Course Overview

This 6-month Data Analysis with AI program teaches students how to collect, clean, analyze, visualize, and interpret data using the most in-demand tools — Excel, SQL, and Python — with AI assistance at every step.
The course focuses on practical business datasets, automation techniques, dashboards, and AI-powered insights.

Designed for beginners and aspiring analysts who want simple explanations, hands-on tasks, and real projects guided by AI.

What Students Will Gain

• Strong foundation in Excel, SQL, and Python for data work
• Ability to clean, transform, and analyze datasets
• Real-world dashboards using Excel / Power BI / Tableau
• Confidence to interpret trends and generate insights
• AI-assisted formulas, cleaning, visualizations, reports, and explanations
• A complete portfolio project suitable for internships and job applications

Detailed Course Modules

Module 1 – Introduction to Data Analysis & AI Tools

Topics Covered

• What is data analysis?
• Types of data (categorical, numerical, structured, unstructured)
• Data lifecycle: collection → cleaning → analysis → reporting
• AI tools used in data analysis (ChatGPT, Gemini, Copilot)

AI Integration

• Quick insights from raw data
• Simple explanations for complex concepts
• Auto-generated examples and assignments

Module 2 – Excel for Data Analysis

Topics Covered

• Excel interface & productivity shortcuts
• Formulas & functions (SUMIF, COUNTIF, VLOOKUP, etc.)
• Sorting, filtering, data formatting
• Pivot tables and pivot charts
• Dashboards & slicers

AI Integration

• AI-generated formulas
• Dashboard layout suggestions
• Error-fixing for formulas and data types

 Module 3 – SQL for Data Analysis

Topics Covered

• What is a database?
• Creating and querying tables
• SELECT, WHERE, GROUP BY, ORDER BY
• JOINS & subqueries
• Working with real datasets

AI Integration

• AI-generated SQL queries
• Query optimization suggestions
• Debugging SQL errors with AI

Module 4 – Python for Data Analysis

Topics Covered

• Python basics for analysts
• Pandas for data cleaning and manipulation
• NumPy for numerical operations
• Matplotlib/Seaborn for visualizations

AI Integration

• Auto-generated analysis scripts
• Cleaning and preprocessing suggestions
• Graph interpretation support

Module 5 – Data Cleaning & Preparation

Topics Covered

• Handling missing values
• Outlier detection
• Data type conversions
• Data normalization
• Working with messy datasets

AI Integration

• AI-suggested cleaning strategies
• Automated step-by-step cleaning flow
• Recommended transformations for better analysis

Topics Covered

• Summary statistics: mean, median, variance, correlation
• Visualization types: bar, line, scatter, heatmap
• Trend and pattern detection
• Comparing segments and categories

AI Integration

• AI-generated charts
• Auto-interpretation of trends
• Insight summaries for reports

 Module 7 – AI Tools for Data Analysis

Topics Covered

• Using AI to automate repetitive tasks
• AI for forecasts (without ML modeling)
• AI-powered visualization tools
• Business insight generation with AI

AI Integration

• Generate full reports instantly
• Dashboard insight explanations
• Suggest KPIs and business conclusions

 Module 8 – Dashboard Building (Excel / Power BI / Tableau)

Topics Covered

• Building interactive dashboards
• Slicers, filters, drill-downs
• Publishing and sharing dashboards
• Design best practices

AI Integration

• AI-suggested dashboard layouts
• Recommended chart types for each dataset
• Automated insight summaries

Module 9 – AI-Assisted Data Project

Project Options

• Sales performance dashboard
• Customer segmentation analysis
• Trend forecasting & insights
• Product performance / profitability analysis

AI Integration

• Project planning & step-by-step execution
• Code, formulas, and SQL queries generated by AI
• Data cleaning, visualization, and final reporting help

Learning Outcomes

By the end of the course, learners will be able to:

✔ Analyze, clean, and interpret datasets confidently
✔ Work comfortably with Excel, SQL & Python
✔ Build complete dashboards with business insights
✔ Use AI tools to automate reports and improve accuracy
✔ Understand real business KPIs and data storytelling
✔ Create a professional portfolio project for job/internship use

Who This Course Is Ideal For

• Students entering data or analytics roles
• Beginners who want a simple, guided learning path
• Professionals wanting to shift into data careers
• Anyone who wants to use AI to work smarter, not harder