Beginner to Advanced MS Excel Course

Master Excel from basics to advanced, unlock data analysis skills, automate tasks, and streamline business operations.

Beginner to Advanced MS Excel Course
Beginner to Advanced MS Excel Course

Beginner to Advanced MS Excel Course free download

Master Excel from basics to advanced, unlock data analysis skills, automate tasks, and streamline business operations.

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