Four weeks
Monday – Friday
1 hour
400,000/=
Practical and Theory Exams
Prerequisite: Must have Computer Skills.
Overview:
Data analysis in Microsoft Excel refers to the process of collecting, organizing, analyzing, and interpreting data to help make informed decisions. Excel is one of the most widely used tools for data analysis because of its robust features, flexibility, and accessibility. It is used across various fields like finance, business, education, and research to organize and analyze large datasets, create reports, and present actionable insights.
Course outline
Module 1: Introduction to Data Analysis in Excel
•Overview of Data Analysis in Excel
-Importance and applications of data analysis
-Types of data (structured, unstructured)
-Excel’s role in data analysis and decision-making
•Basic Excel Tools for Data Analysis
-Navigating the Excel interface (ribbon, formula bar, sheets)
-Understanding workbooks, worksheets, and cells
-Introduction to Excel data formats (numbers, dates, text)
Module 2: Organizing and Preparing Data
•Data Importing and Cleaning
-Importing data from different sources (CSV, text files, databases)
-Data cleaning techniques (removing duplicates, handling blanks, correcting errors)
-Using Excel’s “Text to Columns” and “Flash Fill” for data manipulation
•Sorting and Filtering Data
-Sorting data by columns (ascending/descending, custom sorting)
-Advanced filtering (using criteria and custom filters)
-Using “AutoFilter” and “Advanced Filter”
Module 3: Working with Formulas and Functions
•Basic Functions in Excel
-SUM, AVERAGE, COUNT, MAX, MIN
-COUNTIF, SUMIF, AVERAGEIF for conditional analysis
•Logical Functions
-IF, AND, OR, NOT for conditional calculations
-Nested IF functions for more complex decisions
•Lookup Functions
-VLOOKUP, HLOOKUP, INDEX & MATCH for finding data
-Using XLOOKUP (Excel 365) for dynamic data retrieval
Module 4: Analyzing Data with Excel’s Statistical Tools
•Descriptive Statistics
-Calculating mean, median, mode, variance, and standard deviation
-Using the Analysis ToolPak add-in for advanced statistical analysis
•Trend Analysis and Forecasting
-Moving averages and exponential smoothing
-Using the FORECAST function for predicting data trends
-Creating trend lines on charts for forecasting
•Data Sampling and Sampling Techniques
-Random sampling methods in Excel
-Using the RAND and RANDBETWEEN functions
Module 5: Data Visualization Techniques
•Creating Basic Charts
-Column, line, bar, pie, and scatter charts
-Formatting charts (colors, labels, legends, titles)
•Advanced Chart Types
-Combo charts, histograms, and box plots
-Creating sparklines for quick trend visualizations
•Using PivotTables and PivotCharts
-Introduction to PivotTables for summarizing large datasets
-Customizing PivotTables (sorting, grouping, filters)
-Creating Pivot Charts for dynamic data visualization
-Slicers and Timelines for filtering PivotTables
Module 6: Data Analysis Using PivotTables
•Creating and Customizing PivotTables
-Grouping and summarizing data
-Adding calculated fields and items
-Using the “Values” area to display totals and percentages
•Advanced PivotTable Techniques
-Creating calculated columns and measures using DAX (Power Pivot)
-Drill-down, filtering, and grouping in PivotTables
-Using Power Query to transform data for PivotTables
Module 7: Advanced Excel Data Analysis Tools
•Excel’s Power Query Tool
-Introduction to Power Query for data transformation
-Merging and appending datasets
-Cleaning and reshaping data using Power Query
•Power Pivot for Data Modeling
-Understanding data models and relationships between tables
-Creating and managing relationships in Power Pivot
-Introduction to DAX (Data Analysis Expressions) for advanced calculations
•Scenario Analysis and Solver
-Using Goal Seek for solving equations
-Using Solver for optimization problems
-Performing what-if analysis to explore different business scenarios
Module 8: Time Series Analysis and Forecasting
•Handling Date and Time Data
-Date and time functions (YEAR, MONTH, DAY, WEEKDAY)
-Calculating differences between dates and creating custom time periods
•Advanced Time Series Analysis
-Moving averages and time-based forecasting models
-Seasonal adjustments and trend analysis using Excel functions
-Using FORECAST.LINEAR for forecasting future values
Module 9: Data Reporting and Presentation
•Creating Professional Reports in Excel
-Using cell formatting (conditional formatting, color scales, icon sets)
-Preparing dashboards using multiple data visualizations
-Integrating charts, PivotTables, and tables in a report
•Automating Reports with Excel Macros
-Introduction to Excel Macros
-Recording and editing macros to automate repetitive tasks
-Assigning macros to buttons for easy access