
Learn how Excel organizes information, performs calculations, and builds visualizations using graphing tools, pivot tables, formulas, and Visual Basic for business tasks such as accounting and reporting.
Discover how ribbons organize Excel commands into tabs and groups, including the file, home, and insert tabs, enabling basic editing, formatting, and workbook saving.
Master basic data entry and formatting in Excel by entering data, adjusting headers, borders, and font styles. Use currency, date formats, and autofill to extend patterns efficiently.
Learn to create a data entry form in Excel by building a table with headers, customizing the ribbon, and using a user form to add and edit records.
Master basic arithmetic operations in excel, including addition, subtraction, multiplication, division, and exponentiation, using cell references like A1 and B2 and applying Pemdas with brackets.
Explore relative, absolute, and mixed cell references in Excel, and learn how copying formulas adjusts or fixes references using dollar signs for consistent calculations across rows and columns.
Master conditional formatting in Excel by using highlight cells rules, data bars, color scales, icon sets, and top-bottom and above/below average rules to visualize trends and KPIs.
Master working with rows, columns, and ranges in Excel, including inserting or deleting rows and columns, shifting cells, and applying sort and filter with named ranges.
Apply Excel's if, and, or, and not functions to organize data, test conditions, and clean text for reliable data analysis.
Explore data organization and cleaning in Excel, covering sorting, filtering, removing duplicates, and text functions like left, right, mid, trim, and concatenate with practical examples.
Master the if function in MS Excel, with three arguments, then apply and, or, and not to create complex logical conditions using real-world examples like sales targets and stock status.
Master the Vlookup function in Excel to search the first column of a range and return a value from a different column, using exact or approximate matches for lookup tasks.
Explore how hlookup performs horizontal lookups by searching the first row of a table and returning values from the same column, with exact or approximate matches.
Learn index and match for flexible lookups in Excel, alternatives to vlookup and hlookup, returning values by row and column and locating exact matches, then combine them for dynamic lookups.
Master table slicers in Excel to visually filter tables and pivot tables by clicking buttons, and learn to add, configure, and use them on a sample superstore dataset.
Learn how structured references replace cell ranges with table name and column headers to create readable, dynamic range formulas with no manual adjustments.
Create and customize line, pie, column, and combo charts in Excel to analyze data. Explore chart designs, axis options, and formatting to highlight trends and comparisons.
Learn to summarize and visualize data in Excel with pivot tables and pivot charts, performing aggregates like sum, average, count, min, max, and dynamically group by region, product, and filters.
Explore pivot tables to group data by month, quarter, and year, summarize sales with sum, average, and count, and drill down for detailed insights.
Explore eight nested functions in Excel, including if with and or, vlookup with iferror, sumif, index with match, left with find, and date with year and month.
Master array formulas in Excel with single and multi cell types, learn sum of squares, sumif, and transpose, plus dynamic arrays and ctrl-shift-enter guidance.
Master advanced text functions in Excel by formatting numbers and dates, using text, left, right, and mid, trim, and concatenate to create currency-formatted cells and merged strings.
Learn advanced date functions in Excel for live dashboards and deadlines, including today, date diff, workday, networkdays, and date formatting with text functions. Also cover edate and eomonth basics.
Set up data validation rules in Excel to control input types, values, and messages. Explore validation criteria, input messages, error alerts, and drop-down lists to enforce data quality.
Learn to protect worksheets and workbooks in Excel by locking and unlocking cells, protecting sheet and structure, allowing specific edits, and encrypting with a password.
Learn how to establish data relationships in Excel by linking tables with primary and foreign keys, enable the data model, and analyze across tables with pivot tables.
Power Query Editor in Excel enables importing, cleaning, transforming, and reshaping data from multiple sources, automating workflows, and saving reusable queries for dynamic monthly reports.
Learn powerful Power Query techniques in Excel, including removing duplicates, splitting columns, and unpivoting data, then create custom and conditional columns and merge queries.
Learn to join six hospital data tables in Power Pivot and Analysis, establishing relationships and pivot tables in Excel.
Discover Power Pivot in Excel to model data, create relationships between tables, and build DAX measures for pivot tables and dashboards.
Master descriptive statistics in Excel, including mean, median, mode, and standard deviation. Use iris data and simple examples to compute these measures with functions like average, median, and mod.sngle.
Learn correlation and regression in Excel with ad budget and revenue data, using Analysis ToolPak, and interpret the regression equation y = mx + b and R-squared.
Enable and use the data analysis toolpak in Excel to perform descriptive statistics, correlation, t tests, ANOVA, moving averages, and rank and percentile analyses.
Explore what-if analysis in Excel with goal seek and scenario manager, using inputs to forecast revenue, profits, and multiple scenarios for comparative insights.
Learn to build one-variable and two-variable data tables in Excel for what-if analysis, showing how loan inputs like interest rate affect monthly payments via the PMT formula.
Learn how to record your first macro in Excel, automating repetitive tasks by capturing and replaying a sequence of actions—from enabling the developer tab to saving as a macro-enabled workbook.
Modify recorded macros in Excel by editing the underlying VBA in the Visual Basic for Applications editor, learning to adjust ranges, formatting, and comments to customize macro behavior.
Learn the basics of VBA syntax in Excel, including macros, modules, and variables with data types such as integer, double, string, and boolean, plus how to use msgbox and concatenation.
Explore how VBA loops work in Excel, focusing on for next loops for a known number of iterations and do while loops for conditions, with step-by-step examples using message boxes.
Learn how to implement VBA if-else in Excel, using comparison operators to build conditional logic, declare variables, and test macros with message boxes.
Learn how to work with Excel objects in VBA, including workbooks, worksheets, and ranges, by creating macros that format cells, set fonts, colors, and values.
Explore message boxes and input boxes in VBA for Excel automation. Show how to display information with a message box and capture user input via an input box.
Master error handling in VBA for Excel automation, using on error resume next, error.number, and error.description to handle division by zero and runtime errors.
Create user defined functions in VBA for Excel to automate repetitive tasks. Build functions like add numbers and EMI calculator, declaring parameters and calling them in cells.
Learn to automate repetitive tasks in Excel using macros and VBA, including recording a macro, writing simple modules, autofitting columns, applying borders, and formatting data, saved as a macro-enabled workbook.
Calculated field Age_Group
=IF(
AND(G2>=1,G2<=20),"1 to 20",
IF(AND(G2>20,G2<=40),"20-40",
IF(AND(G2>40,G2<=60),"40-60",
IF(AND(G2>60),"60+"))
)
)
Learn to build a financial analysis dashboard in Excel for beginners, using pivot tables, charts, and a navigable layout. Track revenue, gross sales, profit, and profit margin with dynamic KPIs.
Course Overview:
This course is designed to take learners from the basics of Excel to advanced techniques used in data analytics and business decision-making. By the end of the course, participants will be equipped with the skills to organize, analyze, and visualize data effectively.
Who is this course for?
This course is ideal for
· Business professionals,
· Data analysts,
· School or college students,
· Entrepreneurs,
· Accountants,
· Project managers,
· Beginners seeking Excel skills,
· Anyone interested in data-driven decision-making,
· Individuals aiming to enhance productivity with Excel,
· and those looking to automate tasks using VBA.
Course Syllabus
Module 1: Excel Basics (Beginner Level)
Introduction to Excel Interface and Basics
Ribbon, workbook, and worksheet navigation
Creating, saving, and managing workbooks
Basic data entry and formatting
Basic Formulas and Functions
Arithmetic operations (+, -, *, /)
Introduction to cell referencing (relative, absolute, and mixed)
Essential functions: SUM, AVERAGE, MIN, MAX, COUNT
Data Formatting and Management
Cell formatting: text alignment, borders, colors
Conditional formatting basics
Working with rows, columns, and ranges
Module 2: Intermediate Excel for Data Management
Data Organization and Cleaning
Sorting and filtering data
Removing duplicates
Text functions: LEFT, RIGHT, MID, TRIM, CONCATENATE
Essential Functions for Analytics
Logical functions: IF, AND, OR, NOT
Lookup and reference functions: VLOOKUP, HLOOKUP, INDEX, MATCH
Working with Tables
Creating and formatting Excel tables
Table slicers for filtering
Introduction to structured references
Module 3: Advanced Excel Techniques
Data Analysis and Visualization
Creating and customizing charts (line, bar, pie, combo)
Pivot Tables and Pivot Charts
Grouping, summarizing, and drilling down in Pivot Tables
Advanced Formulas
Nested functions (e.g., IF + VLOOKUP)
Array formulas
Text and date functions for advanced scenarios
Data Validation and Protection
Setting up data validation rules
Protecting worksheets and workbooks
Module 4: Excel for Business and Data Analytics
Data Modelling Basics
Understanding data relationships
Using Power Query for data cleaning and transformation
Intro to Power Pivot
Statistical Analysis with Excel
Descriptive statistics: mean, median, mode, standard deviation
Correlation and regression analysis
Using Data Analysis ToolPak
Scenario Analysis
What-If Analysis: Goal Seek, Scenario Manager
Creating and analyzing data tables
Module 5: Excel Automation and Macros
Introduction to Macros
Recording and running macros
Modifying recorded macros
Introduction to VBA for Automation
Basics of VBA syntax
Writing custom functions
Automating repetitive tasks
Module 6: Excel Integration and Reporting
Data Import and Export
Importing data from CSV, TXT, and databases
Exporting Excel data to various formats
Dynamic Dashboards
Designing interactive dashboards using slicers, charts, and conditional formatting
Linking data for real-time updates
Capstone Project
Data Analytics Business Case
Real-world scenario 1: Analyze sales, finance, or operational data
Real-world scenario 2: Exploratory Data Analysis on Survival dataset
Create a report using Pivot Tables, charts, and dashboards
Present insights and actionable recommendations