This guide provides detailed information about Advanced topics, course fees, career opportunities, and salary expectations
advance excel
road map
📌 Table of Contents
- Introduction to Advanced Excel
- Step 1: Topics Covered in an Advanced Course
- 1.1. Advanced Formulas & Functions
- 1.2. Data Validation & Conditional Formatting
- 1.3. Pivot Tables & Power Query
- 1.4. Data Visualization & Dashboards
- 1.5. Macros & VBA Automation
- 1.6. Financial & Statistical Analysis
Step 2: Course Fees fo
Step 3: Career Opportunities
- 3.1. Career Options
- 3.2. Job Roles & Responsibilities
Step 4: Salary Expectations
- 4.1. Salary for Freshers
- 4.2. Salary for Mid-Level Professionals
- 4.3. Salary for Experts with VBA & Power BI
- 4.4. Monthly Salary Breakdown

1.Introduction to Excel
is used for data analysis, automation, business reporting, and financial modeling. It is essential for professionals in fields like data analytics, finance, accounting, MIS, and business intelligence
2.Step-by-Step Topics Covered in Advanced Course
1.1. Formulas & Functions
- Lookup Functions: VLOOKUP, HLOOKUP, XLOOKUP, INDEX-MATCH
- Logical Functions: IF, AND, OR, IFERROR, IFS
- Text Functions: LEFT, RIGHT, MID, CONCATENATE, TEXTJOIN
- Date & Time Functions: TODAY, NOW, DATEDIF, EOMONTH
- Financial Functions: PMT, FV, NPV,
1.2. Data Validation & Conditional Formatting
- Restricting input values in cells
- Creating dropdown lists
- Highlighting duplicate values
- Applying color scales & icon sets
1.3. Pivot Tables & Power Query
- Creating pivot tables for data analysis
- Using Power Query for data transformation
- Creating calculated fields & slicers
1.4. Data Visualization & Dashboards
- Creating dynamic charts (Bar, Line, Pie, Waterfall)
- Using slicers & timelines for filtering
- Building interactive business dashboards
1.5. Macros & VBA Automation
- Recording and writing macros
- Automating repetitive tasks
- Creating user forms with VBA
1.6. Financial & Statistical Analysis
- Loan and EMI calculations
- Regression analysis & trend forecasting
- Creating business models in
3. Course Fees
2.1. Online Course Fees
Platform | Course Fee (₹) | Duration |
---|---|---|
Udemy | ₹2,000 – ₹5,000 | 10 – 50 Hours |
Coursera | ₹3,500 – ₹8,000 | 4 – 8 Weeks |
LinkedIn Learning | ₹4,000 – ₹10,000 | Self-Paced |
2.2. Offline Training Fees
Institute | Course Fee (₹) | Duration |
---|
NIIT | ₹15,000 – ₹30,000 | 2 – 3 Months |
Aptech | ₹10,000 – ₹25,000 | 1 – 2 Months |
Local Coaching Centers | ₹8,000 – ₹20,000 | 1 – 2 Months |
2.3. Corporate Training Fees
Training Type | Fee per Employee (₹) | Duration |
---|
Basic Training | ₹5,000 – ₹10,000 | 1 Week |
Advanced Training | ₹15,000 – ₹25,000 | 1 Month |
VBA & Power BI | ₹25,000 – ₹50,000 | 2 Months |
4. Career Opportunities After Advanced

3.1. Career Options
After completing course, you can apply for the following job roles:
- Data Analyst
- MIS Executive
- Business Analyst
- Financial Analyst
- Operations Manager
- Excel Specialist
3.2. Job Roles & Responsibilities
Job Role | Key Responsibilities |
---|
Data Analyst | Analyzing large datasets, creating reports, using Excel dashboards |
MIS Executive | Managing business reports, automating reports using macros |
Financial Analyst | Creating financial models, investment analysis |
Business Analyst | Using Excel for decision-making, trend analysis |
Operations Manager | Handling workflow optimization, Excel-based reporting |

Key Features and Techniques
Microsoft at an advanced level includes powerful features for data analysis, automation, and visualization. Below are essential advanced functionalities:
- Pivot Tables & Pivot Charts – Summarize and analyze large datasets efficiently.
- Formulas & Functions – Use INDEX-MATCH, XLOOKUP, IF with AND/OR, ARRAY formulas, and TEXT functions for complex calculations.
- Power Query & Power Pivot – Transform and load data efficiently, enabling advanced data modeling.
- Macros & VBA (Visual Basic for Applications) – Automate repetitive tasks and create custom functions.
- Data Validation & Conditional Formatting – Ensure data accuracy and highlight trends dynamically.
- What-If Analysis – Use Goal Seek, Data Tables, and Scenario Manager for predictive analysis.
- Dynamic Arrays & Advanced Charts – Create interactive reports using FILTER, SORT, UNIQUE, and TREND analysis.
- Data Consolidation & Power BI Integration – Combine multiple datasets and visualize insights dynamically
Advanced Excel: Key Features & Techniques
Advanced Excel skills help in data analysis, automation, and reporting. Key features include:
- Pivot Tables & Charts – Summarize and visualize large datasets.
- Advanced Functions – Use XLOOKUP, INDEX-MATCH, IF, SUMIFS, TEXT, and ARRAY formulas for complex calculations.
- Power Query & Power Pivot – Transform and model data efficiently.
- Macros & VBA – Automate tasks and create custom scripts.
- What-If Analysis – Utilize Goal Seek, Data Tables, and Scenario Manager for predictions.
- Dynamic Arrays & Advanced Charts – Create interactive reports.
Mastering these features boosts efficiency and decision-making in Excel. 🚀