Every student learns differently. Our AI tutors are built as customized Google Gemini Gems — each with a distinct pedagogical approach, trained on the course content. "Learn by coding" is also a key feature of these tutors. You can use the Google Colab scratchpad to easily engage with the code the tutors provide.
All 17 chapters · 189 Key Concepts · Python code & datasets · Practice problems
Your friendly, step-by-step guide through econometrics. Tell the Coach what you want to learn, and it builds a personalized lesson plan anchored to Key Concepts. It walks you through one substep at a time, checks your understanding with quiz questions, and offers practice problems. You can also paste a homework question and it will guide you to the solution without giving the answer away. Perfect if you want clear structure and encouragement.
Try: "Teach me about confidence intervals from Chapter 4" or "Help me practice hypothesis testing"
Tell it a chapter topic and it transforms the example into a structured case study. It walks you through 6 stages: Motivation, Research Question, Data Description, Methods, Results, and Answer. At the end, you write a 3-sentence Policy Brief for a non-technical audience.
Try: "Build a case study around Okun's Law from Chapter 8"
Best for: applied / real-world framing
ChatNever explains directly — instead, it guides you to discover the answer yourself through carefully sequenced questions. Share a topic you're studying and it will ask probing questions that deepen your understanding step by step.
Try: "I think I understand R-squared, but I'm not sure"
Best for: students with some foundation
ChatTell it which chapters your exam covers and it generates timed practice sets with realistic questions. It identifies your weak spots, drills common pitfalls, and teaches test-taking strategy. After each answer, it gives targeted feedback.
Try: "Quiz me on Chapters 5-7 for my midterm next week"
Best for: midterm & final prep
ChatAsk about any concept and it gives you a vivid real-world analogy before any formula. OLS becomes drawing lines through stars, hypothesis testing becomes a courtroom trial. Stories first, math second — then connects back to the formal definition.
Try: "Explain the Central Limit Theorem with an analogy"
Best for: abstract concepts feel hard
ChatEvery concept starts with a Python code block you can copy into Google Colab. Run it, change something, observe what happens. It uses Monte Carlo simulations and the course datasets to build your intuition through hands-on experimentation.
Try: "Show me how OLS works with a Monte Carlo simulation"
Best for: learn-by-doing coders
ChatState a claim about econometrics and it takes the opposite position to stress-test your understanding. It says "I disagree — convince me," celebrates when you defend well, and corrects when you can't. Sharpens your reasoning under pressure.
Try: "I believe a high R-squared means the model is good"
Best for: testing deep understanding
ChatAsk about any concept and it turns it into a picture. Scatter plots, residual diagnostics, before-and-after comparisons. It provides matplotlib code to generate plots you can run in Colab and references the course's interactive web apps.
Try: "Show me what heteroskedasticity looks like in a residual plot"
Best for: visual learners
ChatTreats you as a junior researcher. Give it a topic and it poses a real economic question, then guides you through the empirical workflow: question, data, model, estimate, interpret. After every step it asks: "What would a journal referee say about this?"
Try: "I want to study the causal effect of education on earnings"
Best for: advanced / thesis prep
ChatAll tutors are built as customized Gems on Google Gemini, each with tailored instructions for a distinct learning style.
Choose the learning style that fits you. You can switch any time.
Concepts, homework, Python code, exam prep. All 17 chapters covered.
Get personalized explanations, practice problems, and Python code you can run in Colab.