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Data Science with Python - Unit
This lesson sequence offers students and teachers a way to develop data science skills using the Python programming language. Through a mix of “plugged” and “unplugged” activities, students engaging with the lessons in this sequence will learn about different types of data, create and evaluate data visualizations, and identify patterns in data sets using descriptive statistics, modeling, and other techniques. At the end of the sequence, students generate an original research question based on th
9th - 12th
Computer Science - Technology, Other (Math), Statistics
Python Data-Viz Crash Kit (HS) | CSV → Plot → Trendline → Insight
Students load a CSV, build scatter/line/bar charts with pandas + matplotlib, add a trendline and correlation, and write a 3-sentence CER insight— no installs when run in Google Colab. Includes mini-labs for Sports, Environment, School Survey, and Study Hours with starter code, virtual datasets, and answer keys. Standards: CSTA 3B-AP-10/14; CCSS HS-S.ID. Python-Data-Viz-Crash-Kit (1) What’s Included Teacher + Student Editions with step-by-step code cells and cheat sheets (load CS
9th - 12th
Algebra, Computer Science - Technology, Statistics
Also included in: Cross-Curricular Data & Evidence Bundle: Science, Stats & Python
Python software Secondary Data Analysis Workshop (Introductory/AP Statistics)
This handout is intended for those interested in teaching/learning basic introductory statistics concepts to analyze real data. Students will learn how to tell a story using secondary data analysis. The handout is for Python and the US Longitudinal Study of Adolescent Health data set. For handouts, the data set code book and raw data file, a PowerPoint to accompany the handout, or questions please email kristin.flaming@gmail.com or ldierker@wesleyan.edu. This handout was developed as a condensed
9th - 12th, Higher Education
Statistics
Data Skills Add-On: Statistics & Graphing in Math, CS & Science
Boost student confidence with quick, ready-to-use data skills activities—perfect for stats, math, computer science, or science crossover lessons. This add-on provides mini-labs and crash tools that let students practice graphing, correlation, regression, and chi-square analysis using Google Sheets or Python Colab. What’s inside Sports Analytics (Correlation/Regression): analyze player/team performance, scatterplots, r-values, and trend lines. Genetics Chi-Square Mini-Labs: model expected vs.
9th - 12th
Algebra, Computer Science - Technology, Statistics
Translation Code
As part of our NSF-funded passion-driven statistics project, we have just started to share more widely our “translation code” aimed at supporting folks in learning code-based software and in moving more easily between them. The pdf includes all of the basic syntax for managing, displaying and analyzing data, translated across SAS, R, Python, Stata and SPSS. http://bit.ly/PDSTranslationCode. For more information about our warm and welcoming data-driven curriculum, check out https://passiondrive
6th - 12th, Adult Education, Higher Education
Computer Science - Technology, Statistics
CCSS
6.SP.A.1
, 6.SP.A.2
, 6.SP.A.3
+55
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