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Session 8 Study Guide: Your Data Project

Data Science for Young Minds — Grade 3

Key Topics

TopicDetails
Brainstorming topics you are curious aboBrainstorming topics you are curious about
Turning curiosity into a clear data quesTurning curiosity into a clear data question
CheckingChecking: is this question specific? unbiased? answerable with data?
PlanningPlanning: who will you ask, how many, what method?
Executing your data collection planExecuting your data collection plan
Recording data carefully and consistentlRecording data carefully and consistently
Organizing raw data into a tableOrganizing raw data into a table
Creating a frequency table or tally charCreating a frequency table or tally chart
Choosing the right graph type for your dChoosing the right graph type for your data
Building your graph by hand with careBuilding your graph by hand with care
Adding title, labels, and legendAdding title, labels, and legend
CheckingChecking: can someone else read this without help?
Structuring your presentationStructuring your presentation: question → method → findings → conclusion
Speaking clearly and pointing to your grSpeaking clearly and pointing to your graph
Handling questions from your audienceHandling questions from your audience
ReflectingReflecting: what would you do differently next time?

Lesson Summaries

Lesson 1: Choose Your Question

Pick a topic you genuinely care about and write a clear, specific, data-answerable question.

Lesson 2: Collect and Organize

Go out and gather your data using the methods you planned. Then organize it into tables and tallies.

Lesson 3: Create Your Visualization

Build the graph that tells your data's story. Choose the right type and make it clear.

Lesson 4: Present and Reflect

Share your findings with an audience and reflect on what you learned.

Review Questions

  1. How do you choose a good data project question?
  2. What makes a question 'data project ready'?
  3. How many people should you plan to survey?
  4. What should your plan include?
  5. What should you remember while collecting data?
  6. What do you do right after collecting?
  7. What if something goes wrong during collection?
  8. How do you check your organized data?
  9. How do you choose which graph to make?
  10. What must your graph include?
  11. How do you know if your graph is good?
  12. Should you use a computer or make it by hand?
  13. What should your presentation include?
  14. How do you handle questions from the audience?
  15. What should you reflect on after your project?
  16. What have you learned about data science?