Overview
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This course teaches you to harness AI-powered tools for code generation, focusing on SQL, Python, and R for data analysis tasks. You'll learn to create complex formulas and automate repetitive data manipulation processes, significantly boosting your productivity. The course covers the design and implementation of automated data processing pipelines, enabling you to streamline your entire data analysis workflow.
Upon completion of this course, you'll be able to:
- Generate code snippets for data analysis tasks using AI
- Create and optimize formulas for data manipulation and analysis
- Design automated data processing pipelines with generative AI
- Integrate AI capabilities into existing coding environments and workflows
Syllabus
- Code generation fundamentals
- Lays the foundation for using generative AI in coding by introducing key concepts, tools, and techniques for effective code generation and prompt engineering.
- Building formulas
- Explores the use of generative AI to automate and streamline the creation, customization, and implementation of formulas within various data analysis tools, focusing on enhancing efficiency and accuracy.
- Advanced coding techniques
- Expand your coding capabilities by leveraging generative AI for complex code snippets, debugging, and customization, addressing specific data analysis challenges.
- Automation and integration
- Guides learners in streamlining their data analysis workflows by identifying automation opportunities, integrating generative AI tools into coding environments, and automating key tasks like data cleaning, transformation, and visualization.
- GenAI in action: Data case studies
- Solidify coding skills and enhance practical experience by applying generative AI in real-world data analysis projects, fostering collaboration and receiving valuable feedback to improve code quality and problem-solving abilities.
Taught by
Microsoft