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Bucket 1

Analytical Reasoning

Data-driven decision making, pattern recognition, and logical analysis

Expert Focus: Graduate-level statistics, Bayesian inference, and causal reasoning for strategic leaders.

0%Mastery
8 courses
50 lessons
45 hours of content
🎓 Graduate-Level Rigor
Take Deep Assessment
Comprehensive evaluation of your analytical reasoning skills • Expert-level questions
🎓 World-Class External CoursesMIT • Stanford • Harvard
Curated content from edX, Coursera, and top universities
1

Data Literacy Fundamentals

Beginner

Read, interpret, and communicate with data. Build the foundation for data-driven decision making.

Chart ReadingBasic StatisticsData CommunicationCritical Analysis
6 lessons
3h 0m
2

Introduction to Business Analytics

Beginner

Use spreadsheets and basic tools to analyze business data. Build your first dashboards and reports.

Prerequisites:Data Literacy Fundamentals
Spreadsheet AnalysisPivot TablesBasic VisualizationDashboard Creation
6 lessons
4h 0m
3

Statistical Thinking for Business

Intermediate

Go beyond averages. Understand variation, correlation, and the basics of hypothesis testing.

Prerequisites:Introduction to Business Analytics
Hypothesis TestingCorrelation AnalysisConfidence IntervalsStatistical Significance
6 lessons
5h 0m
4

Regression Analysis for Decision Making

Intermediate

Predict outcomes and identify drivers. Build and interpret regression models for business applications.

Prerequisites:Statistical Thinking for Business
Linear RegressionModel InterpretationPredictionModel Diagnostics
6 lessons
5h 20m
5

Bayesian Decision Analysis for Strategic Leaders

Expert

Apply probabilistic reasoning to high-stakes business decisions under uncertainty. Master prior elicitation, likelihood modeling, and posterior inference.

Prerequisites:Regression Analysis for Decision Making
Prior ElicitationMonte Carlo SimulationDecision TreesValue of Information Analysis
7 lessons
8h 0m
6

Causal Inference for Business Impact

Advanced

Move beyond correlation. Design experiments, analyze quasi-experiments, and establish causality when randomization is impossible.

Prerequisites:Bayesian Decision Analysis for Strategic LeadersExperimental Design Basics
A/B TestingDiD AnalysisRDDIV Estimation
7 lessons
7h 0m
7

Machine Learning for Executive Decision-Makers

Advanced

Not how to code ML—how to deploy it strategically. Model selection, validation, fairness, and the economic case for automation.

Prerequisites:Causal Inference for Business ImpactData Literacy
Model EvaluationML EconomicsFairness AuditingTechnical Due Diligence
6 lessons
6h 0m
8

Forecasting Under Radical Uncertainty

Expert

When historical patterns break down. Scenario planning, expert judgment aggregation, and preparing for fat-tailed events.

Prerequisites:Bayesian Decision Analysis for Strategic LeadersMachine Learning for Executive Decision-Makers
Scenario PlanningSuperforecastingTail Risk AnalysisAntifragile Strategy
6 lessons
7h 0m