Presentation on "HOW TO START THINKING LIKE A DATA SCIENTIST" made as a task for the internship on "DATA ANALYTICS WITH MANAGERIAL APPLICATIONS" under Professor Sameer Mathur, IIM Lucknow. Submitted by TARANG JAIN,DTU

1. HOW TO START
THINKING LIKE A DATA
SCIENTIST
BY: THOMAS C. REDMAN

2. “
FORTUNATELY, YOU DON’T
HAVE TO BE A DATA
SCIENTIST OR A BAYESIAN
STATISTICIAN TO TEASE
USEFUL INSIGHTS FROM
DATA.
”

3. KEY INSIGHTS

4. HOW TO START??
BEGIN WITH
THE BASICS
i.e. PENCIL,
PAPER,
CALCULATOR
AND AN OPEN
MIND!!!

5. AN IMPORTANT CONCEPT
IN ANALYTICS-
FROM VARIATION TO
VISUALIZATION

6. STEPS TO FOLLOW:
START WITH
SOMETHING AROUND
YOU THAT BITHERS
YOU AND FORM A
QUESTION AROUND IT.
THINK ABOUT THE
DATA THAT CAN ASWER
THE QUESTION
WRITE DOWN THE
YOUR PROTOCAL FOR
COLLECTING THE SAID
DATA.

7. CONTINUED…
• IDENTIFY THE GAPS IN DATA COLLECTION
• MODIFY YOUR DEFINITION AND PROTOCOL AS YOU
GO ALONG
• USE APPROPRIATE TOOLS TO ANALYSE AND
UNDERSTAND THE DATA
• RETURN TO THE QUESTION THAT YOU STARTED WITH
AND DEVELOP SUMMARY STATISTICS.

8. MOST IMPORTANT:
ANSWER THE “SO WHAT”
QUESTION.
UNDERSTAND VARIATION
FOR DEEPER INSIGHTS FOR
THE OVERALL PROBLEM.
POSE THE NEXT GROUP OF
QUESTIONS- 2 OR 3 AT
MOST TO KEEP THE FOCUS
NARROW.

9. NO NEED TO
BE DATA
SAVVY,
BEING DATA
LITERATE IS
JUST FINE.

10. RELEVANCE TO A MANAGER IN INDIA

11. SLOWLY BUT STEADILY, DATA
ARE FORCING THEIR WAY
INTO EVERY NOOK AND
CRANNY OF EVERY
INDUSTRY, COMPANY, AND
JOB.

13. “
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.
”

14. DECISION MAKING:
A GOOD DECISION IS
BACKED UP BY DATA
THAT HAS BEEN
EFFECTIVELY
ANALYSED. THUS
DATA ANALYSIS
SKILLS ARE
NECESSARY FOR A
MANAGER.

15. THANK YOU!
BY: TARANG JAIN