Section Unit 1 Summary
In this unit, we’ve explored:
What data science is and why data literacy matters
Applications of data science across different domains
The basics of CODAP, our data analysis platform
The Community Health sample project and guidelines for your own project
Different data types and classification systems
Ethical considerations in data collection
In Unit 2, we’ll dive deeper into the data investigation process, learning how to formulate meaningful questions and plan our analysis.
Checkpoint 30. Unit 1 Reflection.
Take some time to reflect on what you’ve learned in this unit:
What aspect of data science interests you most and why?
What surprised you about the different types of data and their classifications?
How might data science skills be valuable in your current or future career?
What questions do you have about your project dataset so far?
