Data Analysis with Generative AI

In the era of big data, mastering the ability to clean, analyze, and visualize datasets is essential for driving insights and informed decision-making. This course introduces participants to the use of Generative AI for enhancing data analysis workflows. By leveraging AI tools, participants will learn to automate tedious tasks such as data cleaning, extract meaningful summaries, and create impactful visualizations that bring data to life.

Designed for data analysts and business professionals, the course combines foundational knowledge with hands-on exercises. Real-world case studies illustrate how AI can transform data analysis, making complex processes faster and more efficient. Participants will leave with actionable skills to integrate Generative AI into their data analysis toolkit.

Who should attend?

This training course is intended for:

• Data analysts looking to automate and enhance their data workflows.
• Business professionals working with large datasets who want to extract meaningful insights efficiently.
• Team leads and managers responsible for data-driven decision-making.
• Consultants and strategists aiming to incorporate AI into their data analysis processes.
• Professionals transitioning into data-centric roles and seeking to upskill.

Learning objectives

Upon successful completion of this training course, the participants will be able to:

• Understand the role of Generative AI in modern data analysis workflows.
• Automate data cleaning processes to save time and improve accuracy.
• Develop skills to summarize complex datasets into actionable insights.
• Create compelling data visualizations using AI tools.
• Apply learned techniques through case studies and hands-on practice.

Educational approach

The training course is participant centered and contains:

• Hands-on exercises to practice cleaning, summarizing, and visualizing data with AI.
• Case studies showcasing real-world applications of Generative AI in data analysis.
• Focus on practical implementation, with less emphasis on theory.
• Resources and tools provided to support continuous learning and exploration.

Prerequisites

There are no prerequisites to participate in this training course.

Course Agenda

1. Introduction to Data Analysis with AI
   1. Overview of Generative AI in data workflows.
   2. Key benefits and limitations of using AI for data analysis.
2. Automating Data Cleaning
   1. Identifying common data quality issues.
   2. Techniques for automating data preprocessing and cleaning with AI.
3. Summarizing and Visualizing Data
   1. Generating meaningful summaries of complex datasets.
   2. Creating impactful visualizations using AI tools and templates.
4. Case Studies and Practical Exercises
   1. Analysis of real-world scenarios where AI enhanced data workflows.
   2. Hands-on exercises to apply concepts learned in the course.

Certificate requirements

Upon successful completion of all course requirements, participants will receive a Certificate of Completion in “Data Analysis with Generative AI.”