Getting Started with Google Colab and Gemini for Data Analysis

Course Description:

This mini-course is designed for beginners who want to explore Google Colab and leverage Gemini AI for data analysis. You’ll learn how to set up and navigate Colab, use Gemini to generate Python code, and manage datasets efficiently. Through hands-on lessons, you’ll gain essential skills in reading, inspecting, and analyzing data, as well as generating basic insights and visualizations—all with minimal coding effort. By the end of this course, you’ll be able to harness the power of AI-assisted data analysis with ease.

Course Purpose and Overview:

The primary goal of this course is to empower learners to conduct basic data analysis using Google Colab and Gemini AI. You will learn how to:

• Set up and navigate the Colab interface.
• Utilize Gemini AI to generate Python code through natural language prompts.
• Upload, manage, and analyze datasets.
• Generate key insights and visualize data effectively.

The course consists of six structured lessons, each focusing on practical tasks and real-world scenarios. By the end of this course, you’ll have the skills to approach data analysis projects with confidence and efficiency.

Learning Outcomes:

By completing this course, learners will be able to:

• Create and manage notebooks in Google Colab.
• Use Gemini AI to automate Python code generation for data analysis.
• Handle datasets, including uploading, reading, and inspecting data.
• Generate basic data insights, such as statistical summaries and data distributions.
• Visualize data using line charts, bar plots, and histograms with AI-generated code.
• Apply generative AI to streamline data analysis workflows.

Who Should Enroll:

This course is designed for:

• Beginners in Data Analysis: No prior coding experience required.
• Students and Educators: Looking to simplify data analysis tasks.
• Business Professionals: Who need quick insights from company data.
• Anyone Interested in AI Tools: Those who want to explore generative AI in a practical setting.

Whether you are a student, a professional, or a hobbyist, this course will provide you with practical skills to analyze data efficiently using modern AI tools.