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60 lines
1.8 KiB
60 lines
1.8 KiB
# Introduction to Data Science
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## Lesson Objectives
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1. Intros
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1. What is Data Science?
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## Intros
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1. Here's a bit about me
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1. This class can be about networking, too! Tell us about yourself!
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- What is Your Name?
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- What Brings You To GA?
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- What Are Your Current Activities?
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## What is Data Science?
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What is it, exactly?
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- A set of tools and techniques used to extract useful information from data.
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- An interdisciplinary, problem-solving oriented subject
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What does it consist of?
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- Programming skills
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- Math and Statistics knowledge
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- Business sense
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- Domain Knowledge
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- Communication Skills
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## Your Turn: Qualities Of A Data Scientist And You
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Let's talk through the following questions in groups:
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1. What do you think are the most important qualities for a data scientist?
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2. Can you think of any other quality/skill we have not mentioned?
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3. What is your field of expertise?
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4. Do you use tools such as Excel, Stata, R, or Python?
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5. Where are you in the intersection of these skills?
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## Possible Answers: Qualities Of A Data Scientist And You
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- Ask good questions:
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- What is required?
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- How are results evaluated? (measures of success)
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- What do we currently know? (existing data)
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- What has happened? (descriptive analytics)
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- What will happen (if)? (predictive analytics)
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- What to do to achieve what we require? (insight)
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- Define and test a hypothesis/run experiments.
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- Scrape, & sample business relevant data.
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- Manipulate, sanitize, and wrangle data.
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- Visualize data.
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- Understand data relationships.
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- Tell the machine how to learn from data.
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- Create data products that deliver actionable insight.
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- Tell relevant business stories from data.
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