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Data Science with Python (Month)

This one-month, Python-based course introduces and equips students with the essential skills of a data scientist which include data collection, cleanup, transformation, analysis, and visualization. Students will write algorithms, tell data stories, and build statistical models using Python libraries.

Overview & Highlights

High School
Contact Hours

Course Overview

To view the entire syllabus, click here or click to explore the full course.

The Data Science Life Cycle
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 using measures of central tendency and spread and interpreting and summarizing the results.
Data Science for Change
Students will use and analyze data to better understand a problem, measure the scope of a problem, or understand how people are affected by the problem. They will learn more about cleaning a dataset and filtering by column, rows, and conditions.
What's Next?
Students explore the next chapter in learning about data science and the careers that are available and growing.

Offline Handouts

Demo Programs

Explore programs that your students will build throughout this course!

Course Resources

Here are a few examples of teacher resources and materials to use in the Data Science with Python (Month) course

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