Ali Syed talk @ May Hadoop MeetUp 13 May 2014. "Learning data science in the big data era" - Introduction to Persontyle and the recently launched School of Data Science (Ali Syed, Founder @Persontyle) The mass scale datafication has led to an explosion of the data available to businesses and individuals. Yet there is a growing divide between those that realize the potential of that data, and those with the technical skills to process, analyze and predict from it. Is it absolutely necessary for all of us to acquire skills to deal with data and make sense of it?

1. LEARNING DATA SCIENCE IN THE
BIG DATA ERA
Ali Syed
@aaalee

2. GAMERS OF TODAY ARE THE GAME CHANGERS
OF TOMORROW

3. Next 15 mins…
• Share a couple of observations about “big
data”
• A perspective on what is “data Science”
• Introducing “The School of Data Science”
• Q & A

4. Image source - Yann Pineill & Nicolas Lefaucheux
Data as a fabric of digital age underpins
all that we do

5. Data has the potential to
revolutionise the way
business, government, science,
research, social services and
healthcare are carried out.
The mass scale datafication has led to an
explosion of the data.

6. We know organisations are
continuously wrestling (game is
on!) with the challenges of
managing and exploiting data.

7. Consultants and industry analysts urge the data-naive
to wise up to the potential of Big Data
And the one question we are
all asking;
“Is Big Data a vague term for
a massive phenomenon that has
rapidly become an obsession
with technology providers,
governments and the media?”

8. The State of
Big Data in
2014
OMG!!!

9. According to Gartner, 64% of large enterprises plan to
implement a big data project in 2014, but 85% of the
Fortune 500 will be unsuccessful in doing so.

10. 1st Observation

11. 1st Observation
“Big data is here to stay, as it should be. But
let’s be realistic: It’s an important resource for
anyone analysing data, not a silver bullet.”
GARY MARCUS and ERNEST DAVIS

12. Data by itself is meaningless.
It’s the skill of the data scientist that
makes the difference.
Dr. Josh Sullivan
Demand for analytics skills
outstrips supply in all sectors.
A LOT MORE DATA THAN QUALIFIED TALENT.
Finding talent in Big Data is very difficult.
Retaining talent in Big Data is even harder.
― Dr. Usama Fayyad
“There is a storm approaching on the
Big Data talent front”
Tom Davenport

13. The truth is, that we need more, not less, data
interpretation to deal with the onslaught of
information that constitutes big data. The bottleneck
in making sense of the world’s most intractable
problems is not a lack of data, it is our inability
to analyse and interpret it all.
Christian Madsbjerg

14. A growing divide between those that realise the potential of that data,
and those with the technical skills to process, analyse and predict from it.

15. 2nd Observation
It's not about data,
it's about people.

16. 2nd Observation
It's not about data,
it's about people.
“Big data” has arrived, but big insights have not.

17. Are we making big data and
data science an uninspiring
ho-hum?

18. Is ‘data science’ all hype and no substance?
“‘Data Scientist’ is a Data Analyst who lives in California”
"A data scientist is someone who is better at statistics than any software
engineer and better at software engineering than any statistician."
“A data scientist is a business analyst who lives in New York.”
"A data scientist is a statistician who lives in San Francisco."
"Data Science is statistics on a Mac."

19. WHAT IS DATA SCIENCE?
“Taking a hunch you have about the world and pursuing
it in a structural, mathematical way to understand
something new about the world.”
Hilary Mason

20. DATA SCIENCE IS AN EMERGING AND MULTIDISCIPLINARY WAY OF
APPLYING OUR CURIOSITY, INTUITION AND SCIENTIFIC METHODS
TO CREATE VALUE FROM DATA THAT SOLVES
OUR MOST DIFFICULT PROBLEMS.
“Data science is not just a rebranding of statistics or
machine learning but rather a field unto itself.”
Doing Data Science
Rachel Schutt and Cathy O'Neill.

21. STATISTICS
ARTIFICIAL INTELLIGENCE
SOFTWARE ENGINEERING
DOMAIN EXPERTISE
DATABASE DESIGN
& DEVELOPMENT
MATHEMATICS

22. DATA SCIENCE
STATISTICS
ARTIFICIAL INTELLIGENCE
SOFTWARE ENGINEERING
DOMAIN EXPERTISE
DATABASE DESIGN AND
DEVELOPMENT
MATHEMATICS

23. SOCIOLOGY
PSYCHOLOGY
ORGANIZATION
BEHAVIOUR
HUMAN COMPUTER
INTERACTION
PROGRAMMING
STRATEGY &
PERFORMANCE
MANAGEMENT

24. GAMIFICATION
SOCIOLOGY
PSYCHOLOGY
ORGANIZATION
BEHAVIOUR
HUMAN COMPUTER
INTERACTION
PROGRAMMING
STRATEGY & PERFORMANCE
MANAGEMENT

25. FUTURE
????
I DON’T KNOW
I DON’T KNOW
I DON’T KNOW
I DON’T KNOW
I DON’T KNOW
I DON’T KNOW

26. Ability to learn new skills is the most important skill
“OUR AGE REVERES THE SPECIALIST BUT HUMANS ARE NATURAL
POLYMATHS, AT OUR BEST WHEN WE TURN OUR MINDS TO MANY THINGS”
Robert Twigger

27. What is Persontyle?
Persontyle is a people focused social enterprise obsessed with
helping individuals, organizations and communities learn and
apply Data Science to deliver real and meaningful value.
Born from the idea of creating a platform for the people, by the
people to share passion, knowledge, theory and practices of
analysing data scientifically.

28. The School of Data Science specializes in helping you
learn Data Science in simple human terms.

29. www.persontyle.com/school
Whether you are an established professional or new to the field
of Data Science, our training shall provide the expertise you
need to make sense of the data.
www.persontyle.com/schoolwww.persontyle.com/school www.persontyle.com/school

30. LEARN DATA SCIENCE TO ADVANCE YOUR KNOWLEDGE AND CAREER
BEGINNER
INTRODUCTION TO
MACHINE LEARNING
12 JUNE 2014 — LONDON
Duration: 1 DAY
Amazing course to develop basic
understanding of several Machine
Learning methods that solve
different real-world tasks, from
document classification to image
recognition. Don’t miss the
opportunity to learn what is
machine learning.
ADVANCED
CLUSTER ANALYSIS
WITH R
16 JUNE 2014 — LONDON
Duration: 3 DAY
Great course to learn how Cluster
Analysis is used for exploratory data
analysis, data summation,
ordination, and predictive modelling.
In depth review of both clustering
theory and applications. Best
professional course available on this
topic in the market.
FOUNDATION
INTRODUCTION TO
DATA VISUALISATION
11 JULY 2014 — LONDON
15 JULY 2014 — EDINBURGH
Duration: 2 DAY
Learn how raw data can be turned
into stories. Whether you’re an
analyst crunching numbers, a data
scientist needing to communicate in a
data-driven way, or a journalist
responsible for data analysis, this
course will give you the tools to tell
stories with data.
FOUNDATION
GET STARTED IN
MACHINE LEARNING
21 July 2014 — LONDON
Duration: 5 DAY
Best course to learn building blocks of
practical machine learning. Course is
designed to help you learn basic
principles needed to understand and
apply machine learning models and
methods. Well-suited to machine
learning beginners or those with
some experience.
TO REGISTER VISIT http://schoolds.eventbrite.co.uk
Spaces are limited. We encourage you to register as soon as you can.

31. ALI SYED
EMAIL
hello@persontyle.com
JOIN THE CONVERSATION:
@aaalee
@persontyle
@schooltds
WWW.PERSONTYLE.COM