Excel Data Analysis

Course Overview

The Excel Data Analysis course is designed to equip participants with practical skills for collecting, cleaning, organizing, analysing, and presenting data using Microsoft Excel. Participants will learn how to transform raw data into meaningful information through formulas, PivotTables, charts, statistical analysis, dashboards, and data visualization. The course emphasizes practical exercises using real-world datasets to support evidence-based decision-making.

Target Participants

  • Data and business analysts
  • Finance and accounting professionals
  • Managers and supervisors
  • Monitoring and evaluation professionals
  • Researchers and statisticians
  • Project and programme officers
  • Human resource professionals
  • Marketing and sales professionals
  • Procurement and supply chain professionals
  • Operations professionals
  • Students and professionals working with data
  • Entrepreneurs and business owners

Course Objectives

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

  • Import, organize, and prepare datasets for analysis.
  • Clean and validate data using Excel tools.
  • Apply formulas and functions for data analysis.
  • Use statistical functions to summarize datasets.
  • Analyse trends, patterns, and relationships in data.
  • Create and interpret PivotTables and PivotCharts.
  • Develop professional charts and data visualizations.
  • Build interactive data analysis dashboards.
  • Conduct descriptive and comparative analysis.
  • Apply what-if and basic forecasting techniques.
  • Use Power Query to transform and consolidate datasets.
  • Present analytical findings through professional reports and dashboards.
  • Use Excel to support evidence-based business decisions.

Course Outline

Module 1: Introduction to Excel Data Analysis

  • Data analysis concepts
  • Excel data analysis workflow
  • Types and sources of data
  • Organizing analytical datasets
  • Excel tables and structured references

Module 2: Data Cleaning and Preparation

  • Identifying data errors
  • Removing duplicates
  • Handling missing and inconsistent data
  • Text-to-columns
  • Data validation
  • Sorting and filtering
  • Conditional formatting

Module 3: Excel Formulas for Data Analysis

  • Logical functions
  • Lookup and reference functions
  • XLOOKUP
  • INDEX and MATCH
  • SUMIFS and COUNTIFS
  • AVERAGEIFS
  • Text and date functions
  • Error-handling functions

Module 4: Descriptive Data Analysis

  • Measures of central tendency
  • Mean, median, and mode
  • Minimum and maximum values
  • Range and variance
  • Standard deviation
  • Percentages and ratios
  • Frequency analysis

Module 5: PivotTables and PivotCharts

  • Creating PivotTables
  • Summarizing large datasets
  • Grouping and filtering data
  • Calculated fields
  • PivotCharts
  • Slicers and timelines
  • Interactive analysis

Module 6: Data Visualization

  • Selecting appropriate charts
  • Column, bar, line, and pie charts
  • Combination charts
  • Trend visualization
  • Conditional formatting
  • Dynamic charts
  • Effective presentation of analytical findings

Module 7: Advanced Data Analysis

  • Correlation analysis
  • Trend analysis
  • Variance analysis
  • Comparative analysis
  • Ranking and classification
  • What-if analysis
  • Sensitivity analysis

Module 8: Forecasting and Predictive Analysis

  • Forecasting concepts
  • Trendlines
  • Moving averages
  • Forecast functions
  • Scenario analysis
  • Basic predictive techniques
  • Interpreting forecast results

Module 9: Power Query for Data Analysis

  • Importing data from different sources
  • Data transformation
  • Merging and appending datasets
  • Automating data preparation
  • Refreshing analytical datasets
  • Creating repeatable data workflows

Module 10: Excel Dashboards and Reporting

  • Dashboard design principles
  • KPI development
  • Interactive dashboards
  • Data storytelling
  • Analytical reports
  • Presenting insights to decision-makers

 

Course Schedules:

Dates Fees Location Apply