Category Archives: Learn Data Science

This is a category for all things related to learning data science.

What Makes a Good Data Scientist?

Jeremy Howard is the Chief Scientist at Kaggle. At the end of this interview, from the Strata Conference 2012, he identified 4 simple traits that a data scientist needs.

  1. Creativity
  2. Open-mindedness
  3. Tenacity
  4. A Good Skillset

Jeremy Howard of Kaggle at Strata 2012

In this brief interview he covers a range of other data science topics:

  • Big Data is an engineering problem
  • Analytics generate value/insight from data
  • Predictive Modeling is about answering a question – build a model to do that
  • Is Data Science about tools or people? – watch the video for Jeremy’s answer
  • And others…

See this previous post for more videos from Strata 2012.

Did You Miss Strata 2012?

The Strata Conference Making Data Work for 2012 just finished up. If you (like me) were unable to attend the conference, you may have missed out on some of the networking and excitement of actually being at the conference, but you can still glean some knowledge from the videos.

Steve Schoettler “Learning Analytics”

This is a good video about how data can be used to help people learn.
There are many other Strata 2012 videos available as well. See below for links to them.

Other Strata 2012 Videos

See the O’Reilly Strata CA 2012 Playlist on Youtube for more videos. The videos contain numerous interviews with the speakers and even a few of the talks. Also, many of the slide decks can be found on the Strata Conference website.

Have fun catching up on everything that happened at Strata Conference 2012.

Need A Data Scientist? Probably

In the article Do you need a data scientist?, the following questions get answered:

  • What data scientist’s do?
  • Who makes a good data scientist?
  • When is the right time to hire a data scientist?

Hopefully, I will discuss each of these questions in more detail in a later blog post.

To answer the question, if your data is growing you would probably benefit from a data scientist.

The following is a video that goes along with this topic.

205 Million Dollars of Funding For Big Data Startups

It is a great time to be working on a startup in the Big Data arena. First the topics of big data and data science are really popular in the tech world right now. Second, it appears that investors are interested as well. Below are two examples:

Accel Partners formed a $100 million fund for startups that are focused on Big Data.  The fund is not limited to storage or analysis.  It is really all encompassing.  If you have a startup that, in any way, helps people or businesses deal with lots of data, then you are welcome to apply. For more on the fund and how to apply, see the page on the Accel Partners’ website.

IA Ventures has also set up a $105 million dollar fund for startups that are focused on data.

So if you have a “data” startup, now is a great time to get some funding.