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Dashboard

Eighteen cohorts completed since 2019

Cohorts trained to defend estimates under scrutiny

Knowledge Syscode Academy runs structured econometrics programmes with annotated code, office-hour feedback, and reporting habits that travel into policy memos and referee cycles.

Browse programmes

Average satisfaction 94% on internal exit surveys across the last three intakes — varied formats, not only five-star reviews.

Overhead view of printed charts and handwritten annotations

Signals we track for each release

142

Hours of lab content refreshed for 2026 schedules

9

Partner organisations referencing cohort templates

31%

Learners arriving from outside Gauteng metros

4

Languages supported in mentor feedback threads

112

Replication folders peer-reviewed in the last audit cycle

Inclusions — what ships with every cohort

Annotated code paths

Parallel Stata and R tracks with week-by-week diffs so you can see what changed between models.

Mentor office hours

Quant tutors and lab assistants answer implementation questions — not generic tutoring chatbots.

Reporting templates

Limitation paragraphs, diagnostic appendices, and table language you can adapt to your institution's style guide.

Honest prerequisites

We disclose where a module stops — IV deep dives, spatial models, and full Bayesian hierarchies point to follow-on work.

The cadence — from intake to portfolio-ready artifacts

Orientation

Tooling check, data ethics reminder, and a short writing sample so mentors calibrate feedback.

Weekly labs

Async exercises with due dates; live sessions for diagnostics that benefit from screensharing.

Review windows

Structured peer review plus mentor markup on one brief or replication packet.

Programmes open for enquiry

View full catalogue

From our cohorts — specifics, not slogans

Lerato M., policy analyst

Thabo — Pretoria: Regression Diagnostics week four Cook distance notes matched referee language.

Client in municipal research: Evidence-Based Policy Writing limitation rubric stopped an overclaim on a headline indicator.

Honest note: "Bayesian priors module was dense — still worth it for the prior predictive gate." — Kgomotso N.

Request the syllabus pack

We email a PDF overview with prerequisites, weekly themes, and software expectations — no payment step on this site. Use the form if you want a human to suggest a track.

Prefer a call? Reach the studio at +27 84 164 3072 on weekday afternoons.