Data Scientist
Interview Masterclass
Land your dream data scientist job with a 6-week, online cohort.
Led by interviewers and managers who worked at
Our Masterclass at a Glance
What Our Masterclass Offers
Never enter an data scientist interview blindfolded. We will give you the exclusive insights, a TON of practice questions and inside scoops from interviewers - so you can succeed!
👨🏫 Live Online Classes
For six weeks, meet with your instructors and peers multiple times a week via Google Meet. In each class you will learn, practice, and network for your next data scientist job.
📚 Comprehensive Curriculum
Master core areas of data science interviews: statistics, machine learning, coding, SQL, product sense, AB testing, causal inference, and culture-fit & leadership. We will teach you dozens of concepts and solution templates.
❓100+ Curated Interview Questions
Practice actual interview problems with detailed solutions.
😎 Data Scientist Instructors from Top Companies
Work with senior data scientists and interviewers from top companies like Google and Lyft.
📈 Break the Senior & Staff Bar
Frustrated why you are being down-leveled? Get the exclusive take from data science interviewers on why this occurs and how to break the bar.
MasterClass Modules
Master 8 Core Data Science Interview Areas
Each module is designed to help you tackle the most common and challenging topics in data science interviews. Learn concepts and frameworks. Drill cases.
Applied Statistics
Medium & hard-Level statistics problems seen in FAANG interviews. Get frameworks and practice cases.
Data Science Coding
DS-specific coding problems beyond LeetCode: data wrangling, statistical and ML coding problems.
Product SQL
Intermediate → advanced SQL with product tables. Drill medium and hard problems in FAANG interviews.
Resume & Behavioral
Tips on optimizing resume & LinkedIn profile to boost visibliity, ace behavioral interviews
Machine Learning
Review core concepts and cases assessed in ML interviews - ML Breath, ML Depth and ML Ops.
Product Sense & Metrics
Learn product-sense frameworks and drill cases like KPIs, Metric Trees, Opportunity Sizing.
A/B Testing
Learn frameworks on A/B testing cases in product interviews with coverage on edge-cases.
Causal Inference
Approach advanced experimentation cases like DiD and Synthetic Control seen in Sr/Staff product interviews.
Our Class Schedule
Classes are held online every Monday, Wednesday, and Thursday for six weeks. Each session covers key interview concepts and concludes with practical case studies to reinforce your learning.
| Module | Date | Time (EST) | Time (PST) |
|---|---|---|---|
| Applied Statistics | Mar 23, 2026 | 7:00 PM - 8:30 PM | 4:00 PM - 5:30 PM |
| Applied Statistics | Mar 25, 2026 | 7:00 PM - 8:30 PM | 4:00 PM - 5:30 PM |
| Applied Statistics | Mar 26, 2026 | 7:00 PM - 8:30 PM | 4:00 PM - 5:30 PM |
| Data Science Coding | Mar 30, 2026 | 7:00 PM - 8:30 PM | 4:00 PM - 5:30 PM |
| Data Science Coding | Apr 1, 2026 | 7:00 PM - 8:30 PM | 4:00 PM - 5:30 PM |
| Data Science Coding | Apr 2, 2026 | 7:00 PM - 8:30 PM | 4:00 PM - 5:30 PM |
| Product SQL | Apr 6, 2026 | 7:00 PM - 8:30 PM | 4:00 PM - 5:30 PM |
| Product SQL | Apr 8, 2026 | 7:00 PM - 8:30 PM | 4:00 PM - 5:30 PM |
| Resume & Behavioral | Apr 9, 2026 | 7:00 PM - 8:30 PM | 4:00 PM - 5:30 PM |
| Machine Learning | Apr 13, 2026 | 7:00 PM - 8:30 PM | 4:00 PM - 5:30 PM |
| Machine Learning | Apr 15, 2026 | 7:00 PM - 8:30 PM | 4:00 PM - 5:30 PM |
| Machine Learning | Apr 16, 2026 | 7:00 PM - 8:30 PM | 4:00 PM - 5:30 PM |
| Product Sense & Metrics | Apr 20, 2026 | 7:00 PM - 8:30 PM | 4:00 PM - 5:30 PM |
| A/B Testing | Apr 22, 2026 | 7:00 PM - 8:30 PM | 4:00 PM - 5:30 PM |
| A/B Testing | Apr 23, 2026 | 7:00 PM - 8:30 PM | 4:00 PM - 5:30 PM |
| Causal Inference | Apr 27, 2026 | 7:00 PM - 8:30 PM | 4:00 PM - 5:30 PM |
| Causal Inference | Apr 29, 2026 | 7:00 PM - 8:30 PM | 4:00 PM - 5:30 PM |
| Causal Inference | Apr 30, 2026 | 7:00 PM - 8:30 PM | 4:00 PM - 5:30 PM |