Courses

A course that will give you end-to-end experience of AB testing

Data Scientist · Data Analyst

Design, analyze and defend experiments the way senior data scientists at Microsoft, Netflix, Airbnb and DoorDash do, and answer the experimentation questions senior interviews ask.

Data Scientist · Product Data Scientist · Machine Learning Engineer · Quantitative Researcher

Build the algorithms behind modern machine learning from scratch, check them against scikit-learn on data whose truth is known, and answer the depth questions ML interviews ask.

Data Scientist · Machine Learning Engineer · Research Scientist

Go past the applied statistics course: estimation and Fisher information, likelihood tests and intervals that cover, resampling, regression inference with robust and clustered standard errors, models beyond OLS and messy data, the statistics that stats-heavy interview rounds probe.

Data Scientist · Research Scientist · Quantitative Researcher · Machine Learning Engineer

Design LLM-powered agents with tool use, memory, orchestration, and safety patterns

AI Engineer · ML Engineer · Software Engineer · Forward Deployed Engineer

Learn how LLM products behave, what they cost and how to judge their quality, and answer the AI product design, execution and strategy questions AI product manager interviews ask.

Product Manager · AI Product Manager · Technical Product Manager · Product Analyst

Prepare for every round of the Amazon data engineer loop: SQL on Redshift, Python, data modeling, pipeline design on AWS, and the Leadership Principle questions that come up in every round.

Data Engineer · Business Intelligence Engineer · Analytics Engineer

Prepare for Anthropic research engineer interviews: the progressive coding assessment, the ML coding round, LLM evals and their statistics, RL for language models, training at scale, design rounds and the culture interview.

Research Engineer · Research Engineer, Reinforcement Learning · Research Engineer, Pretraining · Research Engineer, Post-Training Model Evaluations · Research Engineer, Interpretability · Research Engineer / Scientist, Alignment

Practice DataFrames, joins, window functions, query performance, and streaming through 46 interactive lessons.

Data Engineer · Data Scientist · Data Analyst

50 statistics and probability problem sets seen in interviews

Data Scientist · Data Analyst · Data Engineer

Learn Bayesian inference the way data scientists use it: priors and posteriors, conjugate models, MCMC you build yourself, hierarchical models and Bayesian decisions, and answer the Bayesian questions interviews ask.

Data Scientist · Machine Learning Engineer · Quantitative Researcher · Research Scientist

Master the art of solving data science cases with frameworks and problem sets

Data Scientist · Data Analyst · Data Engineer · ML Engineer

Applied methods for product data science and interviews.

Data Scientist · Data Analyst

Learn how warehouses run your SQL, and answer the data warehousing questions data engineering interviews ask.

Data Engineer · Analytics Engineer · Data Architect

Understand what your C++ code does to memory, and answer the C++ questions coding and systems interviews ask.

Software Engineer · Machine Learning Engineer · Quantitative Developer

Learn how C# and .NET really work, from types and memory to async and design, and answer the C# questions software engineering interviews ask.

Software Engineer · Backend Engineer · .NET Developer

Work data engineering system design questions the way interviews ask them: requirements, estimates, data model, pipeline and deep dives, from data warehouses to feature stores.

Data Engineer · Analytics Engineer · Software Engineer · Machine Learning Engineer

Master schema design, normalization trade-offs, and real-world data modeling patterns

Data Engineer · Analytics Engineer · Data Architect · Software Engineer

Build pipelines that are safe to rerun with Airflow and dbt, and answer the pipeline questions data engineering interviews ask.

Data Engineer · Analytics Engineer · Data Platform Engineer

The coding interview patterns, taught step by step with code you can run.

Software Engineer · Data Engineer · ML Engineer · AI Engineer · Data Scientist

Learn to choose, design and build clear, honest charts in matplotlib, seaborn and Plotly, and answer the chart questions data interviews ask.

Data Analyst · Data Scientist · Product Analyst · Machine Learning Engineer

Learn how neural networks work, from backprop by hand to transformers and diffusion, with NumPy and PyTorch.

Machine Learning Engineer · AI Engineer · Data Scientist · AI Researcher

Master Fermi estimation, mental math, and market sizing for trading interviews

Quantitative Analyst · Quantitative Researcher

Master stochastic calculus, derivatives pricing, and portfolio optimization for quant interviews

Quantitative Researcher · Quantitative Analyst

Prepare for forward deployed engineer interviews at OpenAI, Anthropic and Palantir: practical coding, decomposition, building and evaluating LLM systems, and the cases these loops ask.

Data Engineer · Analytics Engineer · Software Engineer · Machine Learning Engineer

Prepare for every round of the Google data engineer loop: SQL on BigQuery, Python coding, data modeling, pipeline and system design on GCP, and Googleyness and leadership.

Data Engineer · Analytics Engineer · Software Engineer, Data

Decode Google's Data Scientist interview loop using the rubric interviewers actually use

Data Scientist · Senior Data Scientist · Staff Data Scientist

Prepare for every round of the Google machine learning engineer loop: coding, the ML domain round, ML system design on Google products, and Googleyness and leadership.

Machine Learning Engineer · Software Engineer, Machine Learning · AI Engineer

Learn how GPUs run code and write the kernels ML and AI engineering interviews ask about.

ML Engineer · AI Engineer · Software Engineer · Research Scientist

Learn how modern LLMs like Llama, Mistral and DeepSeek are built, one component at a time, and answer the architecture questions AI engineer interviews ask.

AI Engineer · Machine Learning Engineer · AI Researcher

50 machine learning problem sets seen in ML interviews

Data Scientist · ML Engineer

45 ML system design lessons with architecture diagrams, model serving patterns, and end-to-end infrastructure walkthroughs

ML Engineer · AI Engineer · Data Scientist

Measure what marketing and ads really do: attribution, lift tests, geo experiments, marketing mix models and ad auctions, for marketing science and ads data roles at top tech companies.

Data Scientist · Data Analyst · Marketing Scientist

Prepare for Meta's data engineer loop: the SQL and Python screen, full-stack product cases, data modeling and the ownership round.

Data Engineer · Analytics Engineer · Software Engineer, Data

See how technical interviews are conducted at top companies

Data Scientist · Data Analyst · Data Engineer

Take ML models to production: serve them, roll them out safely, monitor them and keep them working, with exercises that deploy real services.

Machine Learning Engineer · AI Engineer · Data Scientist · MLOps Engineer

Prepare for NVIDIA inference engineering interviews: C++ and CUDA coding, roofline and speed-of-light estimates, LLM inference optimization, serving system design, and the behavioral round.

Software Engineer, AI Inference Performance · Deep Learning Software Engineer, Inference · System Software Engineer, Dynamo · Developer Technology Engineer, Edge AI · ML Systems Engineer

Decode OpenAI's Product Data Scientist interview loop, scoped to ChatGPT, API, and consumer surfaces

Data Scientist · Senior Data Scientist · Staff Data Scientist

Master probability puzzles, Bayes' theorem, and combinatorics for quant trading interviews

Quantitative Researcher · Quantitative Analyst

Size launches, sales and the impact of a change, the way product analytics interviews ask.

Data Scientist · Data Analyst · Business Intelligence Engineer · Product Manager

Learn frameworks to product case interviews

Data Scientist · Data Analyst · Data Engineer

Learn Python from your first line of code, watching every name and object as your program runs.

Data Analyst · Data Scientist · Data Engineer · Business Intelligence Engineer

Learn DataFrames, data cleaning, grouping, merges, and time-series reports through 36 interactive Python lessons.

Data Scientist · Data Analyst · Data Engineer

Learn Polars expressions, aggregation, joins, window functions, time series and lazy queries through 36 interactive Python lessons.

Data Scientist · Data Analyst · Data Engineer

Learn PyTorch from your first tensor to torch.compile and DDP: how tensors, autograd and modules work inside, and the training engineering ML engineer interviews ask about.

Machine Learning Engineer · AI Engineer · Data Scientist

Understand what the Rust compiler checks and why, and answer the Rust questions coding and systems interviews ask.

Software Engineer · Machine Learning Engineer · Quantitative Developer

Prepare for site reliability and production engineering interviews: SLOs and error budgets, Linux and networking internals, live troubleshooting, incident response, practical scripting and large-system design with real numbers.

Site Reliability Engineer · Production Engineer · Reliability Engineer · Infrastructure Engineer · Software Engineer, SRE · Systems Engineer, SRE

Learn how Snowflake runs your queries and what they cost, and answer the Snowflake questions data engineering interviews ask.

Data Engineer · Analytics Engineer · Data Platform Engineer

Learn SQL by analyzing YouTube, Instagram, and OpenAI datasets. Write queries, solve quizzes, and build your skills across 44 interactive lessons.

Data Scientist · Data Analyst · Data Engineer

Learn how streaming systems like Kafka and Flink move, order and process events, and answer the streaming questions data engineering interviews ask.

Data Engineer · Analytics Engineer · Software Engineer · Machine Learning Engineer

29 system design lessons with architecture diagrams, trade-off analysis, and capacity estimation

Software Engineer · Data Engineer · ML Engineer

Prepare for the technical program manager loop: program execution, risk, stakeholders, system design at TPM depth, and the Amazon, Meta and Google rounds.

Technical Program Manager · Program Manager · Product Manager · Engineering Manager

Build, evaluate and defend forecasts the way data scientists who forecast demand, capacity and KPIs do, and answer the forecasting questions interviews ask.

Data Scientist · Machine Learning Engineer · Data Analyst · Quantitative Analyst

Design matching engines, execution systems, and low-latency trading infrastructure

Quantitative Analyst · Software Engineer