One-time payment. 6-month access

LeetCode teaches algorithms,
not the domain.

If you are preparing for a data scientist or yield engineer role at ASML, Applied Materials, TSMC, Lam Research, or Intel, standard prep is not working because standard prep was not built for this domain. The questions you will face are not about inverting binary trees. They are about whether you know why a rolling baseline destroys a CUSUM detector, why Leave-One-Chamber-Out validation exists, and whether the model you deployed can be trusted to make the right call at 2 AM when a process engineer is deciding whether to pull a $200,000 lot based on what your code said.

Breaking In
No semiconductor background yet
Switching In
Adjacent domain: medtech, aerospace, MEMS
Refreshing
Semiconductor background, changing roles
Just Hired
Starting a semiconductor DS role

The curriculum map shows a specific ordered path for each of the four starting points above.

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Free preview
Browse all 70 mission titles, descriptions, and learning objectives
View all 5 capstone scenario briefs
Read the Field Manual introduction
Access the full curriculum map and learning paths
Browse the complete Fab Lexicon term list
With full access
All 70 graded missions: scored, with quiz components, on real semiconductor telemetry
All 5 capstone simulations: financially-weighted pressure scenarios. Your model runs the night shift. The 2 AM Pager tests whether your decision logic holds when the people who trust it are not in the room.
Complete Interview Prep Manual: behavioral STAR with fab cost numbers, SQL live-coding patterns, hostile review defenses, and company-specific vocabulary for your target employer
Round 1 Gauntlet: the foundational questions that eliminate candidates in first rounds, each with the textbook answer and the fab pivot that proves you understand the physical context
Complete Wafer Journey series: six interactive algorithm deep dives with widgets that make the cost of the wrong model decision tangible
Complete Field Manual: seven layers covering the physics, data architecture, compliance, economics, and ML methods that no job posting teaches but every interview tests
Full Fab Lexicon: 253 terms with definitions, key insights, and physical context
Theory Library: 58 conceptual entries across 5 clusters covering the statistical, physical, and algorithmic foundations behind every mission and Field Manual case study. Each entry includes mechanism, pseudocode, Python implementation, domain mapping, and broken assumptions
18 printable quick reference cards covering SECS/GEM, SPC patterns, failure modes, and diagnostic checklists
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What this is

Every component was built around a specific gap between what DS courses teach and what semiconductor companies actually test.

Mission Track
70 graded missions on real semiconductor telemetry. Each mission is a scenario: a sensor drops, a model drifts, a chamber fingerprint appears in the feature importance. You debug it. The grader scores your approach, not just your answer.
Simulation Suite
Five live-fire capstone scenarios with financial stakes. Your model runs the night shift: the 2 AM Pager simulation tests whether your decision logic holds when the process engineer who depends on it is not in the room. The Hostile Review Board tests whether your methodology survives adversarial questioning.
Interview Prep
Structured answers for every format you will face: behavioral STAR with semiconductor cost numbers, SQL patterns specific to FDC data, hostile review defenses, and company vocabulary tables for your specific target employer.
Wafer Journey
Six interactive algorithm deep dives covering XGBoost, Random Forest, Isolation Forest, CUSUM drift detection, Design of Experiments, and CNN defect classification. Each journey ends with the exact interview traps that practitioners fall into.
Field Manual
Seven layers covering domain wisdom, compliance, systems architecture, process physics, fab economics, and the ML methods that production fabs actually deploy. The theory layer that makes every mission answer defensible.
Reference Layer
253-term Fab Lexicon with definitions and physical context, plus 18 printable quick reference cards. The lookup layer you return to during active roles, not just during prep.
Theory Library
58 conceptual entries across 5 clusters: the statistical, physical, and algorithmic foundations behind every mission and case study. Each entry covers mechanism, pseudocode, Python implementation, domain mapping, and where the standard assumptions break in a fab context.
Who this is for
Breaking In

You have the statistics and Python but no semiconductor background. The Learning Path starts with the Interview Prep Manual and pairs each section with the missions that make the concepts stick. Domain depth comes after the offer.

Switching In

You come from medtech, aerospace, or MEMS. You recognize the patterns but the physical constraints that change which patterns apply are new. The platform flags every place where your existing intuition needs calibration for a fab context.

Refreshing

You know the domain. The risk is overconfidence: strong intuitions but weak ability to articulate the DS framing interviewers now score. The Wafer Journey interview zones and the Round 1 Gauntlet surface exactly where the gap is before your panel.

Just Hired

The job tests execution, not recall. The Field Manual, the Wafer Journey production checklists, and the process-area missions are what you return to in your first year when the data is messier than any training set.