The document discusses the rise of data scientist jobs and why they are in high demand. It provides definitions of data scientist and discusses the talent gap that exists. It shows rising job postings and salaries for data scientists. It lists common skills needed for data scientists and universities that offer programs in data science and analytics. Finally, it provides information on free online courses and upcoming events related to data science and big data.

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?

5. Data Scientist definition

8. Data Scientist Talent Gap
Source:Harvard Business Review

9. Job Trends
Source:Indeed.com

10. Salary trend
Source: http://www.itjobswatch.co.uk

11. Data Scientist skills

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

17. 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

18. How to become a Data Scientist
BRAINS

19. How to become a Data Scientist

20. Data Scientist

21. BigData - new specialist
Source System Specialists
Hadoop Specialists
Data Warehouse Specialists
BI Developers Data Scientists
IT Infrastructure Specialists

22. Data Scientist and Big Data
Let`s talk
@AZdebiak
Agnieszka.Zdebiak@gmail.com