The course blends advanced Excel techniques with AI-powered analytical tools, enabling participants to work smarter, automate repetitive tasks, and derive meaningful insights from data. With hands-on training, real-world case studies, and guided practice, learners gain skills that enhance academic performance, research capabilities, and career readiness.
Objectives:
To develop a strong foundation in advanced Excel tools and functions for effective data analysis
To introduce the application of Artificial Intelligence (AI) in Excel for smart and automated data handling
To enhance participants’ skills in data cleaning, visualization, and dashboard creation
To enable learners to perform data-driven decision-making for academic and professional use
To improve analytical, problem-solving, and digital skill competencies relevant to industry and research
What you'll learn
Week 1
Day 1 (Monday) – 2 Hours
Module 1: Introduction to Data Analysis & Excel Basics
- Introduction to Data Analysis and its relevance
- Excel Interface and Data Types
- Workbook, Worksheet, and Data Organization
- Basic Formulas and Functions
Day 2 (Tuesday) – 2 Hours
Module 2: Logical & Lookup Functions
- Logical Functions: IF, IFS, AND, OR
- Lookup Functions: VLOOKUP, HLOOKUP
- Introduction to XLOOKUP
Day 3 (Wednesday) – 2 Hours
Module 2 (Continued): Advanced Formula Techniques
- INDEX and MATCH
- Text Functions: LEFT, RIGHT, MID, CONCAT
- Date & Time Functions
- Error Handling (IFERROR)
Day 4 (Thursday) – 2 Hours
Module 3: Data Cleaning & Validation
- Data Cleaning Concepts
- Removing Duplicates and Handling Missing Data
- Data Validation Rules
- Conditional Formatting
Day 5 (Friday) – 2 Hours
Module 3 (Continued): Data Transformation
- Sorting and Filtering (Basic & Advanced)
- Introduction to Power Query
- Importing and Transforming Data
Week 2
Day 6 (Monday) – 2 Hours
Module 4: Pivot Tables & Data Analysis
- Creating Pivot Tables
- Data Summarization Techniques
- Grouping and Calculated Fields
Day 7 (Tuesday) – 2 Hours
Module 4 (Continued): Visualization & Dashboards
- Pivot Charts and Slicers
- Charts for Data Visualization
- Designing Interactive Dashboards
Day 8 (Wednesday) – 2 Hours
Module 5: Introduction to AI in Excel
- Overview of AI in Data Analytics
- AI Features in Excel (Analyze Data / Ideas)
- Forecasting and Trend Analysis
Day 9 (Thursday) – 2 Hours
Module 5 (Continued): Automation & AI Applications
- Automation in Excel
- AI-assisted Data Analysis
- Practical Use Cases in Academics and Business
Day 10 (Friday) – 2 Hours
Module 6: Practical Applications & Mini Project
- Hands-on Case Study
- Mini Project using Advanced Excel & AI
Review, Feedback & Doubt Clearing
Apply advanced Excel functions and tools for efficient data analysis
Use AI-enabled features to automate data processing and analysis tasks
Create interactive dashboards and visual reports for better insights
Perform accurate data cleaning, validation, and interpretation
Support data-driven decision-making in academic, research, and professional contexts
Enhance employability through industry-relevant analytical skills
1. What is the duration of the course?
The course is of two weeks, conducted from Monday to Friday, with 2 hours of training each day.
2. Who can enroll in this course?
The course is open to UG & PG students, research scholars, faculty members, and working professionals interested in data analysis.
3. Do I need prior knowledge of Excel?
Basic knowledge of Excel is helpful but not mandatory. The course starts from fundamentals and gradually advances.
4. What tools will be covered in the course?
The course focuses on Advanced Excel, including formulas, Pivot Tables, dashboards, AI-enabled Excel features, and automation techniques.
5. How will AI be used in this course?
Participants will learn to use AI-powered Excel features for data insights, forecasting, automation, and smart decision-making.
6. Will the course be practical or theory-based?
The course is highly practical and hands-on, with real datasets, case studies, and a mini project.
7. Who is the resource person for the course?
The course will be conducted by Mr. Kunal Tiwari, Academician and Researcher at SAGE University Indore and DAVV Indore.
8. What is the registration fee?
The registration fee is ₹1000/- per participant.
9. Will participants receive a certificate?
Yes, participants who successfully complete the course will receive a Certificate of Participation from SAGE University.
10. How will this course benefit my career?
The course enhances data analysis, reporting, and automation skills, improving employability and research efficiency in an AI-driven environment.
