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Data Scientist - Skills, Tools, Techniques & Career path

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Who is a data scientist?
What it takes to be a data scientist?
What are the main skills required to be a data scientist?
What are the most widely used tools by data scientists?
What is the difference between a data analyst and a data scientist?
I work on data, can I call myself as a data scientist?
I know Hadoop, am I a data scientist?

Published in: Data & Analytics

Data Scientist - Skills, Tools, Techniques & Career path

  1. 1. Data Scientists Jack of all trades Venkat Reddy . Konasani VenkatReddyKonasani http://www.slideshare.net/21_venkat 1
  2. 2. Data Scientist - FAQs • Who is a data scientist? • What it takes to be a data scientist? • What are the main skills required to be a data scientist? • What are the most widely used tools by data scientists? • What is the difference between a data analyst and a data scientist? • I work on data, can I call myself as a data scientist? • I know Hadoop, am I a data scientist? We will try to get answers to few questions…. VenkatReddyKonasani http://www.slideshare.net/21_venkat 2
  3. 3. Four main Skills VenkatReddyKonasani http://www.slideshare.net/21_venkat 3 Database Analytics Bigdata Presentation
  4. 4. The Techniques Database Knowledge •Data base Management •Data blending •Querying •Data manipulations Predictive Analytics •Basic descriptive statistics •Advanced analytics •Predictive modeling Big Data knowledge •Big Data analytics •Machine learning •Unstructured data analysis Presentation Skill •Data visualizations •Report design •Insights presentation VenkatReddyKonasani http://www.slideshare.net/21_venkat 4
  5. 5. The Tools VenkatReddyKonasani http://www.slideshare.net/21_venkat 5 Database tools • SQL/MySql • OLAP cubes • Teradata • DB2/Sql Server/ Oracle/ Informix/Exadata Analytical tools • SAS/R/SPSS • Text Miner/ KXEN Big Data Tools • Hadoop, Hive, Pig, Sqoop, Flume, Mahout • Python and Ruby Languages • Matlab/octave/Scikit Presentation Tools • Excel • Tableau /Qlikview
  6. 6. How do I become a data scientist VenkatReddyKonasani http://www.slideshare.net/21_venkat 6 Database Developers • Learn analytics and predictive modeling • Then go to Bigdata tools • Visualization skills can be improved in the end Data Analysts • You must be having sufficient database knowledge • Focus on Bigdata tools & techniques • Then go to visualizations Big Data Developers • Start with basic database management skills • Learn analytical techniques and their implementation Reporting Analyst • You must be having database knowledge • Learn analytics and predictive modeling • Finally to go to Bigdata tools
  7. 7. Some Basics • What is Bigdata analytics? http://www.slideshare.net/21_venkat/basics-of-bigdata • What is Predictive Modeling? http://www.slideshare.net/21_venkat/introduction-to-predictive- modeling-v1 • Introduction to R http://www.slideshare.net/21_venkat/express- introduction-to-r • Other Analytics PPTs http://www.slideshare.net/21_venkat/presentations VenkatReddyKonasani http://www.slideshare.net/21_venkat 7
  8. 8. Thank You VenkatReddyKonasani http://www.slideshare.net/21_venkat 8
  9. 9. Image Sources • http://www.coolinfographics.com/blog/tag/social?currentPage=5 • http://blog.kurtosys.com/data-visualization-marketing-reporting/ VenkatReddyKonasani http://www.slideshare.net/21_venkat 9

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