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MODULE 18

Directions in Analytics: Marketing, Product, Finance

Connect technical modules to real roles, economic responsibilities, and professional specialization choices.

Editorial cover of the module Directions in Analytics: Marketing, Product, Finance
Analytics roles map - official lesson image on GinnyTech, created by AD
1
Advanced 18 min

Map of Roles in Modern Analytics

Map of Roles in Modern Analytics. Introductory lesson of the Analytics Directions module.

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Marketing Analytics - official lesson image on GinnyTech, created by AD
2
Advanced 18 min

Marketing analytics operating model

Marketing analytics operating model. How to structure the analytics function in marketing.

Prerequisites: 1

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Finance Analytics - official lesson image on GinnyTech, created by AD
3
Advanced 18 min

Finance analytics, FP&A and economic control

Finance analytics, FP&A and economic control. The domain of finance analytics.

Prerequisites: 1

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Product Analytics - official lesson image on GinnyTech, created by AD
4
Advanced 18 min

Operating model of product analytics

Operating model of product analytics. How to structure product analysis.

Prerequisites: 1

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Unit Economics - official lesson image on GinnyTech, created by AD
5
Advanced 18 min

Unit economics, CAC, LTV, and profitability

Unit economics, CAC, LTV, and profitability. Lesson on unit economics for analysts.

Prerequisites: 1

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KPI Trees - official lesson image on GinnyTech, created by AD
6
Advanced 18 min

'KPI trees by function: differences and intersections'

KPI trees by function: how to build and align metrics across departments.

Prerequisites: 1

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Product Analytics and A/B - official lesson image on GinnyTech
7
Advanced 18 min

Product analytics and A/B testing

Product analytics and A/B testing. How to integrate product analysis and experiments.

Prerequisites: 1

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Forecasting and Planning - official lesson image on GinnyTech, created by AD
8
Advanced 18 min

Forecasting and business planning cycles

Forecasting and business planning cycles. Lesson on forecasting models and planning cycles.

Prerequisites: 1

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Hiring rubric and skill ladder - official lesson image on GinnyTech
9
Advanced 18 min

Hiring rubric, skill ladder and seniority

Hiring rubric, skill ladder, and seniority. How to evaluate and grow analytical talent.

Prerequisites: 1

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Storytelling for executives - official lesson image on GinnyTech
11
Advanced 18 min

Storytelling for executives and board

Storytelling for executives and board. How to communicate data to leadership.

Prerequisites: 1

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Budget and portfolio allocation - official lesson image on GinnyTech
12
Advanced 18 min

Budget decisions and portfolio allocation

Budget decisions and portfolio allocation. How to make data-driven budget decisions.

Prerequisites: 1

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Stakeholder conflict - official lesson image on GinnyTech
13
Advanced 18 min

Stakeholder conflict management

Stakeholder conflict management. How to handle conflicts between data and opposing interests.

Prerequisites: 1

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Capstone and portfolio - official lesson image on GinnyTech
14
Advanced 28 min

How to choose specialization, portfolio, and capstone

How to choose specialization, portfolio, and capstone. Final lesson on how to orient your analytical career.

Prerequisites: 1

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Cheat Sheet - Analytical Directions - official lesson image on GinnyTech
15
Advanced 10 min

Cheat Sheet — Analytics Career Paths

Quick reference sheet to choose and navigate analytics career directions.

Prerequisites: 1

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Module connections

Same stage of the pathPhilosophical Foundations of Data Analysis20 lessons

Give epistemological, causal, and critical depth to data work, linking evidence, models, risk, and responsibility.

Same stage of the pathAI for Data Analysis, Data Engineering and AutoML10 lessons

Use generative AI and AutoML to accelerate analysis, pipelines, features, and decision memos without losing control, quality, and ownership.

Same stage of the pathAgentic AI for Data Analysis, Data Engineering, and AutoML10 lessons

Design agentic workflows for analysis, SQL, pipelines, AutoML, and analytics operations with tools, state, guardrails, evaluation, and approval.

Previous moduleCourse Overview and Study Method for Data Work8 lessons

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

Previous moduleData Collection & Tracking Systems8 lessons

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

Previous moduleMetrics, KPI Trees, and Analytical Foundations6 lessons

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