4. Music has moved online
• The world has changed
– Do you buy vinyl/tapes/CDs of music?
– Do you buy music downloads?
– Do you download illegal content from bittorrent?
– Do you listen to music on YouTube?
– Do you “like” bands on Facebook?
– Do you subscribe to Spotify?
– Do you listen on the radio to the weekly charts on a
Sunday afternoon?
• What’s happening online?
10. A Data Scientist in the Music Industry
• Raw Data -> Derived Data -> Insight
– Who is popular right now/in the immediate future?
– What was the effect of appearing at a festival?
– Which artists are (becoming) popular with listeners
with certain demographics (in a region)?
• Data processing, machine learning & statistical
methods
– Sentiment analysis
– Named Entity Recognition
– Ranking
– Segmentation
• One-offs
– Infographics and microsites for events
– Brand alignment via demographics
– Music Hack Days
• Product
– Daily charts
– Sentiment scoring web crawled reviews
12. Have we been here before?
• Statistician
• Data Analyst
• Quantitative analyst
• Bioinformatician
• Data Miner
• Business Intelligence consultant
• Computational physicst
14. What’s new?
• Data provides the opportunity
– Old: Collect and store data presupposing how it will be used
– New: Collect raw data & explore which derivations are
interesting; integrating data from multiple online sources.
– Big Data technology to cope with data volume
• Programming is essential
– APIs
– Heterogeneous environment(s)
• Method of presentation
– Infographics
– Interactive (web) applications
– (Raw data)
15. Data Scientist
• “Jack of all trades”
– “Hacker” mentality: learn new technology and
approaches for a project on short notice
– Creative self-starters
– Work alongside other experts
(data, domain, software engineering)
16. A Data Scientist is good at knitting?
• Not building from scratch, knitting together pre-existing parts
• Data
– Databases (relational/NoSQL)
– Files
– APIs
• Algorithms
– Open source libraries
– Off the shelf tools
• Compute
– Linux
– AWS?
• Languages
– Many, especially “scripting” languages
Hinweis der Redaktion
http://jasyed.com/datascience/
http://meetup.com/big-data-london/
Long infographic is long: http://www.musicmetric.com/musicmetric-south-by-south-west-infographic/
As of this writing there does not exist a "Data Scientist" entryin Wikipedia although there is one for http://en.wikipedia.org/wiki/Big_data
Microarray image from http://en.wikipedia.org/wiki/DNA_microarray