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Data Scientist
  Why now?
Data scientist                       Why now?


          Agnieszka Zdebiak
                     @AZdebiak
          Agnieszka.Zdebiak.com



                         15 years experience
                         software designer
                         data scientist


                         BigB.it
                         fPrice.eu
Data scientist   Why now?
Data Scientist definition
Data Scientist Talent Gap




                   Source:Harvard Business Review
Job Trends




             Source:Indeed.com
Salary trend




               Source: http://www.itjobswatch.co.uk
Data Scientist skills
How to become a Data Scientist

Universities that specialize in data science, analytics and business
intelligence
.
1. Carnegie Melon University – B.I. & data analytics
2. Fordham University - business analytics
3. Michigan State - business analytics
4. New York University - business analytics
5. Oakland University - business analytics
6. Stevens Institute - B.I. & analytics
7. Syracuse - data science
8. University of Washington - data science
9. University of San Francisco - B.I.
10. University of South Florida - B.I.
11. University of Sherbrooke - B.I.
How to become a Data Scientist
How to become a Data Scientist
How to become a Data Scientist
How to become a Data Scientist

Free Big Data Education:

Lower-Division Courses
   Data Science 101 – Statistics One    Graduate Courses
   Data Science 102 – Computing for        Data Science 301 – Learning from
   Data Analysis                           Data (Caltech course CS101)
   Data Science 103 – Data Analysis        Data Science 302 – Machine
   Data Science 104 – Introduction to      Learning III (MIT course 6.867)
   Data Science
Upper-Division Courses
   Data Science 201 – Machine
   Learning I
   Data Science 202 – Machine
   Learning II
   Data Science 203 – Neural
   Networks for Machine Learning
How to become a Data Scientist

                    http://whatsthebigdata.com/events/
March
Webinar Social Analytics, Big Data & Surveillance, March 1, 12pm AEDT

Analytics and Applications for Federal Big Data, March 5-6, Washington DC

Webinar Best Practices to Build Trust in Your Data Quality and Analytics,
                                                     March 5, 9am/12pm ET

Webinar Thinking Big Together: Driving the Future of Data Science, March 5, 1pm PT

Webinar Introduction to Data Visualization with R and ggplot2, March 6, 1pm PT

Data Mining for Business Intelligence, March 7, Ben-Gurion University, Beer Sheva, Israel

Talend Connect, March 12, San Francisco, CA
How to become a Data Scientist




BRAINS
How to become a Data Scientist
Data Scientist
BigData - new specialist


     Source System Specialists
     Hadoop Specialists
     Data Warehouse Specialists
     BI Developers  Data Scientists

     IT Infrastructure Specialists
Data Scientist and Big Data



  Let`s talk

           @AZdebiak
  Agnieszka.Zdebiak@gmail.com

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Data Scientist Why now?

  • 1. Data Scientist Why now?
  • 2. Data scientist Why now? Agnieszka Zdebiak @AZdebiak Agnieszka.Zdebiak.com 15 years experience software designer data scientist BigB.it fPrice.eu
  • 3. Data scientist Why now?
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  • 8. Data Scientist Talent Gap Source:Harvard Business Review
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  • 12. How to become a Data Scientist Universities that specialize in data science, analytics and business intelligence . 1. Carnegie Melon University – B.I. & data analytics 2. Fordham University - business analytics 3. Michigan State - business analytics 4. New York University - business analytics 5. Oakland University - business analytics 6. Stevens Institute - B.I. & analytics 7. Syracuse - data science 8. University of Washington - data science 9. University of San Francisco - B.I. 10. University of South Florida - B.I. 11. University of Sherbrooke - B.I.
  • 13. How to become a Data Scientist
  • 14. How to become a Data Scientist
  • 15. How to become a Data Scientist
  • 16. How to become a Data Scientist Free Big Data Education: Lower-Division Courses Data Science 101 – Statistics One Graduate Courses Data Science 102 – Computing for Data Science 301 – Learning from Data Analysis Data (Caltech course CS101) Data Science 103 – Data Analysis Data Science 302 – Machine Data Science 104 – Introduction to Learning III (MIT course 6.867) Data Science Upper-Division Courses Data Science 201 – Machine Learning I Data Science 202 – Machine Learning II Data Science 203 – Neural Networks for Machine Learning
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  • 18. How to become a Data Scientist BRAINS
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