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130 lines
4.5 KiB
130 lines
4.5 KiB
# What Is Data Science?
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## Lesson Objectives
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1. Talk About Each Other
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1. Describe What Data Science Is
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1. Describe the Qualities Of A Data Scientist
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1. Describe the Data Science Workflow
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## Talk About Each Other
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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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## Describe What Data Science Is
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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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## Describe the Qualities Of A Data Scientist
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### Exercise
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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
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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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## Describe the Data Science Workflow
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### Self Assessment on Data Science Skills
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For a given class size:
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- how many people will rate themselves strongest in Programming Skills?
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- how many people will rate themselves strongest in Math and Statistics Knowledge?
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- how many people will rate themselves strongest in Business Sense?
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- how many people will rate themselves strongest in Domain Knowledge?
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- how many people will rate themselves strongest in Communication Skills?
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What to do:
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1. 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.
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1. We will then use the data to show how simple statistics in action are part of the data science workflow.
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| Skill | Value |
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| --- | --- |
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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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### The Data Science Workflow
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1. Identify the problem
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- what are we trying to do?
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- ask questions
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- form hypothesis
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1. Acquire the data
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- get data in its raw form
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- scraping the data from a website
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- downloading a file
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- reading a book/article
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1. Parse the data
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- format the data so that it's all the same
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1. Mine the data
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- collect information from the data
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1. Refine the data
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- clean the data up
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- discard outliers, etc
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1. Build a data model
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- figure out a formula that represents what we are trying to learn
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1. Present the results
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- visualize the results
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1. Deploy and validate
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- create a site
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- publish findings
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### Your Turn: The Data Science Workflow
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You are a junior data scientist at Amazon. Your boss asks you about the leading indicators that a user will make a new online purchase. How would you go about solving this question?
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1. Identify the problem: What do you think are the indicators?
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1. Acquire Data: What could we do first here? What are some considerations we should make?
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1. Parse Data: How do you format the data so it is all the same?
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1. Mine and Refine: What calculations/transformation do you recommend doing? How do you determine the presence of outliers?
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1. Data Model: What attributes would you include in the modeling stage? How do you know if the model is performing well?
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1. Present Results: Who is your audience? What is the best way to present your results?
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1. Deploy and Validate: How would this be shared with the community? How will it be validated?
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