To start thinking like a data scientist, one should observe their surroundings inquisitively and ask questions to collect trustworthy data on a narrow focus. A data scientist needs skills in mathematics, statistics, programming, communication, domain knowledge and soft skills. It's best to start with analyzing something familiar from everyday life that intrigues you, and question why it occurs and look for correlations. For managers in India, it's important to know your employees, customers, and changing business needs in order to help them and identify new opportunities using data.

1. How to Start Thinking
Like a Data Scientist
Thomas C. Redman

2. Prediction
Motivation

3. Observation is the key to being
inquisitive.

4. The more you
observe, the
more
inquisitive
you get and
the more you
research and
analyse.
Keep
repeating
the process.
The focus
should be
narrow rather
than broad.
This enables
the collection
of trustworthy
data

5. Consistency is what you have to
deliver.

6. A Modern Data Scientist needs
to know basically… Everything!

7. Everything
Mathematics and
Statistics
Domain
Knowledge and
Soft Skills
Programming and
Database
Communication
and Visualisation

8. Start with something that matters
to you in your regular life.

9. Its always
good to start
with the basics.
Something that
affects your
everyday life
will always
intrigue you
more.
The key is to
question why
it happens.
Study the
causation, the
correlation and
if there isn’t
any, the lack of
it.

10. Why does it matter to the
Managers in India?

11. Know your Employees

12. Know your
Employees
Managers who
can understand
his subordinates
work and at
times help him
are treasured.

13. KnowyourCustomers

14. Know your
Customers
Its highly possible
that a customer
might not know
how data can
help him meet his
needs. Guide him.

15. KnowyourBusinessNeeds

16. Know your
Business Needs
As your business
evolves, data
provides new
opportunities for
businesses to
grow. Tap them.

17. Analysis by Shloka