Advanced Excel Course | Master Functions & Data Analysis

Excel Training

Our Excel Training will make you master functions and formulas in Excel that will save time and improve productivity. You will also learn unique ways of improving audience engagement and readability in an efficient way to increase sales with our Excel offline course training.

The Excel training helps you understand the use and importance of PowerPivot and PivotTables in data analysis. You will also learn the strategies and tricks to help pass the Microsoft Office Specialist exam on the first attempt. Yuva Sakthi Academy's Excel offline training is best suited for IT graduates, eCommerce graduates, entry to higher-level managers, and people who wish to work in entry-level jobs in the market.

Once the student completes the Excel offline course from Yuva Sakthi Academy, they are provided with the best value Excel training course completion certificate. According to Glassdoor.com, the salary range of an Excel Developer is $107K. The trainers of the Excel course from Yuva Sakthi Academy have expertise working in top MNCs and software companies across the globe.

About Excel Training Course

The course modules of Excel course is crafted based on the latest trends and fulfilling the industry requirements. It means the course module of the Excel training course includes every concept required to pass the Excel exam and any challenging interviews. Our trainers do use of real-life projects, examples, use cases, practical and theoretical training to train Excel to delegates so that they can understand the Excel concept easily. The Excel training will provide in-depth knowledge about managing templates and workbooks, creating advanced objects, charts, and formulas, applying custom layouts and formats, and more.

We deliver the Best Advanced Excel Training Courses , covering all course modules throughout the Advanced Excel Training Training Classes.

Upcoming Training Batches

Yuva Sakthi Academy provides flexible timings to all our students. Here is the AWS Training Course Schedule in our branches. If this schedule doesn’t match please let us know. We will try to arrange appropriate timings based on your flexible timings.

Time	Days	Batch Type	Duration (Per Session)
8:00AM - 12:00PM	Mon - Sat	Weekdays Batch	4Hr - 5:30Hrs
12:00PM - 5:00PM	Mon - Sat	Weekdays Batch	4Hr - 5:30Hrs
5:00PM - 9:00PM	Mon - Sat	Weekdays Batch	4Hr - 5:30Hrs

Syllabus of Advanced Excel Training Course

Download Curriculum

Advanced Excel Course - Overview of Excel Basics

Customizing Common Options in Excel: Learn how to personalize Excel’s interface and settings, including Ribbon customization, Quick Access Toolbar, and default settings.
Absolute and Relative Cell References: Understand the difference between absolute, relative, and mixed cell references and their applications in formulas.
Protecting and Unprotecting Worksheets and Cells: Discover how to secure your data by protecting worksheets and specific cells, including setting passwords and permissions.

Advanced Excel Course - Working with Functions

Writing Conditional Expressions (using IF): Master the IF function to create conditional logic in your formulas, and explore nested IF statements for more complex conditions.
Using Logical Functions (AND, OR, NOT): Learn how to combine multiple conditions using AND, OR, and NOT functions to enhance decision-making in your formulas.
Using Lookup and Reference Functions (VLOOKUP, HLOOKUP, MATCH, INDEX): Get in-depth knowledge on retrieving data from different ranges and tables using powerful lookup functions like VLOOKUP, HLOOKUP, MATCH, and INDEX.
Advanced VLOOKUP Techniques: Apply VLOOKUP with exact match, approximate match, and understand how to use it with tables, dynamic ranges, and multiple criteria.
Nested VLOOKUPs: Learn how to nest VLOOKUP functions for more complex data retrieval scenarios, including combining it with other functions.
Data Consolidation with VLOOKUP: Use VLOOKUP to consolidate data from multiple sheets and workbooks, streamlining data analysis across different sources.

Advanced Excel Course - Data Validation

Creating Data Validation Rules: Implement data validation to control what can be entered into a cell, ensuring data accuracy and consistency.
Setting Up Custom Data Validation: Define custom rules using formulas to enforce complex data validation scenarios tailored to specific needs.
Creating Dropdown Lists: Learn how to create dropdown lists to standardize data entry and make your worksheets more user-friendly.

Advanced Excel Course - Working with Templates

Designing the Structure of a Template: Create and design templates that can be reused for standardizing data entry and reporting across your organization.
Using Templates for Standardization: Explore how to apply templates to streamline repetitive tasks and maintain consistency across various Excel workbooks.

Advanced Excel Course - Sorting and Filtering Data

Sorting Data: Master sorting techniques including single-level, multi-level, and custom sorting to organize your data efficiently.
Filtering Data: Use AutoFilter and advanced filtering options to display only the data you need, enabling quick and easy data analysis.
Advanced Filtering Techniques: Implement advanced filtering to extract specific datasets based on complex criteria, enhancing your data analysis capabilities.

Advanced Excel Course - Working with Reports

Creating Subtotals: Learn to calculate subtotals and manage multi-level subtotals within large datasets for detailed analysis.
Advanced PivotTables: Dive deep into PivotTables, including creating, formatting, and customizing them for various reporting needs.
Pivot Charts: Create dynamic PivotCharts to visualize your PivotTable data, making it easier to identify trends and insights.
Data Consolidation Using PivotTables: Consolidate data from multiple sheets, workbooks, and external sources using PivotTables to perform comprehensive analysis.

Advanced Excel Course - More Functions

Date and Time Functions: Master Excel’s date and time functions to perform calculations involving time, including DATE, TIME, NOW, and more.
Text Functions: Learn how to manipulate text within your spreadsheets using functions like CONCATENATE, TEXT, LEFT, RIGHT, and MID.
Database Functions: Utilize Excel’s database functions such as DGET, DSUM, and DCOUNT for managing and analyzing large datasets.
Power Functions: Leverage powerful functions like COUNTIF, COUNTIFS, SUMIF, and SUMIFS to perform conditional counting and summing operations.

Advanced Excel Course - Formatting

Auto Formatting: Use Excel’s auto formatting features to quickly apply consistent formatting across your worksheets.
Conditional Formatting: Apply conditional formatting to highlight important data points, trends, and exceptions using custom rules.

Advanced Excel Course - What-If Analysis

Goal Seek: Use Goal Seek to find the input value that achieves a desired result in a formula, enabling you to explore various scenarios.
Data Tables: Learn how to create and use one-variable and two-variable data tables for sensitivity analysis in financial modeling.
Scenario Manager: Manage and compare different business scenarios by creating and analyzing multiple scenarios within a worksheet.

Advanced Excel Course - Charts

Creating Charts: Discover how to create various types of charts including bar, column, line, and pie charts to visually represent your data.
Modifying and Formatting Charts: Learn advanced techniques for modifying and formatting charts to make them more informative and visually appealing.

Advanced Excel Course - Macros

Recording Macros: Automate repetitive tasks by recording macros, and understand how to run, edit, and manage them in Excel.
Assigning Macros to Buttons: Enhance interactivity by assigning macros to buttons, making it easier to perform automated tasks.
Editing Macros: Get familiar with the Visual Basic for Applications (VBA) editor to edit recorded macros and write custom VBA code.

Advanced Excel Course - Working with Forms

Creating Forms: Learn how to create user-friendly forms within Excel for data entry, surveys, and other purposes.
Modifying Forms: Customize forms by adding controls like drop-downs, checkboxes, and buttons, enhancing the user experience.
Using Form Controls: Utilize form controls in Excel to create interactive worksheets and dashboards that allow users to interact with data.

Trainer Profile of Advanced Excel Training Course

Our Trainers provide complete freedom to the students, to explore the subject and learn based on real-time examples. Our trainers help the candidates in completing their projects and even prepare them for interview questions and answers. Candidates are free to ask any questions at any time.

Trained more than 2000+ students in a year.
Strong Theoretical & Practical Knowledge.
Certified Professionals with High Grade.
Expert level Subject Knowledge and fully up-to-date on real-world industry applications.
Trainers have Experienced on multiple real-time projects in their Industries.
Our Trainers are working in multinational companies such as CTS, TCS, HCL Technologies, ZOHO, Birlasoft, IBM, Microsoft, HP, Scope, Philips Technologies etc

Key Features of Our Training Institute

One on One Teaching

Flexible Timing

Fully Practical Oriented Classes

Class Room Training

Online Training

Corporate Training

100 % Placement

Training Courses Reviews

I highly recommend the computer training institute for anyone who wants to improve their computer skills. The instructors are knowledgeable and patient, and they create a comfortable and supportive learning environment. The curriculum is well-structured and covers a range of topics, from basic computer operations to advanced programming languages.

TOM DINESH

*Right place to learn new technologies *Self motivated staffs ... *This institution is a good start for emerging youngster who has a passion in their life I have trained for core Java. It was very useful to learn java from basic level. *The trainers are knowledgeable and real time worked employees. I like this institutions be hope with us. You are really reached your goals....

Harish Arjunan

One of the best academy to easy learn tally prime from kalpana mam one to one teaching is very excellent ..,coaching is very good and motivational person are here ...great service and excellent teach and friendly staff, good environment and comfortable to learn easily Thank you for wonderfull guide mam. ....

Priya Mohan

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Frequently Asked Questions

What are some advanced features of Microsoft Excel?

Advanced features in Microsoft Excel include:

Advanced Formulas: Utilizing complex formulas and array functions for intricate calculations and data manipulation.
Power Query: Extracting, transforming, and loading (ETL) data from multiple sources using Power Query for streamlined data preparation.
Power Pivot: Creating data models and relationships, and performing advanced data analysis with large datasets using Power Pivot.
Dynamic Arrays: Leveraging dynamic array formulas to automatically spill results across multiple cells based on data changes.
What-If Analysis: Analyzing scenarios and exploring different outcomes using Goal Seek, Data Tables, and Scenario Manager.
Solver: Optimizing complex problems and finding optimal solutions using Solver add-in for Excel.
Macros and VBA: Automating tasks and developing custom solutions with Visual Basic for Applications (VBA) for enhanced productivity.
Conditional Formatting: Applying advanced rules, custom formulas, and icon sets to visually highlight trends and patterns in data.
Sparklines and Data Bars: Creating miniature charts within cells and visualizing data trends using sparklines and data bars.
Collaboration and Sharing: Collaborating on workbooks, tracking changes, and securing data with advanced sharing and protection features.

How can Power Query enhance data analysis in Excel?

Power Query is a powerful data connectivity and transformation tool in Excel that enhances data analysis by:

Data Extraction: Importing data from multiple sources such as databases, websites, and files into Excel.
Data Transformation: Cleaning, reshaping, and combining data from different sources for analysis using intuitive steps.
Automated Refresh: Automatically refreshing and updating imported data to reflect changes and ensure data accuracy.
Query Folding: Optimizing query performance by pushing data transformation steps back to the data source where possible.
Advanced Data Cleansing: Removing duplicates, handling errors, and applying transformations with robust data cleansing capabilities.
Custom Columns and Functions: Creating custom calculations and transformations using M language formulas and functions.
Merging and Appending: Combining data tables through merging queries and appending data from multiple sources.
Parameterized Queries: Using parameters to dynamically adjust query results based on user inputs or variables.
Integration with Power BI: Seamlessly integrating with Power BI for advanced data modeling, visualization, and analytics.
Export and Sharing: Exporting transformed data back to Excel or other destinations and sharing query steps for transparency and collaboration.

What is Power Pivot and how is it used in Excel?

Power Pivot is an Excel add-in that enables users to create sophisticated data models, perform advanced data analysis, and generate powerful insights. It is used for:

Data Modeling: Importing and relating large datasets from multiple sources to create comprehensive data models.
Relationships: Establishing relationships between tables to analyze data across different data sources and tables.
Calculated Columns and Measures: Creating calculated columns and measures using Data Analysis Expressions (DAX) for advanced calculations and aggregations.
Hierarchical Navigation: Defining hierarchies to drill down into data and explore relationships visually.
KPIs and Metrics: Defining key performance indicators (KPIs) and metrics to measure business performance and trends.
Data Analysis: Performing complex data analysis, including time intelligence, forecasting, and statistical functions.
Integration with Excel: Seamlessly integrating Power Pivot models with Excel workbooks for enhanced reporting and visualization.
Scalability: Handling large datasets efficiently and processing millions of rows of data for in-depth analysis.
BI Dashboards: Building interactive dashboards and reports with slicers, pivot tables, and pivot charts based on Power Pivot data models.
Collaboration and Sharing: Sharing Power Pivot workbooks, data models, and insights with colleagues for collaborative analysis and decision-making.

How do dynamic arrays work in Excel?

Dynamic arrays in Excel allow formulas to return multiple values and automatically spill results into neighboring cells:

Spill Range: Formulas that support dynamic arrays can spill results horizontally or vertically into adjacent cells.
Single Cell Input: Entering a formula in a single cell can generate multiple results across a spill range based on input data.
Seamless Calculation: Excel handles dynamic array calculations efficiently, updating results dynamically as underlying data changes.
Array Functions: Using array functions such as SORT, FILTER, UNIQUE, and SEQUENCE to manipulate and extract data dynamically.
Integration: Dynamic arrays integrate with other Excel features like conditional formatting, charts, and PivotTables for enhanced data visualization.
Formula Efficiency: Simplifying complex calculations and reducing the need for traditional array formulas by leveraging spill ranges.
Flexible Data Analysis: Analyzing large datasets and performing calculations across dynamic array spill ranges for comprehensive data insights.
Excel Version Compatibility: Dynamic arrays are available in newer versions of Excel, enhancing formula capabilities and data analysis functionality.
User Interface: Visual cues and editing features in Excel help users manage and interact with dynamic array formulas effectively.
Future Applications: Expanding dynamic array functionality to more Excel functions and scenarios for advanced data processing and visualization.

How can Excel's What-If Analysis tools be used for scenario planning?

Excel's What-If Analysis tools enable users to analyze different scenarios and assess potential outcomes:

Data Tables: Using data tables to perform sensitivity analysis and compare results based on different input values. Scenario Manager: Creating and managing multiple scenarios with varying input values to evaluate different business strategies.
Goal Seek: Determining the input value required to achieve a specific goal or target output in a formula-driven model.
Solver: Solving optimization problems by adjusting multiple variables to maximize or minimize a defined objective, subject to constraints.
Dynamic Scenarios: Using Excel's dynamic arrays and data validation features to create interactive scenario models that update in real-time.
Scenario Reporting: Generating reports, charts, and visualizations to present scenario analysis results and insights effectively.
Risk Analysis: Assessing risks and uncertainties by exploring worst-case, best-case, and most likely scenarios based on probabilistic models.
Decision Support: Using scenario planning to make informed decisions, mitigate risks, and optimize resource allocation and business strategies.
Collaboration: Sharing scenario models and analysis with stakeholders for feedback, collaboration, and consensus-building.
Continuous Improvement: Iteratively refining scenarios based on new data, market conditions, and business insights to adapt strategies dynamically.
Strategic Planning: Incorporating What-If Analysis into strategic planning processes to align business goals with actionable insights and predictive analytics.

How does Excel support financial modeling and forecasting?

Excel is widely used for financial modeling and forecasting due to its:

Financial Functions: Built-in financial functions like NPV, IRR, PV, FV, and PMT for cash flow analysis and investment valuation.
Scenario Analysis: Using What-If Analysis tools to assess financial impacts of different scenarios, assumptions, and variables.
Time Series Analysis: Analyzing historical data trends and patterns to forecast future financial performance using statistical tools.
Regression Analysis: Applying regression models to predict relationships between variables and optimize forecasting accuracy.
Budgeting and Planning: Developing budget models, tracking actual vs. budgeted expenses, and performing variance analysis.
Sensitivity Analysis: Evaluating sensitivity of financial models to changes in input variables and external factors.
Data Visualization: Creating charts, graphs, and dashboards to visualize financial data trends, forecasts, and KPIs.
Scenario Planning: Developing multiple financial scenarios to prepare for uncertainties and make strategic decisions.
Financial Reporting: Generating financial statements, balance sheets, income statements, and cash flow projections.
Excel Add-Ins: Using add-ins like Power Query, Power Pivot, and Solver for advanced data analysis, modeling, and optimization.

How can Excel macros automate complex tasks and workflows?

Excel macros automate repetitive tasks and complex workflows by:

Recording Macros: Recording user actions and keystrokes to create automated procedures and tasks.
Visual Basic for Applications (VBA): Writing and editing VBA code to customize macros and perform advanced operations.
Batch Processing: Automating batch operations such as data entry, formatting, and report generation.
Data Extraction and Transformation: Automating data import, cleansing, and transformation processes using VBA.
Report Generation: Creating automated reports, dashboards, and visualizations based on updated data.
Integration with External Systems: Interfacing with databases, ERP systems, and APIs to automate data exchange and processing.
Error Handling and Validation: Implementing error-handling routines and data validation checks to ensure macro reliability.
User Interaction: Incorporating user input and prompts into macros for interactive automation.
Task Scheduling: Scheduling macros to run at specific times or intervals to streamline regular tasks and reporting.
Security and Access Control: Applying security measures to protect macros and prevent unauthorized access or execution.

How can Excel be used for advanced data analysis and visualization?

Excel supports advanced data analysis and visualization through:

PivotTables: Creating interactive pivot tables to summarize, analyze, and explore large datasets.
PivotCharts: Generating visual representations of PivotTable data for insightful data analysis.
Power Query: Importing and transforming data from multiple sources for advanced data preparation.
Power Pivot: Building data models and relationships for sophisticated data analysis and calculations.
Advanced Formulas: Using complex formulas and functions for intricate calculations and data manipulation.
Statistical Analysis: Applying statistical functions and tools to analyze data trends and patterns.
Regression Analysis: Performing regression analysis to identify relationships between variables.
Forecasting and Trend Analysis: Using historical data to forecast future trends and business performance.
What-If Analysis: Exploring different scenarios and assessing potential outcomes based on variable inputs.
Data Visualization: Creating charts, graphs, and dashboards to present data insights effectively.

How does Excel support collaborative work environments?

Excel facilitates collaboration in work environments through:

Shared Workbooks: Allowing multiple users to edit the same workbook simultaneously with real-time updates.
Co-Authoring: Collaborating on Excel workbooks online through cloud-based platforms like OneDrive or SharePoint.
Comments and Notes: Adding comments, notes, and annotations to cells or ranges for discussions and feedback.
Track Changes: Monitoring and reviewing changes made by collaborators with detailed revision history.
Version Control: Managing different versions of workbooks to track changes and revert to previous versions if needed.
Security and Permissions: Setting access permissions and sharing controls to protect sensitive data and manage user roles.
Integration with Office 365: Integrating with other Microsoft Office apps and services for seamless collaboration and document management.
Online Sharing: Sharing Excel workbooks via links or email attachments for easy access and collaboration.
Workflow Automation: Automating collaborative workflows using Excel macros, forms, and shared templates.
Team Productivity: Enhancing team productivity through shared insights, data analysis, and decision-making support in Excel.

How can Excel be used for business intelligence (BI) and reporting?

Excel serves as a powerful tool for business intelligence (BI) and reporting by:

PivotTables: Creating interactive pivot tables to analyze and summarize large datasets.
PivotCharts: Generating visual representations of PivotTable data for insightful data analysis.
Power Query: Importing and transforming data from multiple sources for comprehensive data preparation.
Power Pivot: Building data models and relationships for sophisticated data analysis and calculations.
Advanced Formulas: Using complex formulas and functions for precise calculations and data manipulation.
Dashboard Creation: Designing interactive dashboards with charts, graphs, and slicers for visual data analysis.
Dynamic Reporting: Generating dynamic reports that update automatically based on changing data.
Data Visualization: Visualizing trends, patterns, and insights using charts, graphs, and conditional formatting.
Integration with Power BI: Integrating Excel with Power BI for advanced data modeling, analytics, and interactive reporting.
Collaborative Insights: Sharing BI reports, dashboards, and analysis with stakeholders for informed decision-making.

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Advanced Excel