Microsoft Advanced Analytics Techniques with Generative AI helps you build modern analytics skills by combining proven data methods with emerging AI tools. You’ll strengthen your ability to analyze structured and unstructured data, automate workflows, create forecasts, and support strategic decisions using practical techniques employers value.
Across five courses, you’ll work with R, GitHub Copilot, Power BI, Excel, Azure Blob Storage, APIs, and reporting tools to solve realistic business problems. You’ll move from statistical testing and regression analysis to time-series forecasting, scenario planning, anomaly detection, and automated coding workflows.
You’ll learn how to improve efficiency with generative AI while maintaining analytical judgment. The program emphasizes using AI responsibly to generate code, streamline documentation, accelerate data cleaning, and uncover insights faster.
By the end of the specialization, you’ll be able to build predictive models, automate repetitive tasks, create dynamic reports, evaluate risks, and communicate findings clearly to stakeholders.
This specialization is designed for analysts, technical professionals, and experienced learners who want to modernize their skills with AI-enhanced analytics. Prior experience with data analysis, spreadsheets, or basic programming is recommended.
Applied Learning Project
This specialization includes applied labs and portfolio-ready projects built around realistic business scenarios. You’ll conduct hypothesis testing, build regression and forecasting models, scrape and prepare live web data, create interactive maps, automate reports, and analyze text datasets. Final capstone work combines data collection, modeling, visualization, and reporting into an end-to-end analytics solution. You’ll also develop professional GitHub portfolio assets that help demonstrate practical skills to employers or internal stakeholders.
