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2.2 KiB
2.2 KiB
Introduction to Data Science
Lesson Objectives
- Intros
- What is Data Science?
Intros
- Here's a bit about me
- This class can be about networking, too! Tell us about yourself!
- What is Your Name?
- What Brings You To GA?
- What Are Your Current Activities?
What is Data Science?
What is it, exactly?
- A set of tools and techniques used to extract useful information from data.
- An interdisciplinary, problem-solving oriented subject
What does it consist of?
- Programming skills
- Math and Statistics knowledge
- Business sense
- Domain Knowledge
- Communication Skills
Your Turn: Qualities Of A Data Scientist And You
Let's talk through the following questions in groups:
- What do you think are the most important qualities for a data scientist?
- Can you think of any other quality/skill we have not mentioned?
- What is your field of expertise?
- Do you use tools such as Excel, Stata, R, or Python?
- 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.
Self Assessment on Data Science Skills
- Create a table for the qualities of a data scientist and then rate yourself on each of these skills on a scale from 1-10.
- We will then use the data to show how simple statistics in action are part of the data science workflow.
|Skill|Value| |Programming skills|| |Math and statistics knowledge|| |Business sense|| |Domain Knowledge|| |Communication Skills||
