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Go from analyst to business partner: driver modelling, pricing analytics, experimentation, forecasting, and AI powered strategic analytics.
8 modules · 48 lessons
Analytics that changes decisions, advanced SQL and analytical modelling, business drivers pricing and profitability, experimentation and causal evidence, a minor project fixing pricing and profitability, forecasting and predictive analytics, Python automation and Generative AI for analytics, and a major project delivering a strategic analytics product.
Level up from analyst to business partner. This intermediate program from Ucanly takes practitioners with working knowledge of Excel, SQL, business metrics, dashboards, and basic statistics into strategic analytics: structuring problems like a consultant, advanced SQL with window functions and analytical data modelling, and driver tree decomposition for pricing and profitability. In your minor project in week five, you will deliver a complete pricing and profitability engagement with segmentation, elasticity analysis, a driver model, scenario testing, and a quantified margin recommendation. You will run rigorous A/B tests and causal analysis, build forecasting and predictive models for churn and demand, and automate reporting with Python. On the AI side, you will build text to SQL natural language querying, RAG over business documents, and AI agents that investigate data. You will graduate having delivered a full strategic analytics product in your week ten major project, with an automated pipeline, a predictive model, an experiment design, a financial impact case, an AI powered insight assistant, and a live executive defense.
Complete this course to earn a verified Ucanly certificate you can add to your profile, share on LinkedIn, and showcase to employers as proof of the skills you've built.
It is recommended, but working knowledge of Excel, SQL, business metrics, dashboards, and basic statistics is sufficient to start.
Yes, your minor project is a complete pricing and profitability engagement with segmentation, elasticity analysis, a driver model, scenario testing, and a quantified margin recommendation defended in front of your mentor.
You will build text to SQL natural language querying, RAG over business documents, and AI agents that investigate and explain data, culminating in a full AI powered insight assistant.
A full strategic analytics product with an automated pipeline, a predictive model, an experiment design, a financial impact case, an AI powered insight assistant, and a live executive defense to Ucanly mentors.