task-03

Task 3: Asking the right questions

Background

Learning how to ask interesting questions takes time. As data scientists we need to learn how to ask questions that data can answer. Note that the reading on data transformation below is necessary for the case study for this week and may be the most important reading of the semester to fully understand

• Back or Course Website

Reading

This reading will help you complete the tasks below.

• o Computational Thinking
• o Optional Reading for new programmers
• o Creating Questions for your project (watch the videos that are free)
• o Python for Data Science - Data transformation

Tasks

• Take notes on your reading of the specified ‘R for Data Science’ chapter in a marimo notebook.
• Develop a few novel questions that data can answer
  • Get feedback from 5-10 people on their interest in your questions and summarize this feedback
  • Find other examples of people addressing your question
  • Present your question in our slack channel to get feedback from one of the full-time data scientists on the quality of the question and if it can be addressed in 2-months.
• Create a marimo notebook that has your report
  • Have a section for each question
  • Export your notebook to HTML and post the resulting .html file to slack for feedback

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