Live Online Classes • Grades 10–12 • Python & Real Data • Project-Based
From Data to Decisions — The Skills Behind Every Industry
Data science, machine learning & optimization — starting in high school
From finance to healthcare to supply chains — every industry relies on people who can analyze data and optimize decisions. Your child starts building those skills here. Small classes of 4–6. Real projects from week one.
The Data Literacy Gap
Every industry — from healthcare to sports to finance — now runs on data. Yet most high school students graduate without ever learning how to analyze data, think statistically, or build a model.
34% projected growth in data science roles over the next decade — nearly 4× faster than the average occupation — making it one of the fastest-growing career fields in America.
Source: U.S. Bureau of Labor Statistics, Occupational Outlook
Most enrichment programs stop at basic coding. APRISE goes further — teaching students to collect, clean, visualize, and model real-world data using Python, starting in high school.
APRISE bridges that gap — starting in high school.
Without Data Skills, Students Often...
Arrive at college without the skills professors expect
Python and SQL appear in over half of data-related job postings — yet most high schoolers graduate without writing a single line of code for data analysis. When college courses assume data literacy from day one, unprepared students start behind.
Blend in on college applications
Every applicant lists AP classes and a strong GPA — admissions committees need something more to remember your child. A data science portfolio gives them exactly that:
Never see why math actually matters
"When will I ever use this?" — every parent has heard it. Data science and optimization answer that question every class: algebra powers prediction models, statistics uncover real-world trends, and linear programming optimizes real decisions.
Our Programs
Data Science & Optimization Courses
Three rigorous tracks that take students from data fundamentals to real-world optimization — building the analytical thinking colleges and employers seek.
Monthly
$245/mo
Full Payment
$665
Duration
8–12 weeks
Class Size
4–6 students
Format
Live Online
Data Science Foundations
Where intuition meets evidence. Students learn to collect, clean, and analyze real data — building the statistical thinking that drives confident, data-backed decisions.
- ✓Data collection, cleaning, and visualization
- ✓Descriptive statistics and probability
- ✓Correlation, regression, and trend analysis
- ✓Python and spreadsheet tools included
Right level? Your free evaluation will confirm.
View Course Details →
Advanced Data Science
From patterns to predictions. Students apply inferential statistics, build multi-variable models, and interpret results with the precision expected in college-level analytics coursework.
- ✓Hypothesis testing and inferential statistics
- ✓Multi-variable regression and model evaluation
- ✓Data storytelling and visualization
- ✓Introduction to machine learning concepts
Right level? Your free evaluation will confirm.
View Course Details →
Optimization & Linear Programming
Where math meets real-world decisions. Students model and solve constrained optimization problems — the same frameworks used in logistics, finance, and operations research.
- ✓Linear programming and constraint modeling
- ✓Sensitivity analysis and feasibility regions
- ✓Real-world applications: logistics, finance
- ✓Solver for constrained problems — computational tools
Right level? Your free evaluation will confirm.
View Course Details →Not sure where to start? Book a free evaluation →
Real Projects, Real Skills
What Your Child Will Actually Build
Not abstract exercises — tangible projects students are proud to show off. Here’s what they create at each level.
Data Dashboards
- Visualize sports performance trends
- Chart weather patterns and stock data
- Interactive charts with real datasets
Analysis Reports
- Clean messy, real-world datasets
- Present findings with charts & narrative
- Draw conclusions from raw data
Python Scripts
- Automate data collection & filtering
- Summary statistics at the push of a button
- Real Python syntax from day one
Prediction Models
- Predict housing prices from real data
- Forecast student performance outcomes
- Evaluate model accuracy & improve it
Classification Projects
- Build a spam detection classifier
- Sentiment analysis on real reviews
- Train, test, and refine algorithms
Capstone Portfolio
- End-to-end: collect → analyze → model → present
- Polished enough for college applications
- Real data, real conclusions, real impact
Resource Allocation
- Optimize a budget or production schedule
- Allocate limited resources under constraints
- See math drive real decisions
Real-World Scenarios
- Solve logistics and routing problems
- Plan production runs and supply chains
- Model decisions companies actually face
Math + Code Integration
- Write Python that finds optimal solutions
- Use Solver for constrained problems
- Bridge mathematical thinking & code
Where It Leads
Students who complete Data Science & Optimization are prepared for college-level statistics, data science programs, and AP Computer Science — with a portfolio that proves it.
The APRISE Difference
Why Parents Trust APRISE
for Data Science Education
Six reasons families choose APRISE to build their child's data skills — and keep coming back.
Real Projects, Not Just Theory
Students work with real datasets — sports stats, weather patterns, stock market data — not textbook exercises. Every session produces something tangible they can show off to friends, family, and college admissions committees.
From Spreadsheets to Python
We build skills progressively — from data analysis fundamentals to Python programming and machine learning basics. No student is dropped into the deep end without preparation. Each course is a deliberate next step, not a leap.
Small Groups, Personal Attention
Maximum 4–6 students per session. No one falls behind unnoticed, and no one is held back by a slow-moving classroom. Every student gets real, hands-on guidance every single class.
Taught by the Founder
Lusine teaches every class personally. Your child learns directly from the curriculum designer — not a rotating roster of instructors. The same person who built the course is in the room every week, invested in every student's progress.
Critical Thinking First
We teach students to ask the right questions before running the analysis — the skill employers value most. Data without interpretation is just noise. Interpretation without curiosity is just guessing. We train both.
College-Ready Portfolio
Students graduate with completed projects they can showcase on college applications and resumes. A data science portfolio built in high school signals initiative, technical depth, and real-world problem-solving — exactly what selective programs want to see.
Simple Process
How It Works
Three steps from first conversation to your child's first real data project.
Free Evaluation
We assess your child's math background, coding experience, and interests to find the right starting point — no guesswork, no pressure.
Your Child's Learning Path
We recommend which course to start with and map out the full trajectory — from Foundations through Advanced and Optimization.
Start Building
Your child begins working with real data from week one — no warm-up exercises, no textbook problems. Real datasets, real insights, from day one.
Get Started Today
Ready to Future-Proof
Your Child’s Skills?
Data science is the language of the future. Give your child a head start with APRISE’s hands-on, small-group programs — taught personally by our founder.
No commitment required · Free 30-minute evaluation · Limited spots available