QuantHub
QuantHub
SupportRepresentation Across Alabama
Alabama Counties by School Year
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Preparing the next generation for an AI-driven future
DS4E’s State of the Fields 2025 Report concluded that only ~139k of 50 million K-12 students in the US have access to data science and AI education.
That’s roughly 0.28%, meaning that 99% of students currently do not have access to data science and AI education.
QuantHub aspires to change those numbers, offering __ number of modules geared towards introducing AI, Data Science, and Data Literacy concepts to students in Alabama, and __ learning pathways specifically designed to equip educators with the tools needed to teach these concepts to students.
Data Science for Everyone’s State of the Field Report
139,089+ students
enrolled in dedicated data science courses
277+
schools and 104 school districts
delivering data science education
2,571
educators
trained to teach data science and related topics
71,593
hours
of reported Professional Development Credit earned in Data Science education skillsets
Of these numbers, QuantHub’s platform specifically contributed:
10,000 students
enrolled in dedicated data science courses
3,000 teachers
rained in data science modules for educators
100+ schools
trained to teach data science and related topics
QuantHub’s expansion will focus on bringing data science and AI education to rural and underserved communities across Alabama, reaching students beyond existing access points.
Preparing for the Next Generation of an AI-Driven Future
Earn APLDS Clock Hours
QuantHub offers two unique pathways that qualify for APLDS credit hours. The article below highlights the benefits of completing QuantHub modules as part of your APLDS credit requirements.
01
Complete APLDS clock hours
at your own pace through flexible learning that can be completed from the convenience of your home.
02
Learn how to use modern AI tools
to simplify delegation tasks, streamline school planning, and automate time-consuming administrative processes.
03
Gain industry-relevant certifications
to accelerate your career while empowering your school, educators, and students with the latest curriculum and future-ready skills.
Make a lasting impact at your school by completing a capstone project related to your field of study in data analytics. These projects are designed to improve the efficiency of internal school workflows and apply data analytics skills to identify operational trends and areas for improvement.
The table below illustrates the two available APLDS pathways, including descriptions of the associated requirements and capstone project details.
Pathway 1:
Foundations of Data Literacy
What You’ll Complete:
- 3 Levels of learning in the QuantHub platform
- One case study using your school’s data
Capstone Project:
- Work directly with your school’s ACT or ACAP data to analyze patterns, create visualizations, identify achievement gaps, and develop actionable improvement strategies.
Pathway 2:
Advancing Data Analysis for School Improvement
What You’ll Complete:
- Levels of learning in the QuantHub platform
- Two case studies using school data
- A comprehensive capstone project
Capstone Project:
- Work directly with your school’s ACT or ACAP data to analyze patterns, create visualizations, identify achievement gaps, and develop actionable improvement strategies.
Loved by School Districts Across
Newsletter
Certified Curriculum Proven to Enhance Student Aptitude in Data Concepts
The U.S. Department of Education conducted a trial-based research study concluding that QuantHub meets ESSA Level 3 evidence standards.
The U.S. Department of Education conducted a study evaluating students’ aptitude and understanding of data science tools and concepts before and after using the QuantHub platform for three weeks.
During this period, QuantHub’s learning modules introduced students to key topics including machine learning, large language models (LLMs), neural networks, algorithms, and data analysis.
To measure the program’s impact, researchers surveyed students both before and after using the platform. Students responded to a series of statements about their perceptions and opinions of using data in careers, and everyday life. Confidence responses were measured using a five-point scale, where 5 indicated “Strongly Agree” and 1 indicated “Strongly Disagree.”
The students agreement increased in the following questions:
- +0.81 "I can succeed in a job that requires me to use and analyze data"
- +0.85 "I am interested in being able to communicate data insights to others"
- +0.77 "I am interested in learning data analysis"
- +0.76 "I use data in my everyday life"
- +0.42 "I can succeed in a STEM or tech-related career"
The students familiarity increased in the following topics:
- +0.81 "Data Reporting, Data analysis and interpretation"
- +0.85 "Data Visualization tools (Tableau)"
- +0.77"Machine learning, large language models (LLMs), neural networks"
- +0.76 "Spreadsheet tools (e.g., Excel, Google Sheets)"
- +0.42 "Algorithms and how they work"