This document discusses data science, including its hype and realities. It provides an overview of data science concepts like big data, data warehousing, business intelligence, and predictive analytics. It also discusses the data science process and pipeline. Examples of data science use cases in oil and gas are given. The document provides advice on how to get started in data science, including training, experience, tools, and passion. Finally, potential topics for future data science meetups are listed.

1. Data Science Hypes and Reality
What is it and how to get started
by
HelgeBjorland.com
Stavanger Data Science Meetup

2. Why should you care about Data Science?

3. http://econ.st/1RPH7xv

4. US search term trends
US Data Science Job Trend

5. Norwegian search term trends
How will the Norwegian Data Science job trend develop?

6. Data Science is Critical in Era of Big Data
Avalanche of
Data from new
sources with
varying types
Data
Visualizations
alone can’t find
complex
associations
Human brains
can predict
events only if
limited to a
couple of
variables

7. "The purpose of computing is insight, not numbers"
- Richard Hamming, 1961

8. http://bit.ly/1UIOKqc

9. Data Science – Taking analytics into the future
Data
Science
Business
Intelligence
Data Warehouse
KPI & Benchmarking
2016-01-259Classification: Internal
Predict the future
Predictive and prescriptive analytics to facilitate forward-
looking decision making
Analyticalmaturity
Consider past performance
Visual descriptive & diagnostic analytics based on
historic performance
Make data available
Decide measures for success

10. What is Big Data?
Big Data = Crude Oil

11. What is Data Science?
Data Science = Oil Refinery

12. Maturing the use cases
Better raw materials give better product
2016-02-0512Classification: Internal
Guideline: How to share data
Question is
sharp
Data measures
outcome
Data is
accurate
Data is
connected
A lot of data
bit.ly/1eVuwD9

13. Data Science: The Science and Art of…
Business
Understanding
Data
Understanding
Data
Preparation
Modeling
Evaluation
Deployment
Data Pipeline
Obtaining
predictive,
actionable insight
from data
Discovering what
we don’t know from
data
Communicating
relevant business
stories from data
Creating Data
Products that have
business impact
now
Building confidence in
decisions that drive
business value
http://www.sv-europe.com/crisp-dm-methodology/

14. http://bit.ly/1tix4mj

15. Data Jujitsu
The art of turning data into product
Data
Data Scientist
Jujitsu fight Data
Product
http://oreil.ly/1Y5vyke

16. Some Oil & Gas use cases
Predictive Maintenance Satelite imaging Network SecurityOptimisation
Seismic Reservoar Drilling Fracking

17. 2014-10-1317Classification: Internal
Competence Process
Tools Collaboration
Bringing it all together

18. How to get started
Training Experience Curiosity
Resources and training plan
bit.ly/1qcvHrw
Kaggle
bit.ly/1l9yjm9
Resources
bit.ly/1X5yFbI

19. PASSION!

20. Possible topics for future meetups
1. Intro to machine learning
2. Refining the crude – Preparing big data for machine learning
3. Using Tensorflow to create neural networks
4. Using Caravel for data exploration
5. Time series decomposition & SAX for machine learning
6. Process mining
7. Efficient data wrangling techniques
8. Visualisations J3
9. Creating data products with R
10. Financial forecasting with machine learning
Github repo for planning: bit.ly/1Rvh0tI

21. In Stavanger and interested in Data Science?
Join the community
http://www.meetup.com/Stavanger-Data-Science-Meetup/