QuantHub
QuantHub
SupportTeacher Resources & Quick Links
Access everything you need to support your students and advance your own professional development.
Discover Programs
Join the Data Ambassadors Program
Connect with a national network of educators
Earn Teams PD Credit
Professional development with verified credit
Explore Student Internships
Real-world opportunities for your students
View Course Catalogue
Full overview of available modules
Watch this quick video to see how to navigate AI generated content and introduce these concepts to your students.
Curriculum with Demonstrated Rigor
Hear from Fellow Educators
Discover how educators are using these tools to enhance learning and bring real-world skills into the classroom.
Practical AI Fluency
5.0
QuantHub is an exceptional AI ethical foundations learning tool. Its clear, modular design helps students progress quickly while giving faculty meaningful insight into their understanding and development.
Uma Gupta
Associate Professor, USC Upstate
More Clarity for Students
5.0
Since adopting QuantHub, I haven’t had a single student knocking on my door saying they don’t understand the material. Previously, Excel questions alone consumed my office hours.
Greg Cottrell
Senior Instructor, University of Alabama
Faculty-Driven AI Learning
5.0
QuantHub’s modules put faculty in the driver’s seat—flexible enough to fit our courses while delivering practical AI foundations. Makes it easy to bring AI into the classroom.
Dr. Shani Robinson
Dean, Sam Houston State University
Adaptable AI Curriculum
5.0
What we’ve really enjoyed about QuantHub is its modular design—we can select the AI modules we need and easily integrate them into existing courses. It’s been highly effective in bringing AI into our curriculum.
Jeffrey Stinson
Dean, USC Upstate
Newsletter
Excellence Data and AI Fluency for K12 Education – Monthly Newsletter.
Teams PD Opportunities
Build your confidence in data literacy and earn professional development credit through our specialized educator courses.
Course: Data Literacy Learning Path: Data Citizen
Description
Build
foundational
data literacy
including
identifying data
types, quantity,
and ethics.
Key Skills
Data literacy,
data types,
ethics
Hours
4
PS #
539090
Course: Visual Data Literacy Learning Path: Data Citizen
Description
Learn how to read, interpret, and understand charts and visual data structures.
Key Skills
Chart reading, chart types
Hours
4
PS #
539107
Course: Framing a Data Problem Learning Path: Data Citizen
Description
Develop skills to design statistical studies and define data problems.
Key Skills
Statistical study design
Hours
3
PS #
539136
Course: Data Analysis Learning Path: Data Citizen
Description
Explore distributions, correlations, and key statistical measures.
Key Skills
EDA, correlation, distributions
Hours
5
PS #
539135
Course: Exploring Data Tools Learning Path: Data Citizen
Description
Introduction to tools like SQL, spreadsheets, and Python for data work.
Key Skills
SQL, spreadsheets, Python
Hours
4
PS #
539134
Course: Machine Learning Data Tools Learning Path: Data Citizen
Description
Understand machine learning workflows and model development basics.
Key Skills
ML basics, training models
Hours
4
PS #
539133
Course: Data Storytelling Learning Path: Data Citizen
Description
Learn to communicate insights through compelling data narratives.
Key Skills
Visual narratives
Hours
4
PS #
539132
Course: Data Security Learning Path: Data Security
Description
Understand cybersecurity fundamentals including malware, phishing, and data protection.
Key Skills
phishing, protection
Hours
4
PS #
539087
Course: Introduction to AI Learning Path: AI Literacy
Description
Explore AI fundamentals, prompt engineering, and workplace applications.
Key Skills
AI basics, prompt engineering
Hours
5
PS #
539081
Course: AI Foundations Learning Path: AI Foundations
Description
Understand AI systems, history, use cases, and ethical considerations.
Key Skills
AI systems, ethics
Hours
2
PS #
539085
Course: Performance Analytics Learning Path: Excel for Business Analytics
Description
Use Excel to organize data, calculate statistics, and build charts.
Key Skills
Excel charts, stats
Hours
4
PS #
539065
Course: Applying Excel Workplace Tools Learning Path: Excel for Business Analytics
Description
Develop efficiency using Excel formulas and analytical tools.
Key Skills
Formulas, functions
Hours
4
PS #
539074
Course: Inventory Optimization Learning Path: Excel for Business Analytics
Description
Apply Excel functions to analyze and optimize inventory data.
Key Skills
Pivot tables, analysis
Hours
3
PS #
539070
Course: Conducting a Survey and Summarizing Data Learning Path: Applied Data Science
Description
Design surveys, analyze results, and communicate findings.
Key Skills
Surveys, analysis
Hours
5
PS #
539127
Course: Applying Probability Learning Path: Applied Data Science
Description
Learn probability calculations and interpretation techniques.
Key Skills
Probability analysis
Hours
5
PS #
539126
Course: Mean as Equal/Fair Share Learning Path: Applied Data Science
Description
Analyze center and spread while evaluating data quality.
Key Skills
Data quality, summaries
Hours
5
PS #
539111
Course: Inference about Association Learning Path: Applied Data Science
Description
Use sampling and inference to analyze relationships.
Key Skills
Sampling, narratives
Hours
5
PS #
539125
Course: Measuring Strength of Association Learning Path: Applied Data Science
Description
Analyze relationships and handle outliers in datasets.
Key Skills
Outliers, analysis
Hours
5
PS #
539129
Course: Comparing Quantitative Variables Learning Path: Applied Data Science
Description
Compare distributions across groups using statistical methods.
Key Skills
Quantitative comparison
Hours
5
PS #
550751
Course: Linear Regression Learning Path: Applied Data Science
Description
Build and evaluate regression models for prediction.
Key Skills
Prediction models
Hours
5
PS #
550731
Course: Predicting a Categorical Variable Learning Path: Applied Data Science
Description
Apply classification techniques to predict categorical outcomes.
Key Skills
Classification
Hours
5
PS #
550754
Course: Time Series Learning Path: Applied Data Science
Description
Analyze trends and patterns over time.
Key Skills
Temporal analysis
Hours
5
PS #
550755
Course: Cluster Analysis Example Learning Path: Applied Data Science
Description
Explore clustering techniques for grouping data.
Key Skills
Clustering models
Hours
5
PS #
50752
View Spring Registration Details
Access important dates, schedules, and registration information.
Enroll in Teams PD
Start your learning journey by enrolling in our professional development courses.