From Raw Data to Decisions, Two Months at a Time
Two courses — Data Analytics Foundations, then Applied Data Science. Each stands on its own, and each ends in a project you can show, not just a certificate.
How the Track Works
Two courses, back to back, two months each: Data Analytics Foundations, then Applied Data Science. You’re never locked in beyond two months — each course ends in its own capstone project and its own certificate.
The Two Courses
Data Analytics Foundations — 2 months, 24 sessions —
SQL, Excel and Python for analytics, dashboards in Power BI or Tableau, and descriptive statistics. Ends in a capstone analysis and dashboard built on a real business dataset.
Applied Data Science — 2 months, 24 sessions —
A deeper dive into pandas and scikit-learn, feature engineering, A/B testing, and data storytelling. Ends in a capstone project modeled on a working data scientist's first real assignment.
Where to Start
- New to data analysis or coding? Start with Data Analytics Foundations.
- Already comfortable with SQL, Excel or Python, and basic statistics? Applied Data Science might be the better place to jump in.