The document provides steps for starting to think like a data scientist without needing a technical background. It outlines a 6 step process: 1) Start with an interesting work-related question, 2) Identify relevant data sources, 3) Collect the data, 4) Modify your approach as needed, 5) Analyze the data to answer your original question, and 6) Repeat the process by posing new questions. The goal is to open your eyes to data opportunities and insights through an iterative learning process.

1. How to start thinking like a
Data Scientist
By Thomas C. Redman

2. Interesting
insights

3. You don’t have to
be a data scientist
or statistician to
tease useful
insights from data.
Become Data Literate
You just need to
open your eyes to
the million data
opportunities.

4. STEPS:
1.Start with
something that
interests or
bothers you at
work.

5. 2.Think through the
data that can help
answer your
questions, and
develop a plan
accordingly.
3. Collect the
data. Trust the
data and as you go,
try to find gaps in
data collection.
4. Modify your
definition and
protocol as you go
along.

6. Have you
Discovered an
answer?
5. Now return to the
question that you started
with and develop a
summary.

7. Keep the focus
narrow
Two or three questions at
most.
6. Return to step one,
pose the next group of
questions, and repeat the
process.

8. But don’t stop
there.

10. Keep Exploring

11. Relevance to a
Manager

12. Data Management aids effective and
efficient performance
Good quality data will deliver right information and allow
efficient growth and decision making.

14. Key Asset
Data has immense power and can give prompt control.

15. Thank You!