Tag Archives: data science

Link to Data Science Infographic

This infographic does a great job of displaying what a data scientist does and what skills are needed.  Just click and check it out for yourself.

Heroku Thinks Sharing Data is Important

Last week,  Heroku announced a new feature to its PostgreSQL database service.  The new feature is called Data Clip, and it allows users to share results of an SQL query.  It has options to store the exact data from when the query was originally run or the query can be refreshed to return the current data.  I can definitely see this being useful for debugging of code and troubleshooting, which may have been Heroku’s original intent.

I can also see the Data Clip being very useful for data science and quick sharing of relevant data. I doubt the Data clip can handle huge result sets, but huge data is not always necessary. Sometimes, being able to quickly share data results is just as important. Plus the Data Clip allows the results to be downloaded into Excel, csv, json, or yaml formats. Therefore the data can be easily manipulated from there.

See an example in action.

What is a data scientist?

If I am going to create a blog about becoming a data scientist, I must at least provide some type of definition.  One of the best definitions I have read is by Hilary Mason, Chief Scientist at Bit.ly,

A data scientist is someone who can obtain, scrub, explore, model and interpret data, blending hacking, statistics, and machine learning.

This definition is short and simple, but there are many more definitions out there.  In fact CITO Research, a site for CIOs and CTOs, set out to define what a data scientist is.  They interviewed six leaders in the data science community, and posted all of the interviews online.  The interviews produced varied results, but focused on some main themes of what a data scientist should know.

After reading Hilary’s definition, the CITO Research interview’s, a great post at Quora, and numerous other articles, I created a list of data science skills:

  • Machine Learning
  • Statistics
  • Story Telling (Communication)
  • Big Data
  • Algorithms
  • Curiosity

I am sure this list will change and evolve over time, but that is where I am going to focus for now.  If you have anything to add to the list, please leave a comment.  If you are interested in gaining some data science skills, please follow along and let’s learn together.

Why did I create Data Science 101?

Obviously the world does not need another blog. However, blogs are a great way to share information, and I am creating a new one anyway.

The analysis of data is becoming more important everyday. Data Science is quickly becoming a hot topic of interest, and I have a desire to become a data scientist. Thus, this blog will contain information I find useful during my data science journey. I hope others find the blog useful too.

If you are interested in becoming a data scientist, please follow along and let’s start learning together.