Three tracks. Each one starts from zero technical background.
Every track is self-contained. Some learners take only the Foundations Track; others move through all three in sequence over several months.
Foundations Track
This track exists for one purpose: to teach how to think about data before touching any dashboard software. Learners work through reading a spreadsheet critically, distinguishing correlation from causation in plain language, recognizing common chart distortions, and framing a business question so it can actually be answered with the data on hand.
Sessions run twice weekly for four weeks, each ninety minutes, combined with short self-paced exercises. There is no assumed familiarity with formulas, functions, or formal statistics terminology going in. By the end, learners can look at a company report and explain, in their own words, what it's actually claiming and where it might be shaky.
Business Analytics Track
The core program. Twelve weeks, cohort-based, structured around the four-phase arc described on the homepage.
Spreadsheet fluency
Functions, pivot tables, conditional formatting, and data cleaning habits that hold up on messy, real-world exports.
Guided query logic
An introduction to relational thinking and query construction through visual query builders, so the logic transfers even without writing SQL by hand.
Dashboard construction
Building readable dashboards in Power BI and Tableau, with attention to what makes a dashboard usable by someone who didn't build it.
Stakeholder communication
Structuring findings for an audience that will act on them but won't open the underlying file, including live readout practice.
Format: two live sessions per week plus asynchronous practice. Cohorts are capped to keep group work manageable. Prerequisites: none, though learners who complete Foundations first tend to move through the early weeks more comfortably.
Career Accelerator
For learners who've completed Foundations or Business Analytics and want structured support turning coursework into applications. The track covers rewriting a resume around analytics-relevant language, assembling two to three portfolio pieces from realistic business scenarios, preparing for informational interviews, and practicing responses to common interview questions in analytics-adjacent roles.
Sessions run weekly with individual advisor check-ins scheduled around each learner's own timeline. There is no promise of placement or interview outcomes; the track focuses on preparation and readiness, not guarantees.
A few common questions
Do I need any coding experience?
No. Every tool taught in these tracks is interface-driven. Query logic is introduced conceptually and practiced through visual builders rather than written code.
How much time does each week take?
Most learners spend three to six hours weekly, split between live sessions and self-paced practice, adjustable around a full-time job.
Are the tracks fully online?
Yes. Live sessions happen over video, recordings remain available afterward, and all materials are accessible from a standard laptop.
Can I take tracks out of order?
Business Analytics assumes the reasoning covered in Foundations, though it doesn't require formal completion of it first if you're already comfortable with basic spreadsheet use.
Not sure which track fits?
Send a few details about your current role and an advisor will suggest a starting point.