How to start thinking like a data scientist insights by shesha

1. HOW TO START
THINKING LIKE A
DATA SCIENTIST
by Thomas C. Redman

2. Slowly but steadily, data are
forcing their way into every
nook and cranny of every
industry, company, and job.

3. Companies without a large and
growing cadre of data-savvy
managers are similarly
disadvantaged.

4. You have to know
concepts in analytics —
from understanding
variation to visualization.

5. #1 INSIGHT
Write down all the relevant
definitions and your protocol for
collecting the data.

6. #1 INSIGHT
Modify your definition and
protocol as you go along and
keep on working with the data.

7. Because you will get to know new things
as you keep on adding data and
interpreting data. So you have to change
accordingly.

8. Good pictures make it easier for you to
both understand the data and
communicate main points to others.

9. #2 INSIGHT
Understanding variation leads to a
better feel for the overall problem,
deeper insights, and novel ideas for
improvement.

10. • Managers who aren’t data savvy, who
can’t conduct basic analyses, interpret
more complex ones, and interact with
data scientists are already at a
disadvantage.

11. Managers therefore have to think
critically and evaluate the data carefully
to get utmost out of it and make better
decisions.

12. After getting basic information from
data ask, “What else does the data
reveal?”

13. If you get more information from the
data , you could find better solutions to
the problem more effectively.

14. THANK-YOU

15. Submitted for internship under professor
Sameer Mathur IIML
By,
Shesasai Venkatesh S
Vasavi College of Engineering