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Mastering Advance Excel (Utimate collections)

This course is designed to take learners from intermediate to advanced Excel proficiency, equipping them with the skills needed for complex data analysis, automation, and advanced reporting. The combination of practical exercises and real-world applications ensures that participants are well-prepared to apply their knowledge in professional settings.
Duration: 2 Months
Category: IT Essentials
Tags: Business Intelligence, Data Analysis, Data Management, Microsoft Office, Project Management
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What you will Learn in this Course

Advanced Excel refers to the proficiency in using Microsoft Excel beyond basic spreadsheet functions. It involves harnessing the full power of Excel’s features and functionalities to perform complex data analysis, automate tasks, and create sophisticated reports. Here are key aspects of Advanced Excel:

  1. Formulas and Functions: Advanced Excel users are adept at using complex formulas and functions like VLOOKUP, HLOOKUP, INDEX-MATCH, SUMIFS, COUNTIFS, and array formulas to perform intricate calculations and data manipulation.
  2. PivotTables and PivotCharts: They have a deep understanding of PivotTables for dynamic data summarization and analysis. They can also create PivotCharts to visually represent the information.
  3. Data Validation and Validation Rules: Advanced Excel users implement data validation rules to ensure accurate data entry. This helps in maintaining data integrity and consistency.
  4. Conditional Formatting: They use conditional formatting to highlight specific data points based on defined criteria, making it easier to identify trends, outliers, and important information.
  5. Advanced Charting Techniques: They create complex charts and graphs to visualize data effectively. This may include waterfall charts, combo charts, and advanced formatting options.
  6. Data Analysis Tools: Proficiency with Excel’s data analysis tools like Goal Seek, Solver, Scenario Manager, and Data Tables allows advanced users to perform ‘what-if’ analyses and optimization.
  7. Macros and VBA (Visual Basic for Applications): They are capable of automating tasks using macros and VBA. This involves writing custom scripts to perform repetitive operations, saving time and reducing manual errors.
  8. Array Formulas and Functions: Advanced Excel users can use array formulas to perform calculations on multiple items of data simultaneously. This allows for complex calculations and data processing.
  9. Data Cleaning and Transformation: They are skilled in cleaning and transforming raw data into a usable format, which may involve tasks like data consolidation, text-to-columns, and data parsing.
  10. Database Functions: Proficiency in database functions like DSUM, DCOUNT, and DGET allows for more advanced querying and analysis of large datasets.
  11. Power Query and Power Pivot: Advanced Excel users leverage these powerful add-ins to perform advanced data manipulation, query external data sources, and create sophisticated data models.
  12. What-If Analysis: They use Excel’s tools for goal seeking, scenarios, and sensitivity analysis to explore different outcomes based on changing variables.

Advanced Excel skills are highly valued in various professional domains, including finance, data analysis, business intelligence, and project management. These skills enable users to work efficiently with large datasets, automate repetitive tasks, and extract valuable insights for informed decision-making.

Before diving into advanced Excel, it’s important to have a solid foundation in basic Excel skills. Here are the recommended prerequisites:

  1. Basic Excel Proficiency:

    • Familiarity with basic Excel operations, including entering data, creating formulas, and using functions like SUM, AVERAGE, and IF.

  2. Understanding of Cell Referencing:

    • Knowledge of absolute and relative cell references (e.g., $A$1, A$1, $A1) is crucial for more complex formulas.

  3. Data Manipulation and Sorting:

    • Ability to organize and sort data within spreadsheets.

  4. Basic Functions and Formulas:

    • Comfort with common functions like VLOOKUP, HLOOKUP, INDEX, MATCH, COUNTIF, and SUMIF.

  5. Charts and Graphs:

    • Basic proficiency in creating and formatting charts to represent data visually.

  6. PivotTables:

    • Understanding how to create, format, and manipulate PivotTables to analyze and summarize data.

  7. Conditional Formatting:

    • Familiarity with applying conditional formatting rules to cells based on certain conditions.

  8. Data Validation:

    • Knowledge of setting up data validation rules to control what can be entered into specific cells.

  9. Basic Keyboard Shortcuts:

    • Familiarity with common keyboard shortcuts (e.g., Ctrl+C for copy, Ctrl+V for paste) can significantly increase efficiency.

  10. Understanding of Data Types:

    • Awareness of different data types (e.g., text, number, date) and how Excel handles them is important.

  11. Basic Understanding of Functions and Formulas:

    • Knowledge of basic mathematical and logical functions, as well as how to create more complex formulas.

  12. Handling Multiple Worksheets:

    • Ability to manage and navigate through multiple worksheets within a workbook.

  13. File Management:

    • Familiarity with tasks like saving, opening, and organizing Excel files.

  14. Problem-Solving Skills:

    • Developing the ability to approach and solve problems in Excel using logical thinking.

Remember, practice is key when it comes to becoming proficient in advanced Excel. Continuously working with data and experimenting with different features will help reinforce your skills. Additionally, there are numerous online resources, tutorials, and courses available to help you advance your Excel proficiency.

  • 1.1 Advanced Mathematical Functions
    • Complex arithmetic functions, statistical functions
  • 1.2 Lookup and Reference Functions
    • INDEX-MATCH, VLOOKUP, HLOOKUP, OFFSET & XLOOKUP
  • 1.3 Logical and Conditional Functions
    • IF, AND, OR, NOT, IFERROR, CHOOSE
  • 1.4 Array Formulas and Functions
    • SUMPRODUCT, TRANSPOSE, FREQUENCY
  • 2.1 Creating and Customizing PivotTables
    • Grouping data, calculated fields/items, slicers
  • 2.2 Advanced PivotTable Techniques
    • PivotTable options, multiple consolidation ranges, timelines
  • 2.3 PivotCharts and Interactivity
    • Creating dynamic charts, linking to PivotTables
  • 3.1 Goal Seek and Solver
    • What-If analysis, optimizing scenarios
  • 3.2 Scenario Manager
    • Managing multiple scenarios, creating summary reports
  • 3.3 Data Tables
    • One-variable and two-variable data tables
  • 4.1 Text-to-Columns and Text Functions
    • Splitting and manipulating text, CONCATENATE, LEFT, RIGHT
  • 4.2 Data Validation and Cleaning Techniques
    • Removing duplicates, handling errors, data validation rules
  • 4.3 Data Import and Export
    • External data sources, importing CSV/Text files
  • 5.1 Customizing Charts
    • Adding trendlines, annotations, secondary axes
  • 5.2 Advanced Chart Types
    • Waterfall charts, combo charts, Gantt charts
  • 5.3 Dynamic Charts and Dashboards
    • Creating interactive dashboards, using form controls
  • 6.1 Introduction to Macros
    • Recording and running macros, relative vs. absolute references
  • 6.2 Writing Basic VBA Code
    • Variables, loops, conditional statements
  • 6.3 Automation and User Forms
    • Creating custom forms, automating tasks
  • 7.1 Data Cleaning and Transformation with Power Query
    • M language, merging and appending queries
  • 7.2 Creating Data Models with Power Pivot
    • Relationships, calculated columns, DAX functions
  • 7.3 Advanced Data Analysis with Power Pivot
    • Measures, KPIs, advanced slicer techniques
  • 8.1 DSUM, DCOUNT, DAVERAGE
    • Performing database-style analysis in Excel
  • 8.2 Advanced Data Queries
    • Using SQL in Excel, connecting to external databases
  • 8.3 Combining Excel with Access and SQL Server
  • 9.1 Advanced Reporting Techniques
    • Conditional formatting for reports, dynamic titles
  • 9.2 Automating Reports with Excel
    • Scheduled tasks, email integration, report distribution
  • 10.1 Building Financial Models
    • Forecasting, cash flow analysis, scenario modeling
  • 10.2 Investment Valuation Techniques
    • NPV, IRR, ROI calculations

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