Excel Data Analysis For Professionals

Course Overview

The Excel Data Analysis for Professionals course is designed to equip professionals with practical and advanced skills for analysing, interpreting, and presenting data using Microsoft Excel. The course focuses on transforming raw organizational data into meaningful insights for reporting, performance management, financial analysis, planning, and decision-making. Participants will gain hands-on experience with advanced formulas, PivotTables, statistical analysis, dashboards, Power Query, forecasting, and data visualization.

Target Participants

  • Finance and accounting professionals
  • Business and data analysts
  • Managers and supervisors
  • Monitoring and evaluation professionals
  • Researchers and statisticians
  • Project and programme professionals
  • Human resource professionals
  • Marketing and sales professionals
  • Procurement and supply chain professionals
  • Operations and performance professionals
  • Consultants and business advisors
  • Professionals responsible for reporting and data analysis

Course Objectives

By the end of the course, participants will be able to:

  • Apply advanced Excel functions to professional data analysis tasks.
  • Clean, organize, validate, and transform complex datasets.
  • Analyse large datasets efficiently using Excel tools.
  • Apply advanced lookup, logical, statistical, and financial functions.
  • Conduct descriptive, comparative, trend, and variance analysis.
  • Create advanced PivotTables and PivotCharts.
  • Develop interactive dashboards and KPI reports.
  • Apply appropriate charts and data visualization techniques.
  • Conduct correlation, sensitivity, and what-if analysis.
  • Develop forecasts using Excel-based analytical techniques.
  • Use Power Query to import, combine, and transform data.
  • Automate repetitive data analysis and reporting processes.
  • Interpret analytical results and communicate insights professionally.
  • Develop Excel-based decision-support models.

Course Outline

Module 1: Excel Data Analysis for Professional Applications

  • Data analysis concepts and workflow
  • Structuring professional datasets
  • Excel tables and structured references
  • Managing large datasets
  • Analytical workbook design
  • Data quality and control

Module 2: Advanced Excel Formulas and Functions

  • XLOOKUP
  • INDEX and MATCH
  • IF and IFS
  • SUMIFS, COUNTIFS and AVERAGEIFS
  • Statistical functions
  • Financial functions
  • Text and date functions
  • Dynamic array functions
  • Error handling and formula auditing

Module 3: Data Cleaning and Preparation

  • Identifying data errors
  • Handling missing and inconsistent data
  • Removing duplicates
  • Data validation
  • Advanced sorting and filtering
  • Text and date transformation
  • Preparing data for analysis

Module 4: Advanced PivotTable Analysis

  • Creating advanced PivotTables
  • Grouping and summarizing data
  • Calculated fields
  • PivotCharts
  • Slicers and timelines
  • Multi-dimensional analysis
  • Interactive professional reports

Module 5: Statistical and Business Data Analysis

  • Descriptive statistics
  • Mean, median, and mode
  • Variance and standard deviation
  • Percentiles and quartiles
  • Frequency analysis
  • Correlation analysis
  • Trend analysis
  • Comparative and variance analysis

Module 6: Data Visualization and Dashboards

  • Principles of effective data visualization
  • Advanced charts
  • Combination charts
  • Dynamic charts
  • KPI dashboards
  • Interactive dashboards
  • Data storytelling
  • Presenting analytical findings

Module 7: Forecasting and Scenario Analysis

  • Trendlines and moving averages
  • Forecasting functions
  • Time-series analysis
  • Goal Seek
  • Scenario Manager
  • Sensitivity analysis
  • What-if analysis
  • Interpreting forecasts

Module 8: Power Query for Professionals

  • Importing data from multiple sources
  • Data transformation
  • Merging and appending datasets
  • Automated data cleaning
  • Refreshable analytical reports
  • Creating repeatable data workflows

Module 9: Financial and Operational Data Analysis

  • Financial performance analysis
  • Budget versus actual analysis
  • Revenue and cost analysis
  • Profitability analysis
  • Operational performance analysis
  • KPI monitoring
  • Decision-support models

Module 10: Professional Reporting and Automation

  • Designing professional analytical reports
  • Automated reporting
  • Introduction to Excel macros
  • Recording and using macros
  • Basic VBA concepts
  • Report protection and distribution
  • Communicating analytical insights

 

Course Schedules:

Dates Fees Location Apply