Advance Excel Full Course 2026 [FREE] | Advance Excel Tutorial | Advance Excel Course | Simplilearn

TLDR;

This comprehensive Advanced Excel course covers a wide range of topics, from basic data analysis to advanced automation techniques. It emphasizes practical business applications and job readiness, including interview preparation. The course begins by defining data analytics and its various types, then explains why Excel remains a relevant tool despite the emergence of more advanced analytics platforms. It also covers data cleaning, segregation, and organization, as well as essential statistical functions. The course also covers advanced topics such as lookup functions (VLOOKUP, HLOOKUP, XLOOKUP), pivot tables, conditional formatting, data validation, and automation using Power Query and VBA.

• Data analytics is about turning data into actionable insights.
• Excel is still relevant due to its accessibility, versatility, and integration capabilities.
• Advanced techniques like Power Query and VBA enable automation and complex analysis.

Introduction to Advance Excel Full Course 2026 [0:00]

The video introduces an Advanced Excel course designed for data analysis and productivity. It highlights the importance of mastering Advanced Excel for data-driven decision-making, automating tasks, and building business insights. The course covers advanced formulas, data analysis techniques, dashboards, automation, and real-world problem-solving, focusing on practical business scenarios. The agenda includes Excel foundations, advanced formulas, data analysis tools, data cleaning, dashboards, automation with Excel tools, real-world business use cases, and frequently asked interview questions.

Excel for Data Analytics 2026 [4:04]

This chapter defines data analytics as the process of collecting, transforming, and examining data to uncover insights for decision-making. It emphasizes that analytics transforms confusion into clarity, helping decision-makers understand their business. The purpose of data analytics is to identify opportunities and risks, improve operational efficiency, optimize marketing strategies, enhance customer experience, and make data-driven decisions. The chapter also describes the four major types of data analytics: descriptive, diagnostic, predictive, and prescriptive.

Excel Lookup Functions - Vlookup, Hlookup, Xlookup [1:12:41]

This chapter provides a tutorial on Excel lookup functions, specifically VLOOKUP, HLOOKUP, and XLOOKUP. It begins by explaining VLOOKUP, which searches for a value in a column and returns a corresponding value from another column in the same row. The syntax of VLOOKUP includes the lookup value, table array, column index number, and range lookup. The chapter then demonstrates how VLOOKUP performs exact and approximate matches, handles case sensitivity, and uses wildcard characters. It also covers error handling and two-way lookups. The chapter then transitions to HLOOKUP, explaining its use for horizontal lookups, and concludes with a discussion of XLOOKUP, highlighting its advantages and capabilities.

Pivot Tables In Excel [1:52:58]

This chapter introduces pivot tables as a dynamic tool for summarizing and analyzing data in Excel. It explains that pivot tables allow users to create interactive summaries of complex data sets, enabling them to easily identify patterns and trends. The chapter details how to create a pivot table, select relevant fields, and manipulate the layout to extract meaningful insights.

How to Create a Pivot Table Using Multiple Sheets in Excel [1:55:59]

This chapter explains how to create a pivot table using data from multiple sheets in Excel. It describes the process of consolidating data from different sheets into a single pivot table for comprehensive analysis. The chapter outlines the steps to use the Multiple Consolidation Ranges option in the PivotTable wizard, including selecting the data ranges from each sheet and creating page fields to filter the data by sheet.

Excel Sorting And Filtering and How To Sort Data In Excel [1:59:32]

This chapter provides a tutorial on sorting and filtering data in Excel. It explains how to sort data in ascending or descending order based on one or more columns. The chapter also demonstrates how to use filters to display only the rows that meet specific criteria, such as displaying houses in a particular area or with a certain price range. It also covers advanced filtering techniques, including using multiple criteria and extracting data to a different location.

How To Use IF Formula In Excel - ADVANCED TIPS [2:23:09]

This chapter provides advanced tips on using the IF formula in Excel. It begins by explaining the basic IF function and its syntax, then advances to more complex scenarios involving nested IF statements and the AND function. The chapter demonstrates how to use these techniques to evaluate multiple conditions and return different values based on the results. It also covers the IFS function as an alternative to nested IF statements, providing a more concise way to handle multiple conditions.

Conditional Formatting In Excel [2:33:30]

This chapter explains how to use conditional formatting in Excel to visualize data. It demonstrates how to highlight cells based on specific criteria, such as highlighting profits above a certain percentage or identifying train passengers who survived. The chapter covers various conditional formatting options, including highlighting cells, using top/bottom rules, applying data bars and color scales, and using icons to represent data values.

Data Validation In Excel [2:36:49]

This chapter provides a tutorial on data validation in Excel. It explains how to use data validation to restrict data entry into certain cells, ensuring that users enter valid data based on predefined rules. The chapter covers various data validation criteria, including whole numbers, text length, decimal numbers, dates, times, and lists. It also demonstrates how to create input messages and error alerts to guide users and prevent invalid entries.

How To Remove Duplicates In Excel [3:03:29]

This chapter explains how to remove duplicate values in Excel. It demonstrates how to use the Remove Duplicates feature in the Data tab to eliminate duplicate rows from a data set. The chapter also covers how to identify duplicate values using conditional formatting and how to remove duplicates from a specific column while preserving unique values in other columns.

Advance Excel Power Query Tutorial For Beginners [3:07:41]

This chapter provides a tutorial on Power Query in Excel for beginners. It explains that Power Query is a tool for extracting, transforming, and loading data from various sources. The chapter covers how to import data from text files and web sources, clean and transform data using the Power Query Editor, and perform operations such as removing rows, extracting text, splitting columns, and changing data types. It also demonstrates how to perform statistical analysis and mathematical operations using Power Query.

Essential Skills For Data Analysis In Advance Excel [4:05:23]

This chapter discusses essential skills for data analysis in Advanced Excel. It begins by defining data analytics and its purpose, emphasizing the transformation of data into actionable intelligence. The chapter then describes the four major types of data analytics: descriptive, diagnostic, predictive, and prescriptive. It also explains why Excel remains relevant for data analysis due to its accessibility, analytical capabilities, integration, and real-world use cases.

Automation using Power Query 2026 [4:21:05]

This chapter focuses on automation using Power Query. It presents a scenario where a data analyst needs to filter data, perform calculations, and identify loan applicants with good credit scores on a daily or weekly basis. The chapter demonstrates how to use Power Query to automate these tasks, including connecting to data sources, filtering data based on specific criteria, adding custom columns with mathematical calculations, and creating conditional columns for risk assessment.

Advance Excel Macros And VBA For Beginners [4:39:39]

This chapter introduces macros and VBA (Visual Basic for Applications) in Excel for beginners. It explains that macros are used to automate repetitive tasks by recording mouse clicks and keystrokes. The chapter covers how to activate the Developer tab in Excel, record a macro, and run it on a new sheet. It also demonstrates how to add a button to run a macro with a single click and how to edit macros using the VBA editor. The chapter then provides an overview of VBA, explaining its purpose and advantages, and describes the VBA editor interface, including the toolbar, menu bar, code window, project explorer, properties window, and immediate window.

Automation Anywhere - Advance Excel Automation Operations With Examples [5:42:06]

This chapter focuses on Excel automation operations using Automation Anywhere. It begins by introducing Automation Anywhere and its capabilities for automating end-to-end business operations. The chapter then discusses the different Excel packages offered by Automation Anywhere, including Excel Advanced, Excel Basic, and Office 365 Excel. It also covers various Excel commands, such as Open Spreadsheet, Close Spreadsheet, Get Cell, Set Cell, and Run Excel Macro. The chapter concludes with a demo on merging two Excel files using Automation Anywhere.

Top Advance Excel Questions Asked In Interviews [6:01:55]

This chapter addresses frequently asked interview questions related to Advanced Excel. It covers topics ranging from basic concepts to more complex techniques, providing detailed explanations and examples. The questions include defining cell addresses, explaining relative and absolute cell referencing, freezing panes, protecting worksheets, differentiating between functions and formulas, understanding the order of operations, using wildcards, and applying conditional formatting. The chapter also covers advanced topics such as using the INDEX and MATCH functions, creating drop-down lists, applying advanced filters, using descriptive statistics, creating pivot tables, and automating tasks with macros and VBA.