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MODULE 1

Course Overview and Study Method for Data Work

Transform the course from catalog to cognitive system, with study method, technical memory, and professional output plan.

Editorial cover of the module Course Overview and Study Method for Data Work
How to Study This Course Well - official lesson image on GinnyTech, created by AD
2
Base 18 min

How to study technical material without forgetting it

How to study technical material without forgetting it. Narrative lesson from the Course Overview and Study Method for Data Work module: 40-10-10 method, active recall, spaced review, and practical application to technical study.

Prerequisites: 1

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How This Course Works - official lesson image on GinnyTech, created by AD
3
Base 18 min

'First principles: how a strong analyst thinks'

First principles: how a strong analyst thinks. Core lesson of the Course Overview and Study Method for Data Work module with real problem, conceptual model, rigorous formalization, applied case, 3-level lab, and final checkpoint.

Prerequisites: 1

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How to Practice on Data While Studying - official lesson image on GinnyTech, created by AD
4
Base 18 min

From Business Question to Analytical Question

From Business Question to Analytical Question. Core lesson of the Course Overview and Study Method for Data Work module with real problem, conceptual model, rigorous formalization, applied case, 3-level lab, and final checkpoint.

Prerequisites: 1

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How to Take Notes Without Getting Lost - official lesson image on GinnyTech, created by AD
5
Base 18 min

How to take technical notes, version ideas, and build memory

How to take technical notes, version ideas, and build memory. Core lesson of the Course Overview and Study Method for Data Work module with real problem, conceptual model, rigorous formalization, applied case, 3-level lab, and final checkpoint.

Prerequisites: 1

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How to Really Remember What You Learn - official lesson image on GinnyTech, created by AD
6
Base 18 min

'Reproducibility mindset: rigor before speed'

Reproducibility mindset: rigor before speed. Core lesson of the Course Overview and Study Method module for Data Work with real problem, conceptual model, rigorous formalization, applied case, 3-level lab, and final checkpoint.

Prerequisites: 1

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From Course to Work Skills - official lesson image on GinnyTech, created by AD
7
Base 18 min

From course to work skills

How to turn course knowledge into practical skills marketable in the job market.

Prerequisites: 1

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How Not to Lose Motivation in the Long Term - official lesson image on GinnyTech, created by AD
8
Base 18 min

Initial skill diagnostic and personalized study plan

Initial skill diagnostic and personalized study plan. Core lesson of the Course Overview and Data Work Study Method module with real problem, conceptual model, rigorous formalization, applied case, 3-level lab, and final checkpoint.

Prerequisites: 1

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Concept Maps: How to Navigate the 21 Course Modules - official lesson image on GinnyTech, created by AD
9
Base 8 min

Concept Maps: How to Enter the 21 Modules of the Course

Professional map of the GinnyTech course: 21 modules and 236 core lessons to navigate fundamentals, applications, technical stack, analytical rigor, and AI data work.

Prerequisites: 1

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Module connections

Same stage of the pathData Collection & Tracking Systems8 lessons

Move from isolated tags and tools to reliable, governed, and observable measurement systems.

Same stage of the pathMetrics, KPI Trees, and Analytical Foundations6 lessons

Learn to read numbers as systems, with KPI trees, unit economics, correct baselines, and causal signal interpretation.

Same stage of the pathData-Driven Management and Decision Operating System9 lessons

Bring data into the everyday way of deciding with cadence, governance, decision memo, and cross-functional alignment.

Next moduleProduct Analytics and Growth Diagnostics11 lessons

Read where the product creates value, friction, or loss with funnel, retention, activation, and monetization analytics.

Next moduleMarketing Analytics, Incrementality, and Unit Economics22 lessons

Take marketing from reporting to a serious quantitative discipline with incrementality, unit economics, and decision reviews.

Next moduleDashboard, Visualization, and Decision Interface8 lessons

Build dashboards that drive decisions, with visual hierarchy, semantic consistency, alerting, and operational context.