By the end of this course, you will be able to
Understand key concepts of AI and GenAI in data analysis.
Use AI tools to explore, clean, and transform datasets.
Create dashboards and visualizations using AI-powered platforms.
Automate reporting and trend analysis using no-code workflows.
Apply AI insights to decision-making and forecasting tasks.
Understand the role of Multi-Agent Systems in automating data workflows end-to-end (cleaning → analysis → reporting).
Course Details
- 1h 25min / 20 lessons
- Last updated: 22/7/2026
- Course completion certificate
Course Content
Course Introduction
LLMs’ Role in Data Analysis
Course Introduction
AI and Generative AI: Uses & Differences
LLMs’ Role in Data Analysis
How AI Tools Perform Data Analysis
Comparing Multiple Datasets With ChatGPT
Data Context to Narrative in Data Analysis
ChatGPT: Follow-Up Questions on a Dataset
Perform Correlation Analysis Using ChatGPT
How to Clean & Structure a Dataset Using AI
AI in Marketing: Sentiment Analysis Using ChatGPT
How to Visualize Data With ChatGPT
Creating an Interactive Dashboard With Canvas Mood
Generating Trendlines From a Dataset
Multi-Agent Systems With ChatGPT
How to Build a Custom GPT Data Analyst
Developing & Editing Your Custom GPT
Creating a Full Automation Workflow
Create an Automated Workflow Using (Make.com)
Final Project
Course Conclusion
About this course
This course provides professionals and non-technical roles with hands-on practical experience in using AI for modern data analysis. It begins by explaining the differences between traditional and generative AI, their use cases, and how to interpret spreadsheets and trends, progressing to building dashboards, automating insights, and clearly communicating results. The course also covers advanced concepts such as multi-agent systems and building and refining a specialized GPT model, culminating in the creation and practical implementation of a fully automated workflow using Make.com. Learners will gain practical AI skills applicable across a wide range of industries and roles.
Course requirements and prerequisites
This course requires a basic understanding of spreadsheets or data tables.
Instructor
Meska AI
Egyptian Company Specializing in Artificial Intelligence Education
80 Learners
14 Courses