Microsoft Advanced Analytics Techniques with Generative AI
About this course
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.
75/100
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- 20/35
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What you'll learn
- Analyze structured and unstructured data
- Automate workflows and repetitive tasks
- Create forecasts and predictive models
- Conduct scenarios planning and anomaly detection
- Utilize R, GitHub Copilot, and Power BI for data analysis
- Develop dynamic reports and evaluate risks
Course objectives
- Modernize analytical skills with AI tools
- Improve efficiency in data processes
- Support strategic decision-making with data insights
- Communicate findings effectively to stakeholders
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