they most likely will be seeking more in the future.
There are many other companies hiring data scientists. Where would you like to be a data scientist?
DJ Patil and Josh Elman, both of Greylock Partners, give an insightful talk at LeWeb London 2012. The most important part was the introduction of the Data Scientific Method.
Data Scientific Method
- Start with a Question
- Leverage your current data
- Create features and run tests
- Analyze the results and draw insights
- Let the data frame a conversation
This is a fun and interactive visualization of 659 twitter accounts linked to data science.
Marketers should target customers that share a lot on social networks. Or not! I found it interesting that Twitter and Facebook were in the bottom 5 list of influences for the social consumer. I would have expected it to be different. Search results, brand websites and online adds are all more important. This is one example of data going contrary to my own belief.