Data Science Interview Courses to Supercharge Your Prep

When it comes to preparing for data-related interviews, one size doesn't fit all.

A product data scientist needs to excel in experimentation and metrics design, while a machine learning engineer must go deep into model architectures and system scalability. That’s why we created dedicated interview prep courses, tailored for specific data science roles.

📚 Explore Our Role-Specific Courses

1. Data Analyst Interview Prep

Get confident with:

  • SQL querying and case studies
  • Excel-style logic and data cleaning questions
  • Metrics reporting and dashboard scenarios
  • Interpreting trends and building simple hypotheses

This course is ideal for entry-level or business-focused roles where communication and data wrangling are key.


2. Product Data Scientist Interview Prep

Learn how to:

  • Design A/B tests and interpret experimental results
  • Build product sense through user behavior analysis
  • Recommend metrics to monitor new features
  • Frame ambiguous business problems into structured analysis

Perfect for those aiming to join growth, marketplace, or product teams.


3. Machine Learning Engineer Interview Prep

Dive into:

  • Model development and evaluation (classification, regression, etc.)
  • Trade-offs in feature selection, bias-variance, and regularization
  • ML system design (online vs. batch, data freshness, etc.)
  • Productionizing ML models and debugging pipelines

This course is tailored for roles that require technical depth and scalability thinking.


4. General Data Science System Design

Practice building:

  • Analytics platforms and data pipelines
  • Event tracking and ETL systems
  • Experimentation platforms and feature stores
  • Interview-friendly architecture diagrams and trade-off discussions

Ideal for senior data scientists and engineers asked to collaborate with infra, product, or data engineering teams.


Why Take These Courses?

Each course includes:

  • Curated question sets by role
  • Structured breakdowns for how to answer
  • Frameworks to tackle open-ended scenarios
  • Mock interview tips to improve delivery

Rather than sifting through endless random questions, you’ll get a focused and efficient roadmap to prepare the skills that actually get tested.