LEARNING DATA SCIENCE IN THE
BIG DATA ERA
Ali Syed
@aaalee
GAMERS OF TODAY ARE THE GAME CHANGERS
OF TOMORROW
Next 15 mins…
• Share a couple of observations about “big
data”
• A perspective on what is “data Science”
• Introducing “T...
Image source - Yann Pineill & Nicolas Lefaucheux
Data as a fabric of digital age underpins
all that we do
Data has the potential to
revolutionise the way
business, government, science,
research, social services and
healthcare ar...
We know organisations are
continuously wrestling (game is
on!) with the challenges of
managing and exploiting data.
Consultants and industry analysts urge the data-naive
to wise up to the potential of Big Data
And the one question we are
...
The State of
Big Data in
2014
OMG!!!
According to Gartner, 64% of large enterprises plan to
implement a big data project in 2014, but 85% of the
Fortune 500 wi...
1st Observation
1st Observation
“Big data is here to stay, as it should be. But
let’s be realistic: It’s an important resource for
anyone ...
Data by itself is meaningless.
It’s the skill of the data scientist that
makes the difference.
Dr. Josh Sullivan
Demand fo...
The truth is, that we need more, not less, data
interpretation to deal with the onslaught of
information that constitutes ...
A growing divide between those that realise the potential of that data,
and those with the technical skills to process, an...
2nd Observation
It's not about data,
it's about people.
2nd Observation
It's not about data,
it's about people.
“Big data” has arrived, but big insights have not.
Are we making big data and
data science an uninspiring
ho-hum?
Is ‘data science’ all hype and no substance?
“‘Data Scientist’ is a Data Analyst who lives in California”
"A data scientis...
WHAT IS DATA SCIENCE?
“Taking a hunch you have about the world and pursuing
it in a structural, mathematical way to unders...
DATA SCIENCE IS AN EMERGING AND MULTIDISCIPLINARY WAY OF
APPLYING OUR CURIOSITY, INTUITION AND SCIENTIFIC METHODS
TO CREAT...
STATISTICS
ARTIFICIAL INTELLIGENCE
SOFTWARE ENGINEERING
DOMAIN EXPERTISE
DATABASE DESIGN
& DEVELOPMENT
MATHEMATICS
DATA SCIENCE
STATISTICS
ARTIFICIAL INTELLIGENCE
SOFTWARE ENGINEERING
DOMAIN EXPERTISE
DATABASE DESIGN AND
DEVELOPMENT
MATH...
SOCIOLOGY
PSYCHOLOGY
ORGANIZATION
BEHAVIOUR
HUMAN COMPUTER
INTERACTION
PROGRAMMING
STRATEGY &
PERFORMANCE
MANAGEMENT
GAMIFICATION
SOCIOLOGY
PSYCHOLOGY
ORGANIZATION
BEHAVIOUR
HUMAN COMPUTER
INTERACTION
PROGRAMMING
STRATEGY & PERFORMANCE
MAN...
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
Ability to learn new skills is the most important skill
“OUR AGE REVERES THE SPECIALIST BUT HUMANS ARE NATURAL
POLYMATHS, ...
What is Persontyle?
Persontyle is a people focused social enterprise obsessed with
helping individuals, organizations and ...
The School of Data Science specializes in helping you
learn Data Science in simple human terms.
www.persontyle.com/school
Whether you are an established professional or new to the field
of Data Science, our training sh...
LEARN DATA SCIENCE TO ADVANCE YOUR KNOWLEDGE AND CAREER
BEGINNER
INTRODUCTION TO
MACHINE LEARNING
12 JUNE 2014 — LONDON
Du...
ALI SYED
EMAIL
hello@persontyle.com
JOIN THE CONVERSATION:
@aaalee
@persontyle
@schooltds
WWW.PERSONTYLE.COM
Upcoming SlideShare
Loading in …5
×

HUG 13 May 2014 - Learning Data Science in the Big Data Era

0 views
990 views

Published on

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?

0 Comments
1 Like
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total views
0
On SlideShare
0
From Embeds
0
Number of Embeds
2
Actions
Shares
0
Downloads
0
Comments
0
Likes
1
Embeds 0
No embeds

No notes for slide

HUG 13 May 2014 - Learning Data Science in the Big Data Era

  1. 1. LEARNING DATA SCIENCE IN THE BIG DATA ERA Ali Syed @aaalee
  2. 2. GAMERS OF TODAY ARE THE GAME CHANGERS OF TOMORROW
  3. 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. 4. Image source - Yann Pineill & Nicolas Lefaucheux Data as a fabric of digital age underpins all that we do
  5. 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. 6. We know organisations are continuously wrestling (game is on!) with the challenges of managing and exploiting data.
  7. 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. 8. The State of Big Data in 2014 OMG!!!
  9. 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. 10. 1st Observation
  11. 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. 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. 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. 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. 15. 2nd Observation It's not about data, it's about people.
  16. 16. 2nd Observation It's not about data, it's about people. “Big data” has arrived, but big insights have not.
  17. 17. Are we making big data and data science an uninspiring ho-hum?
  18. 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. 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. 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. 21. STATISTICS ARTIFICIAL INTELLIGENCE SOFTWARE ENGINEERING DOMAIN EXPERTISE DATABASE DESIGN & DEVELOPMENT MATHEMATICS
  22. 22. DATA SCIENCE STATISTICS ARTIFICIAL INTELLIGENCE SOFTWARE ENGINEERING DOMAIN EXPERTISE DATABASE DESIGN AND DEVELOPMENT MATHEMATICS
  23. 23. SOCIOLOGY PSYCHOLOGY ORGANIZATION BEHAVIOUR HUMAN COMPUTER INTERACTION PROGRAMMING STRATEGY & PERFORMANCE MANAGEMENT
  24. 24. GAMIFICATION SOCIOLOGY PSYCHOLOGY ORGANIZATION BEHAVIOUR HUMAN COMPUTER INTERACTION PROGRAMMING STRATEGY & PERFORMANCE MANAGEMENT
  25. 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. 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. 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. 28. The School of Data Science specializes in helping you learn Data Science in simple human terms.
  29. 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. 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. 31. ALI SYED EMAIL hello@persontyle.com JOIN THE CONVERSATION: @aaalee @persontyle @schooltds WWW.PERSONTYLE.COM

×