Data Science with Sheets
- Level High School
- Contact Hours 20
- Timeframe Month
In this spreadsheet-based, one-month Intro to Data Science course, students will understand how to responsibly use the Data Science Life Cycle in order to deliver meaningful and accessible information.
To view the entire syllabus, click here or click to explore the full course.
MODULES - 5
Students will learn about the role of a data scientist and the iterative steps in the data science life cycle. This module serves as an introduction to the field of data science.
Students will learn and apply the process of the data science life cycle. This includes asking statistical questions, collecting or obtaining reliable raw data, analyzing the data, and summarizing the results.
Students will explore ethical considerations in the field of data science. This module focuses on teaching students about data privacy and how to work with data responsibly.
In this module, Students will use and analyze data to tell a data story. For their final project, they will create a visually appealing infographic that displays important data visualizations. The infographic will also tell a story based on their interpretation after exploring, analyzing, and visualizing the data.
Students will explore the next chapter in learning about data science and the careers that are available and growing.
Explore programs that your students will build throughout this course!
Dive into the basics of programming and learn how to lead a successful introductory computer science class. This course covers everything from learning effective debugging methods to teaching computer science in a blended classroom. Perfect for teachers with limited or no programming experience.
View Units CodeHS PD Options| Standards Framework | Alignment |
|---|---|
| Arkansas Computing with Data | 49% View |
| Certiport Computational Thinking | 38% View |
| Arkansas Introduction to Computer Science | 35% View |
Create and organize Assignments in any CodeHS course that you're teaching. You can even add custom assignments to pre-existing CodeHS courses.
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No. This is the spreadsheet-based data science course. Students work through the Data Science Life Cycle using spreadsheets rather than writing code, which makes it usable in classes where nobody has programmed before.
What data science is, the Data Science Life Cycle, data ethics, and data storytelling, closing with a What's Next? unit.
Using the Data Science Life Cycle responsibly to deliver meaningful and accessible information. Ethics and accessibility are treated as part of the method rather than an add-on: there is a dedicated Data Ethics unit.
About 20 contact hours, sized to run over a month rather than a term.
Same life cycle, no code. Data Science with Python (Month) is the same length but works in Python; the full Data Science with Python is 85 hours and adds statistical modelling with Python libraries. This one uses spreadsheets throughout.
