Coding and Automation for Data Analysis with Generative AI

Microsoft via Coursera

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Overview

This course teaches you to harness AI-powered tools for code generation, focusing on SQL, Python, and R for data analysis tasks. The target learner for this course is a seasoned data professional or an aspiring analyst. This comprehensive program empowers. 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...

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.