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Advanced MS Excel encompasses complex data analysis techniques, including pivot tables, advanced formulas, macros, data visualization, and automation tools. It enables users to handle large datasets efficiently and create dynamic reports for informed decision-making.
Prerequisites
Prerequisites for learning MS Excel include basic computer operation skills, familiarity with operating systems, and understanding file management to navigate and utilize the software effectively.
Learning Objectives
The learning objectives of Advanced MS Excel include mastering complex formulas, data analysis tools, pivot tables, macros, and creating dynamic charts for enhanced data visualization and reporting.
Course Overview
- Overview of Basic Functions and Formulas
- SUM, AVERAGE, COUNT, MIN, MAX
- Conditional Functions: IF, AND, OR
- Using Named Ranges
- Data Formatting and Validation
- Custom Number Formatting
- Data Validation (Lists, Dates, Custom Rules)
- Logical and Lookup Functions
- Nested IF, IFS
- VLOOKUP, HLOOKUP, XLOOKUP
- INDEX-MATCH for Dynamic Lookups
- Text Functions
- CONCATENATE, TEXTJOIN
- LEFT, RIGHT, MID, LEN, FIND, SEARCH
- Date and Time Functions
- TODAY, NOW, NETWORKDAYS, WORKDAY
- EOMONTH, YEARFRAC
- Creating and Managing Pivot Tables
- Setting up Pivot Tables from Multiple Sources
- Pivot Table Layout and Field Options
- Using Slicers and Timelines for Filtering
- Advanced Pivot Table Features
- Calculated Fields and Items
- Grouping Data (By Date, Custom Grouping)
- Pivot Charts for Visual Analysis
- Creating and Customizing Charts
- Line, Column, Bar, Pie, and Combo Charts
- Dynamic Charts with Data Ranges
- Advanced Charting Techniques
- Sparklines, Conditional Formatting for Charts
- Waterfall, Funnel, and Radar Charts
- Creating Dashboards with Linked Charts
- Working with Advanced Filters
- Applying Complex Filter Criteria
- Extracting Unique Records
- Data Consolidation and Linking
- Consolidating Data from Multiple Sheets/Workbooks
- Linking Data Across Workbooks
- Goal Seek, Solver, and Scenario Manager
- Performing What-If Analysis
- Setting Up and Solving Optimization Problems
- Array Formulas
- Creating and Using Dynamic Arrays
- Multi-criteria Calculations with Array Formulas
- Error Handling Functions
- IFERROR, IFNA, ISERROR
- Introduction to Power Query
- Data Transformation with Power Query Editor
- Automating Data Cleaning Processes
- Introduction to Excel Macros
- Recording and Editing Basic Macros
- Assigning Macros to Buttons
- VBA Basics
- Introduction to VBA Editor
- Writing Simple VBA Code to Automate Tasks
- Looping and Conditional Statements in VBA
- Sharing and Collaborating on Workbooks
- Protecting Workbooks, Sheets, and Cells
- Track Changes and Comments
- Data Security and Permissions
- Encrypting Workbooks with Passwords
- Restricting Access to Specific Users
- End-to-End Excel Project
- Data Import, Cleaning, and Analysis
- Building Dashboards with Pivot Tables and Charts
- Automating Processes with Macros and Power Query
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Our Courses
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Placement Assistance
Placement assistance offered for a successful career.
Membership
Membership provided until the final examination.
Personalized Attention
Personalized attention provided to each student.
Get Course Certificate
Certificate awarded upon completion of the course.
Monthly Tests
Regular monthly test series for progress evaluation.
Latest CBSE Syllabus
Training modules aligned with the latest CBSE syllabus.
Frequently Asked Questions
Courses typically last two months
Roles such as Data Analyst, Financial Analyst, Business Analyst, and Operations Manager often require proficiency in Advanced Excel.
Training includes advanced formulas, pivot tables, data analysis tools, macros, and data visualization techniques.
Yes, a foundational understanding of basic Excel functions is recommended before pursuing Advanced Excel training.
Yes, proficiency in Advanced Excel significantly enhances employability and can lead to career advancement in various fields.
Industries such as finance, marketing, healthcare, and logistics frequently use Advanced Excel for data analysis and reporting.
