|
|
|
@ -39,3 +39,21 @@ Let's talk through the following questions in groups:
|
|
|
|
3. What is your field of expertise?
|
|
|
|
3. What is your field of expertise?
|
|
|
|
4. Do you use tools such as Excel, Stata, R, or Python?
|
|
|
|
4. Do you use tools such as Excel, Stata, R, or Python?
|
|
|
|
5. Where are you in the intersection of these skills?
|
|
|
|
5. Where are you in the intersection of these skills?
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
## Possible Answers: Qualities Of A Data Scientist And You
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
- Ask good questions:
|
|
|
|
|
|
|
|
- What is required?
|
|
|
|
|
|
|
|
- How are results evaluated? (measures of success)
|
|
|
|
|
|
|
|
- What do we currently know? (existing data)
|
|
|
|
|
|
|
|
- What has happened? (descriptive analytics)
|
|
|
|
|
|
|
|
- What will happen (if)? (predictive analytics)
|
|
|
|
|
|
|
|
- What to do to achieve what we require? (insight)
|
|
|
|
|
|
|
|
- Define and test a hypothesis/run experiments.
|
|
|
|
|
|
|
|
- Scrape, & sample business relevant data.
|
|
|
|
|
|
|
|
- Manipulate, sanitize, and wrangle data.
|
|
|
|
|
|
|
|
- Visualize data.
|
|
|
|
|
|
|
|
- Understand data relationships.
|
|
|
|
|
|
|
|
- Tell the machine how to learn from data.
|
|
|
|
|
|
|
|
- Create data products that deliver actionable insight.
|
|
|
|
|
|
|
|
- Tell relevant business stories from data.
|
|
|
|
|
