project help build a portfolio forces you to do analysis (usually) and communicate your results more interesting to grade than an exam

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

Course Project: Your Only Assignment

Why a Project

• A project help build a portfolio
• It forces you to do analysis (usually) and communicate your results
• Far more interesting to grade than an exam

“It doesn’t matter how great your analysis is unless you can explain it to others: you need to communicate your results.”

R for Data Science

Hadley Wickham & Garrett Grolemund

General Project Guidelines

1. Find a Data Source and Analyze it
   • You can search Kaggle or other dataset repositories)
   • Work*
   • Make your own
     • Use an API (like the twitter API) to gather data (Not easy)
     • Web Scraping (hard)
   • Improve on Previous Analysis Projects
2. Other Python related options (pick any)
   • Code a ML Algorithm from scratch
   • Improve a Python project from another class (doesn’t have to be analysis related)
   • Translate your old code to Python

General Project Guidelines

• Choose option A or B

 

Grading

• Due to the nature of data analytics being a bit subjective and people being able to choose between different project options, anyone who turns in a project will get an A (95%) in this
• Students may get up to an A+ (100%) if the project is
• I will still provide feedback and areas for improvement on your

General Project Advice Option A

• The following couple of slides are just

Option A: Task 1

• Make a problem statement
• After picking your dataset, it is important to figure out what problem you are trying to

 

Option A: Task 2

• Identify who may use your result
• In other words, figure out what is the potential usefulness of your analysis

 

Option A: Task 3

• Make some preliminary goals for your project (what may come out of your work)

 

Option A: Task 4

 

• Think of some Success Metrics for your analysis
  • For machine learning tasks, accuracy can help
  • Hypothesis Testing
• How do we know it works/improves

Option A: Task 5

• Mention any uncertainty/risks that may be a challenge to complete your
  • Example: For machine learning tasks, it helps to have more than 250

 

Option B

1. Python related options (pick any)
   • Code a ML Algorithm from scratch
   • Improve a Python project from another class
   • Translate your code to Python

 

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