Excel

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Mastering in Microsoft Excel

Become an expert in data management, analysis, and advanced features of Microsoft Excel.

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Excel Basics and Interface

Learn the essentials of Microsoft Excel, including its user interface, basic tools, and common features for working with spreadsheets.

Data Entry and Formatting

Master the art of data entry and formatting in Excel, including cell styles, number formatting, and applying consistent styles for professional spreadsheets.

Advanced Excel Functions

Explore advanced functions such as VLOOKUP, IF statements, pivot tables, and data analysis tools to manipulate and analyze large data sets.

Excel Collaboration and Sharing

Learn how to collaborate with others by sharing Excel files, using comments, track changes, and protecting your worksheets with passwords.

Your Instructor

Instructor

Hello! My name is Ibrahim Khalilullah, and I am a professional Microsoft Excel expert with over 7 years of experience. I specialize in helping individuals and businesses improve their data management and analysis skills using Excel’s powerful tools.

I have helped many people become more efficient and effective at using Microsoft Excel to manage financial data, analyze trends, and automate tasks. Whether you're a beginner learning the basics or someone looking to refine advanced Excel features, I'm here to assist you in mastering Excel.

If you're ready to elevate your Microsoft Excel skills to the next level, let’s get started!

25+

Lectures

60+

Hours

60+

Projects

25+

Videos

Who can participate in this Microsoft Excel course?

  • Individuals looking to enhance their data analysis and spreadsheet skills using Microsoft Excel.
  • Students and professionals who want to master Excel’s functions for academic, business, or personal purposes.
  • Freelancers who wish to offer data entry, analysis, and reporting services using Excel.
  • Business professionals seeking to improve their ability to work with data, manage budgets, and create reports.
  • Entrepreneurs and small business owners who need to manage finances, sales, and inventory using Excel.
  • Those interested in learning advanced features like pivot tables, macros, and data visualization in Excel.

Those for whom participation in this course is not recommended:

  • Individuals who expect immediate mastery of Microsoft Excel without dedicating time to learning its key concepts and functions.
  • People unwilling to spend time learning formulas, advanced data analysis, and automation techniques in Excel.
  • Those uninterested in learning how to organize and manipulate large sets of data using Excel tools.
  • Individuals who prefer using other spreadsheet software and are not open to learning Excel-specific features and methods.

If you're in these categories, this course might not be suitable for you.


What will you learn in this Microsoft Excel course?

  • The basics of Excel including spreadsheet navigation, entering data, and basic formatting.
  • How to use Excel’s built-in formulas and functions to perform calculations and manage data efficiently.
  • How to create and format tables, charts, and graphs to visualize data effectively.
  • Advanced Excel techniques like pivot tables, conditional formatting, and data validation for more powerful analysis.
  • Methods for automating tasks using macros and Excel's built-in features to increase productivity.
  • How to manage large datasets, perform complex analyses, and summarize data using Excel’s tools.
  • How to collaborate on Excel files with multiple users and integrate data from other sources.

What you will need for the course:

  • A computer (desktop or laptop) with Microsoft Excel installed (preferably Excel 2016 or later).
  • Basic knowledge of using spreadsheets or computers will be helpful but is not required.
  • A willingness to explore advanced data analysis and automation features in Microsoft Excel.
  • Proficiency in English or the primary language of your target audience to ensure effective learning.

Special features of the Microsoft Excel course:

  • Comprehensive lessons covering both beginner and advanced features of Microsoft Excel, including complex formulas and data manipulation.
  • Lifetime access to course content and updates, ensuring you stay current with the latest Excel features.
  • Personalized feedback and guidance to help you effectively use Excel for your work or personal projects.
  • Interactive exercises and real-world projects that allow you to apply your skills and solve problems using Excel.
  • Certificate of completion to demonstrate your proficiency in Excel for professional purposes.
  • Access to an active community of learners, providing opportunities for networking, collaboration, and support.

Opportunities after completing the Microsoft Excel course:

  • Become an Excel expert and assist businesses with data analysis, reporting, and financial management.
  • Offer freelance services specializing in data entry, Excel reporting, and automation.
  • Manage your own data analysis, budgeting, and reporting tasks with efficiency using Excel’s advanced features.
  • Consult with businesses on optimizing their data workflows, analysis, and reporting using Microsoft Excel.
  • Work as a data analyst, helping organizations analyze and interpret data for better decision-making.
  • Teach Excel to others, offering workshops or creating online courses to improve Excel skills in various industries.

Course Curriculum

Class 1: Introduction to Excel Basics
  • Overview of Microsoft Excel
  • Navigating the Excel interface
  • Customizing the Excel environment
Class 2: Essential Formulas and Functions
  • Understanding cell references
  • Basic arithmetic functions (SUM, AVERAGE, MIN, MAX)
  • Logical functions (IF, AND, OR)
  • Text functions (CONCATENATE, LEFT, RIGHT)
Class 3: Data Manipulation Techniques
  • Sorting and filtering data
  • Advanced filtering techniques (text filters, number filters)
  • Using data validation for data entry control
  • Removing duplicates
Class 4: Advanced Formulas and Functions
  • Using named ranges
  • Array formulas
  • Lookup and reference functions (VLOOKUP, HLOOKUP, INDEX, MATCH)
  • Financial functions (PV, FV, PMT)
Class 5: Working with Tables and PivotTables
  • Creating Excel tables
  • Structured references in tables
  • Introduction to PivotTables
  • Filtering and sorting PivotTable data
Class 6: Advanced PivotTable Techniques
  • Calculated fields and items
  • Slicers and Timelines
  • PivotCharts
  • Data modeling with Power Pivot
Class 7: Data Analysis with What-If Analysis Tools
  • Goal Seek
  • Scenario Manager
  • Data tables
  • Solver
Class 8: Advanced Data Visualization
  • Creating advanced charts (combo charts, waterfall charts)
  • Customizing chart elements (axes, titles, legends)
  • Using sparklines for trend analysis
  • Interactive charts with form controls
Class 9: Introduction to Macros
  • Understanding macros and VBA (Visual Basic for Applications)
  • Recording and running macros
  • Editing macros in VBA Editor
  • Assigning macros to buttons and shortcuts
Class 10: Automation and Efficiency Tips
  • Using relative and absolute references effectively
  • Creating custom number formats
  • Using data validation for efficiency
  • Customizing the Quick Access Toolbar
Class 11: Collaboration Features
  • Sharing workbooks
  • Tracking changes
  • Protecting worksheets and workbooks
  • Co-authoring in Excel Online
Class 12: Data Import and Export
  • Importing data from external sources (text files, databases)
  • Exporting data to different formats (CSV, PDF)
  • Connecting to external data sources
  • Refreshing data connections
Class 13: Advanced Data Analysis Tools
  • Using Excel's statistical functions
  • Data analysis with Analysis ToolPak
  • Correlation and regression analysis
  • Forecasting with trendlines
Class 14: Financial Analysis Techniques
  • Financial modeling basics
  • NPV and IRR calculations
  • Amortization schedules
  • Using Excel for budgeting and forecasting
Class 15: Advanced Spreadsheet Management
  • Using named ranges and formulas auditing
  • Protecting cells and worksheets
  • Conditional formatting for data visualization
  • Using custom views
Class 16: Advanced Charting Techniques
  • Advanced chart types (radar, bubble, surface charts)
  • Using secondary axes
  • Trendline customization
  • Dynamic charting with dynamic ranges
Class 17: Power Query Fundamentals
  • Introduction to Power Query
  • Connecting to various data sources
  • Data transformation and cleansing
  • Combining data from multiple sources
Class 18: Power Pivot Basics
  • Introduction to Power Pivot
  • Importing data into Power Pivot
  • Creating relationships between tables
  • Introduction to DAX (Data Analysis Expressions)
Class 19: Advanced Power Query Techniques
  • Using parameters and functions in Power Query
  • Advanced data transformation techniques
  • Merging and appending queries
  • Error handling in Power Query
Class 20: Advanced Power Pivot Techniques
  • Creating advanced calculated columns and measures with DAX
  • Time intelligence functions in DAX
  • Handling hierarchies in Power Pivot
  • Advanced data modeling techniques
Class 21: Excel Automation with VBA
  • Introduction to VBA programming
  • Writing and executing VBA macros
  • Variables, data types,
Class 22: Advanced VBA Programming
  • User-defined functions (UDFs) in VBA
  • Working with objects and collections
  • Interacting with other Office applications
  • Creating user forms and dialog boxes
Class 23: Integrating Excel with Other Applications
  • Excel integration with Word and PowerPoint
  • Creating dynamic reports with Excel and Word
  • Using Excel data in Outlook emails
  • Excel integration with SharePoint
Class 24: Excel Dashboards and Reporting
  • Design principles for effective dashboards
  • Creating interactive dashboards with slicers and timelines
  • Dynamic dashboard elements with formulas and VBA
  • Dashboard layout and formatting
Class 25: Final Project and Review
  • Review of course topics and concepts
  • Final project assignment
  • Hands-on practice and application of learned skills
  • Presentation of final projects
  • Course evaluation and feedback collection