This presentation highlights, how to start thinking like a data scientist, and how this is relevant to a manager in india

1. How to Start Thinking Like a
Data Scientist
Nishant Kumar

2. Introduction
Name of the : How to start thinking like a
article Data Scientist
Authors : Thomas C. Redman
Edition : November 2013
Source : Harvard Business Review

3. Who are Data Scientist ?
Data Scientists are the people who
understands how to fish out the answers
to Business Questions from todays
Tsunami of unstructured data.

4. Why become a Data
Scientist ?

5. Why become a Data
Scientist ?
Data Scientist are
the “Sexiest “ one .

6. What a Data Scientist do?
Tools are only
part of the
picture, “Data
Science is much
more”

7. • In addition to being a set of tools, Data Science is also
a set of processes and concepts that acts as a guide for
making decisions & progress within a data centric
project.
“Thinking like a Data
Scientist” deals with
how these methods &
set of tools relate to one
another, & how they
can be used in concert .

8. Who can be called a Data
Scientist ?
I am a developer and I
work with data , Am I a
Data Scientist?

9. • Developer & data scientist share many skills, and overlap
professionally to large scale .
• However unlike developers, data scientists work with
system that are uncertain, unknown or are not well
defined at the start .
In short data scientist often deals with probabilities &
not absolutes .
No the way a developers & data scientists works with data differs .

10. Thinking like a Data
Scientist .
“Awareness” is the
secret weapon of
the successful data
scientist.

11. Thinking like a Data
Scientist .
“Out of box” thinking
is other key feature
that a data scientist
should possess.

12. Business value of a Data
scientist .

13. No doubt, data scientists are asset to an organisation, &
play vital role in company’s sales. They can help
manager in achieving targets based on previous
heuristic approach to data.

14. Thinking like a data scientist can help a manager
in viewing life practically, governing things based
on analysis of practical data.

15. As a data scientist
always deals with
uncertainty, they can
avoid undesirable
circumstances which
can arise as an event
unfolds .

16. • Thinking like a data scientist will help illuminate
understandings of the field whether you’re already
experienced data scientist, a developer, a statistician or
someone who works with a data scientist .

17. THANK YOU