The WSQ Microsoft Excel Advanced course is structured around a part-to-whole sequencing method, unfolding through six progressively linked learning units. It kicks off, Advanced Formulas and Functions, where participants dive into complex business statistical formulas and functions. This unit covers summarising and analysing both categorical and numerical data sets, including the use of nested conditions, and lookup, text, date, and time functions.
Next, learners will leverage Excel's built-in data analysis tools, Managing and Analysing Data Ranges, to discern trends and patterns. This focus on data analysis paves the way to next learning unit, Organising and Summarising Data, where common statistica l software applications and techniques for data organisation and summary, including scenario reports and consolidation of data, are taught.
For the next learning unit, Working with PivotTables, it equips learners with the skills to create and customise PivotTables with slicers. Moving to the stage, Working with Web and External Data, learners apply their knowledge to query data from multiple s ources, extracting relevant information for stakeholders using techniques from statistical software. On the last learning unit, Working with Macros, where participants learn to automate repetitive tasks and data management through macro recording.
This structured approach ensures that by the end of the course, participants are adept at utilising advanced statistical formulas and functions, summarising and analysing data, creating PivotTables, working with external data sources, and automating tasks with macros, equipping them with the comprehensive skills needed for effective data management and analysis.
2 Days
16 hours, 15 hours training and 1 hour assessment
Advanced Formulas and Functions
• Formulas with Multiple Operators
• Inserting and Editing a Function
• AutoCalculate and Manual Calculation
• Cell and Range Names
• Displaying and Tracing Formulas
• Understanding Formula Errors
• Using Financial Functions (PMT)
• Using Logical Functions (IF, AND, OR, Nested IFs)
• Using Lookup Functions (VLOOKUP, HLOOKUP, MATCH & etc)
• Using Text Functions (CONCATENATE, UPPER, LEFT & etc)
• Using Date & Time Functions
Managing and Analysing Data Ranges
• Working with Scenarios & Creating a Scenario Summary Report
• Working with Data Tables
• Using Goal Seek & Solver
• Using Text to Columns
• Grouping and Outlining Data
• Using Subtotal
• Consolidating Data by Position or Category
• Consolidating Data Using Formulas
• Sharing a Workbook
• Track changes
• Compare and Merge Workbooks
Organising and Summarising Data
• Creating a Custom AutoFill List
• Applying Conditional Formatting
• Create & Manage Conditional Formatting Rules
• Sorting by a Custom List
• Filtering Data
• Creating a Custom AutoFilter
• Using Advanced Filter
• Using Data Validation
Working with PivotTables
• Create and Specifying PivotTable Data
• Changing a PivotTable’s Calculation
• Using Multiple PivotTable Fields
• Filtering & Sorting a PivotTable
• Working with PivotTable Layout
• Grouping PivotTable Items
• Update & Format a PivotTable
• Create a PivotChart
• Using Slicers & Sharing Slicers Between PivotTables
Working with Web and External Data
• Inserting a Hyperlink
• Importing Data from a Text File and an Access Database
• Importing Data from the Web Working with Existing Data Connections
Working with Macros
•Recording a Macro
• Playing and Deleting a Macro
• Adding a Macro to the Quick Access Toolbar
Upon completion of this course, participants should be able to:
• Use a series of business statistical formulas and functions for summarising and analysing categorical or numerical data sets, including utilising nested conditions, lookup, text, date, and time functions.
• Harness the skills needed to use Excel's built-in data analysis tools to analyse data sets and identify trends and patterns.
• Distinguish between Excel's built-in statistical functions and tools to conduct statistical analyses, taking into account the needs and objectives of stakeholders.
• Utilise PivotTable to understand and analyse the core data structures that include summarising datasets for the presentation of actionable business insights to stakeholders.
• Adopt relevant statistical software techniques to perform data queries across multiple sources to extract pertinent data for stakeholders.
• Apply macro recording functionality to aid automation of working with data sets and performing repetitive tasks.Course Outline Advanced Formulas and Functions
• Formulas with Multiple Operators
• Inserting and Editing a Function
• AutoCalculate and Manual Calculation
• Cell and Range Names
• Displaying and Tracing Formulas
• Understanding Formula Errors
• Using Financial Functions (PMT)
• Using Logical Functions (IF, AND, OR, Nested IFs)
• Using Lookup Functions (VLOOKUP, HLOOKUP, MATCH & etc)
• Using Text Functions (CONCATENATE, UPPER, LEFT & etc)
• Using Date & Time Functions Managing and Analysing Data Ranges
• Working with Scenarios & Creating a Scenario Summary Report
• Working with Data Tables
• Using Goal Seek & Solver
• Using Text to Columns
• Grouping and Outlining Data
• Using Subtotal
• Consolidating Data by Position or Category
• Consolidating Data Using Formulas
• Sharing a Workbook
• Track changes
• Compare and Merge Workbooks Organising and Summarising Data
Course Fee Payable | ||
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Original Fee | Before GST | With GST (9%) |
Course Fee | $450.00 | $490.50 |