AI-Powered Data Analysis: A Practical Introduction

Instructor: Tina Lasisi

What you'll learn

  •   Learn principles of data analysis
  •   Learn how to use generative AI to come up with data analysis ideas
  •   Learn how to use generative AI to create functional data analysis code
  •   Learn how to share data analysis projects on GitHub
  • Skills you'll gain

  •   Data Cleansing
  •   Git (Version Control System)
  •   Generative AI
  •   Integrated Development Environments
  •   GitHub
  •   Analytical Skills
  •   Data Collection
  •   Data Analysis
  •   ChatGPT
  •   Data Visualization Software
  •   Data Management
  •   Data Manipulation
  •   Statistical Analysis
  •   Technical Support
  •   Artificial Intelligence
  • There are 3 modules in this course

    You'll learn to think critically about the context of data analysis, delve into the specifics of analyzing and visualizing data using AI, and consider broader factors that support but are not directly part of data analysis. This practical approach focuses on generative AI tools, ensuring you know how to ask the right questions to avoid common mistakes. Your final activity will allow you to set yourself up for continued learning with a prepared Python environment and data sets, which you can voluntarily showcase on GitHub—a code-sharing hub. By the end of this course, you'll be adept at using AI tools to analyze data effectively and seamlessly apply these skills to future projects.

    Building Skills: Essential Practice

    Finishing Touches: Supporting Skills & Next Steps

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