Excel Mastery (From Basics to Advanced Techniques)

Excel Mastery: From Basics to Advanced Techniques is an intensive 25-day program designed to equip participants with comprehensive Excel skills essential for professional success.

This course covers a wide range of topics, starting from fundamental Excel functionalities to advanced techniques such as data analysis, visualization, and automation.

Syllabus:

• Getting Started with MS Excel
• Day 1: Introduction to Excel (2 hours)
• Overview of Excel interface
• Understanding workbooks and worksheets
• Introduction to ribbon and quick access toolbar
• Day 2: Navigating Excel efficiently (2 hours)
• Keyboard shortcuts for efficient navigation
• Using scroll bars and navigation tools
• Customizing Excel settings for personal preferences
• Day 3: Data Entry Techniques (2 hours)
• Best practices for entering and formatting data
• Managing data using autofill and flash fill
• Formatting options for cells and text
• Renaming, inserting, deleting, and organizing sheets
• Grouping and ungrouping worksheets
• Using color codes and tabs for better organization
• Working with Data
• Day 4: Sorting and Filtering Data (2 hours)
• Sorting data:
• Learn how to sort data alphabetically, numerically, and by color to organize information effectively.
• Filtering data:
• Explore Excel’s filtering options to display specific data subsets and analyze information based on criteria.
• Day 5: Data Validation (2 hours)
• Setting up drop-down lists:
• Create drop-down lists to standardize data entry and ensure consistency.
• Restricting data entry:
• Implement data validation rules to prevent incorrect data entry and maintain data integrity.
• Input message creation:
• Provide users with helpful input messages to guide them during data entry and ensure accurate input.
• Day 6: Advanced Filtering (2 hours)
• Utilizing advanced filter criteria:
• Learn how to apply complex filter criteria to extract specific data subsets from large datasets.
• Filtering unique records:
• Discover techniques for filtering unique records based on specific criteria to identify distinct data entries.
• Handling complex filter scenarios:
• Explore strategies for addressing complex filtering scenarios involving multiple criteria and logical operators.
• Tables
• Day 7: Introduction to Excel Tables (2 hours)
• Creating tables:
• Understand the benefits of using Excel tables and how to create them to organize and manage your data efficiently.
• Benefits of using tables:
• Explore the advantages of using Excel tables, including automatic expansion, structured references, and built-in features.
• Managing table data:
• Learn how to add, remove, and modify data within Excel tables while maintaining data integrity and consistency.
• Day 8: Structured References (2 hours)
• Understanding structured references:
• Explore the concept of structured references in Excel formulas and functions, allowing for dynamic referencing within tables.
• Advantages of structured references:
• Learn how structured references enhance formula readability, adaptability to table changes, and error reduction.
• Using structured references in formulas:
• Discover how to leverage structured references in various Excel formulas for efficient data analysis and manipulation within tables.
• Day 9: Sorting and Filtering Tables (2 hours)
• Sorting tables:
• Learn how to sort table data using table-specific sorting options to organize information effectively.
• Filtering tables:
• Explore advanced filtering techniques within Excel tables to analyze and extract specific data subsets based on user-defined criteria.
• Utilizing slicers:
• Understand how slicers can enhance data filtering and visualization within Excel tables, providing an intuitive interface for data exploration.
• Power Query
• Day 10: Introduction to Power Query (2 hours)
• Importing data:
• Learn how to import data from various sources into Excel using Power Query, including external databases, text files, and online sources.
• Transforming data:
• Explore Power Query’s transformation capabilities to clean, reshape, and manipulate imported data for analysis and reporting purposes.
• Cleaning data:
• Discover techniques for cleaning and standardizing data within Power Query, including removing duplicates, handling errors, and formatting data types.
• Working with Formulas (Basic & Advanced)
• Day 11: Review of Basic Formulas (2 hours)
• Recap of basic formulas including SUM, AVERAGE, MAX, MIN, COUNT, etc.
• Day 12: Logical Functions (2 hours)
• Explore logical functions such as IF, AND, OR, NOT, nested IF functions, and logical tests.
• Day 13: Lookup Functions (2 hours)
• Master the application of lookup functions including VLOOKUP, HLOOKUP, INDEX, MATCH, and advanced lookup techniques.
• Day 14: Text Functions (2 hours)
• Acquire proficiency in text manipulation functions such as CONCATENATE, LEFT, RIGHT, MID, FIND, REPLACE, and others.
• Day 15: Date and Time Functions (2 hours)
• Explore date and time functions such as TODAY, NOW, DATE, DAY, MONTH, YEAR, and date-related calculations.
• Day 16: Array Formulas (2 hours)
• Understand array formulas, array constants, and array functions for advanced data manipulation.
• Working with Pivot Tables
• Day 17: Introduction to PivotTables (2 hours)
• Learn how to create PivotTables, select data, and understand PivotTable structure.
• Day 18: PivotTable Layout and Design (2 hours)
• Format PivotTables, change layout options, and apply styles for effective presentation of data.
• Day 19: Filtering and Sorting in PivotTables (2 hours)
• Use slicers, filters, and sorting options in PivotTables for data analysis..
• Day 20: Calculated Fields and Items (2 hours)
• Add calculated fields and items to PivotTables for custom analysis.
• Working with Charts & Graphs
• Day 21: Introduction to Charts & Customizing (2 hours)
• Creating charts, selecting data, and understanding chart types.
• Charts: Formatting chart elements, adding titles, labels, and legends.
• Day 22: Advance Charting Techniques & Interactive Charts (2 hours)
• Using secondary axes, trendlines, and data labels.
• Creating dynamic charts using form controls and dynamic ranges.
• Review and Practice: Hands-on exercises to reinforce charting skills.
• Working with Macros
• Day 23 : Automation with Macros
• Introduction to Excel macros.
• Recording and editing macros.
• Assigning macros to buttons and shortcuts.
• Basic VBA programming concepts.
• Excel Tips and Project Work
• Day 24: Advanced Excel Tips and Tricks
• Advanced data validation techniques.
• Customizing Excel with personalized settings and templates.
•  Collaboration features.
•  Excel tips for efficiency and productivity.
• Q&A session and course review.
• Day 25: Project Work (2 hours)
• Apply skills learned in real-world scenarios through project work.