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Home Face To Face Excel for Data Analysis : Intermediate Techniques
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22nd & 23rd January 2024

Excel for Data Analysis : Intermediate Techniques

RM1,800.00 RM2,100.00

The purpose of this program is to will build upon the foundational Microsoft Office Excel knowledge and skills already acquired and learn to create advanced workbooks and worksheets, including advanced formulas, tables and data analyzing tools.

  • 22nd & 23rd January 2024
  • Individual
  • Group (>2)
Clear
  • *Date

    *Fee

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    Duration : 14 Hours

    Trainer : Pn. Shabenah Bee Binti Mohd

    Location : Suasana Suites Hotel Johor Bahru

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  • Course Outline
Description

Course Objectives:

By the end of this training program, participants will be able to:

  1. Manage the database effectively.
  2. Apply proper formula and function.
  3. Troubleshooting errors
  4. Link and Embed Data from other sources.
  5. Applying Conditional Formatting and Validation Rules

 

Learning Outcomes:

Upon completing this training, participants will be able to:

  1. Organize and structure data using tables and cell formatting.
  2. Apply sorting and filtering techniques to analyze and extract relevant information from a dataset.
  3. Consolidate and manage data from multiple worksheets or workbooks effectively.
  4. Understand data validation to maintain data accuracy and consistency.
  5. Utilize Excel’s built-in error-checking and tracing tools to diagnose issues in formulas and functions.
  6. Understand auditing tools for error detection and correction.
  7. Debug and correct formulas to achieve desired results.
  8. Utilize Excel’s built-in error-checking and tracing tools to diagnose issues in formulas and functions.
  9. Understand auditing tools for error detection and correction.
  10. D Utilize Excel’s built-in error checking and tracing tools to diagnose issues in formulas and functions.
  11. Understand auditing tools for error detection and correction.
  12. Debug and correct formulas to achieve desired results.

 

Methodology:

  • Pre-Assessment
  • Short lecture session
  • Demonstrations
  • Self-assessment
  • Video presentation
  • Post-Assessment

 

Target Audiences:

  • Business Professionals
  • Data Analysts and researchers
  • Administrative and office staffs
  • Educators
  • Small Business Owners
  • Lab Staffs
  • Project Managers
  • Other related positions
Additional information
Date

22nd & 23rd January 2024

Fee

Individual, Group (>2)

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Course Outline

Module 1: Customizing the Excel Environment

  • Configure Excel Options
  • Customize the Ribbon and the Quick Access Toolbar
  • Enable Excel Add-Ins

 

Module 2: Organizing and Analyzing Datasets and Tables

  • Manual Tables VERSUS Smart Tables
  • Create and Modify Tables
  • Sorting Data
  • Filtering Data
  • Use SUBTOTAL and Database Functions
  • Enabling / Disabling Smart Tables

 

Module 3: Creating Basic to Advanced Formulas

  • Working with Cell References
  • Working with Absolute Referencing and Relative Referencing
  • Working with Array Formulas
  • Working with Name Range
  1. Descriptive Names for Cell References
    • Creating and Using a Named Range
    • Creating Slightly Smarter Named Ranges
    • Naming Formulas and Constants
    • Managing Named Ranges
    • Automatically Creating Named Ranges
    • Applying Names to Existing Formulas
  2. Controlling Recalculation
  3. Solving Formula Errors
    • Step-by-Step Evaluation
    • Tracing Precedents and Dependents
    • Error Checking
  4. Working with Formulas And Functions
  • Creating a Basic Formula
    • Excel’s Order of Operations (BODMAS)
    • Cell References
    • How Excel Formats Cells That Contain Cell References
  • Functions
    • Using a Function in a Formula
    • Using Cell References with a Function
    • Using Cell Ranges with a Function
    • Excel Compatibility Functions
  • Formula Errors
  • Logical Operators
  • Formula Shortcuts
    • Point-and-Click Formula Creation
    • Point-and-Click Formula Editing
    • The Formulas Tab.
    • Using the Insert Function Button
  • Copying Formulas
    • Absolute Cell References
    • Partially Fixed References
    • Referring to Other Worksheets
    • Referring to Other Workbooks

 

Module 4: Working with Statistical and Database Functions

  1. Working with Simple to Advanced Queries With :

 

  • Calculating Sum , Sumif , Sumifs functions
  • Working with Average, Averageif, Averageifs functions
  • Counting with Count, Countif, Countifs Functions
  • Analyzing Max , min , Large , Small , Rank Values

 

  1. Working with Complex Queries With :
  • DSUM
  • DAverage
  • DCount
  • DMax
  • DMin

 

Module 5: Manipulating Dates, Times, and Text 

  1. Working with Text Functions
  • CONCATENATE(): Joining Strings of Text Together
  • LEFT(), MID(), and RIGHT(): Copying Portions of a Text String
  • UPPER(), LOWER(), and PROPER(): Changing Capitalization
  1. Working with Date and Time Functions
    • TODAY() and NOW(): Inserting the Current Date and Time
    • DAY(), MONTH(), and YEAR(): More Date Calculations
    • WEEKDAY(): Determining the Day of the Week
    • DATEDIF(): Calculating the Difference Between Dates
    • DAYS360(): Finding Out the Number of Days Between Two Dates
    • YEARFRAC(): Calculating the Percentage of a Year Between Two Dates
    • WEEKNUM(): Figuring Out in Which Week a Date Falls

 

 

Module 6: Managing Workbooks

  • Arranging Multiple Workbooks
  • Adding Hyperlinks
  • Working with Comments
  • Saving Workbooks in Different Formats
  • Saving a Workbook as a Web Page
  • Creating Folders
  • E-Mailing a Workbook

 

Module 7: Grouping and Outlining Data 

  • Basic Data Grouping
  • Creating a Group
  • Nesting Groups Within Groups
  • Summarizing Your Data
  • Combining Data from Multiple Tables
  • Grouping Timesavers
  • Auto Outline
  • Automatic Sub totalling

 

Module 8:   Templates 

  • Understanding Templates
  • Creating a New Workbook from a Template
  • Downloading Templates
  • Creating Templates
  • Understanding Custom Templates
  • Building a Custom Template
  • Sharing Templates with Others

 

Module 9: Visualizing Data with Basic Charts

  • Creating Basic Charts
  • Formatting and Perfecting Charts
  • Working with Other Sources
  • Creating Combo-Charts

 

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