The most common fate of a good analysis is that everyone agrees with it and nothing changes. This course addresses that gap, covering the analytical work and then the structuring, framing, and delivery that turn findings into a decision someone acts on.

This Course Offers

• Survey design covering question types, scales, sample, response rate problems, and the report and action plan at the end of a cycle
• Analysis spanning segmentation, lifetime value and ROI, journey and funnel analytics, attrition analysis, key driver analysis, correlations, multiple regression, forecasting, and experiments with control groups
• Critical thinking across six lessons including deduction and induction, weak arguments, confirmation bias, anchoring, framing, fact versus opinion, and decision models like OODA and Cynefin
• Structured problem solving covering SCQA framing, MECE and logic trees, 5 Whys and Ishikawa, Pareto and decision matrices, TRIZ, SCAMPER, and Six Thinking Hats
• Delivery covering audience segmentation, personas, message templates, channel choice, communicating findings nobody wants, and measuring whether the message landed

Why We Love This Course

1. Only basic spreadsheet skills are needed, since the statistics run in Excel and nothing requires Python or SQL.
2. No statistics background is required, as correlation and regression are built from zero.
3. Every section ends in something applied, so you work on a real dataset or question rather than examples.
4. The decision session script is included, covering how to handle the person who talks over everyone.

Analysis that gets agreed with and ignored wastes the work twice, once to produce it and again in the decision that never changed. Do you want your findings to be correct, or to change what happens next? Enrollment is open, and a real question to work on is needed.

• This course is perfect for analysts whose reports are agreed with and then not acted on.
• It suits managers receiving dashboards who cannot tell which number should change their plan.
• HR and people analytics specialists, business analysts, consultants, founders, and anyone presenting findings to people who did not do the analysis will find the structuring layer directly useful.

• Basic spreadsheet skills are needed, since the statistics run in Excel.
• No statistics background is required, as correlation and regression are built from zero.
• A real dataset or question is useful, since every section ends in something applied, and English at intermediate level or above is expected.