Public catalog

Courses

Browse role-dedicated tracks. Open any course for curriculum details. Enrolling requires a free account.

Blockchain & Web3

Solidity, audits, and blockchain engineering tracks

Backend & Python

Python, Django, and backend leadership

Software Engineering

Coding interviews, algorithms, and engineering craft

System Design

Architecture, scale, and design interviews

Product & Agile

Product management and Scrum facilitation

Data

Analytics, SQL, data science, and data engineering

Data

Data Analytics

Job-focused preparation for data analytics interviews: SQL, metrics definition, exploratory analysis, experimentation intuition, and clear storytelling with data — text-first SQL/coding practice without a live database sandbox.

~12 h · 12 topics · Beginner–Intermediate · 4 mock interviews

{ } Code practice — Coach Run on marked topics

Data

Data Engineer

Job-focused preparation for data engineering interviews: pipelines, modeling, SQL at scale, reliability, and text-based coding for transformations — without requiring a cloud warehouse sandbox.

~12 h · 12 topics · Intermediate · 4 mock interviews

{ } Code practice — Coach Run on marked topics

Data

Data Science

Job-focused preparation for data science interviews: statistics intuition, Python/SQL analysis, modeling tradeoffs, experimentation, and clear communication — text-first coding practice without a remote notebook sandbox.

~12 h · 12 topics · Intermediate · 4 mock interviews

{ } Code practice — Coach Run on marked topics

Data

Product Analytics

Job-focused preparation for product analytics interviews: metric definition, funnel/cohort analysis, experimentation partnership, and insight storytelling — light SQL/analysis practice without a live warehouse.

~12 h · 12 topics · Intermediate · 4 mock interviews

{ } Code practice — Coach Run on marked topics

Data

SQL Interviews

Focused preparation for SQL-heavy interviews: joins, windows, CTEs, performance intuition, and multi-step analytical queries — text-first practice with sample schemas.

~12 h · 12 topics · Beginner–Intermediate · 4 mock interviews

{ } Code practice — Coach Run on marked topics

AI & Machine Learning

ML, generative AI, and applied AI interviews

Security

Security engineering and analysis

Engineering Leadership

EM, TPM, and team leadership tracks

Behavioral

Cross-cutting engineering behavioral prep

Design

UX and product design interviews

BizOps & Strategy

Business operations and strategy roles

Looking for mock interviews? Browse interviews