80% of analytics engineers now use AI daily — up from 30% one year ago. BLS projects 34% growth for data scientists. Learn Power BI Copilot, Tableau AI, dbt, and the modern data stack. Practical and tool-oriented, not a traditional stats degree.
Every student completes the Foundations plus domain-specific courses. You don't just learn data — you learn to turn it into decisions with AI.
Production-grade SQL, data warehouse navigation, query optimization, dbt fundamentals. The foundation that 80%+ of data analyst job postings require.
Data profiling, source reconciliation, standardization, deduplication, dbt tests. The unglamorous work that makes every downstream analysis trustworthy.
pandas, numpy, data visualization, Jupyter notebooks, AI-assisted code. The programming toolkit that extends what SQL alone can do.
A/B testing, hypothesis testing, confidence intervals, correlation vs. causation. Enough statistics to design experiments and validate results — applied, not abstract.
BI tools, dashboard scoping and design, metric documentation, self-serve analytics. Build dashboards executives actually use — not just charts, but decision-support systems.
Modern data stack, pipeline monitoring, event tracking, building from zero. The infrastructure that makes reliable analytics possible at scale.
MRR calculation, unit economics, board deck narratives, forecasting. The business context that turns data analysts into trusted advisors.
Notebook discipline, code review, reproducibility, stakeholder relationships, career paths. The professional skills that separate analysts who deliver from analysts who just query.
AI-skilled data professionals command a 28% salary premium (~$18K/year more). 63% job openings growth YoY for AI data analysts. 51% of AI-requiring job postings are now outside IT — every industry needs this.
The core path: extract insights, build reports, answer business questions. Entry: $60K–$80K. Mid-career: $80K–$115K. Senior: $115K–$160K+. AI Data Analyst average: $130K (Glassdoor).
Build and maintain the dashboards and reporting systems companies run on. Entry: $70K–$92K. Mid-career: $92K–$130K. Senior: $130K–$181K. PL-300 certification requested in ~32% of Power BI postings.
The fastest-growing data role: SQL + dbt + cloud warehouses. Entry: $100K+. Mid-career: $125K–$153K. Senior: $142K–$216K+. 80%+ ICs over $100K; 49% of managers over $200K.
Go beyond reporting to recommendation. Model scenarios, predict outcomes, advise on strategy. Mid-career: $75K–$156K. BLS projects +21% growth for operations research through 2034.
Real analysis projects that demonstrate your ability to turn data into decisions — the output that gets you hired.
SQL analysis project with documented queries and data validation. Demonstrate production-grade query writing, optimization, and systematic data quality checks.
Python data analysis with visualization and written insights. End-to-end analysis in Jupyter notebooks with pandas, clear visualizations, and narrative interpretation.
Business intelligence dashboard with metric documentation. A self-serve analytics tool with clear metric definitions, stakeholder-ready design, and documented methodology.
Your capstone: end-to-end data project from raw data to executive presentation. The deliverable that proves you can own the full data lifecycle and turn messy data into strategic recommendations.
For students who can commit full-time. Get career-ready as fast as your skills allow.
For people working while learning. Same depth, flexible scheduling.
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