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Big Data and Data Science are hot buzzwords right now. The buzzwords might go away but the ideas will not. This talk will explain the buzzwords, and it will cover some of the best resources for attaining data science skills.
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Why Data Science is Something You Should Care About
Presented @ South Dakota Code Camp 2012
Ryan Swanstrom @swgoof
About Ryan Swanstrom
Find me on the web
http://twitter.com/swgoof
http://linkedin.com/in/ryanswanstrom
http://datascience101.wordpress.com/
Data Science
"[ability to] obtain, scrub, explore, model and interpret data, blending hacking, statistics, and machine learning."
definition by Hilary Mason, Chief Scientist @ Bit.ly
Data Science
http://www.drewconway.com/zia/?p=2378
Big Data
Any dataset where the size or speed of incoming data causes difficulties in processing
● Volume● Velocity● Variety
Hadoop
"[...] a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models."
Apache Hadoop Website
● HDFS - Hadoop Distributed File System● MapReduce
Lots of Data
18 Monthsthe amount of time for digital data to double
Data Products
Why Do You Care?
McKinsey Global Big Data Report
● 140k - 190k Unfilled Jobs by 2018
● 1.5M Managers & Analysts
Indeed Data Science Job Listings
http://www.indeed.com/jobtrends?q=Data-science&relative=1
Now That You Care, What Skills?
1. Machine Learning2. Statistics3. Story Telling (Communication)4. Big Data5. Algorithms6. Curiosity
College and University
http://datascience101.wordpress.com/2012/04/09/colleges-with-data-science-degrees/http://whatsthebigdata.com/2012/08/09/graduate-programs-in-big-data-and-data-science/
College and University
Pros
● Credentials● Experts● Familiar● Widely Accepted● Structured
Cons
● Expensive● Not Individualized● School● Lengthy● Inflexible● Not Real World
General Assembly - Not really Corp Training, but it looks really good
Corporate Training
Corporate Training
Pros
● Short Timeframe● Experts● Certificates● Business-Savy● Real World● Structured
Cons
● Expensive● Not Individualized● Product Focused● Sales Pitch
MOOCs (Massive Open Online Courses)
MOOCs (Massive Open Online Courses)
Pros
● Free● Experts● Flexible
Cons
● No Credentials● Single Course● No Programs (Yet)
Blogs/Wikis/Other
Blogs/Wikis/Other
Pros
● Free● Very Specific● Short● Lots of them
Cons
● Quality?● No Credentials● No Structure● Too many!
Blogs/Wikis/Other
The Problem
● What content is good?
● What order should I cover the content?
● Where do I find new content?
● Who can help me understand?
Data Science 201 - coming soon
http://www.datascience201.comHelping you find the best
data science learning content!
Thank You
