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Beginner to Advanced MS Excel Course
Rating: 4.7 out of 5(8 ratings)
24 students

Beginner to Advanced MS Excel Course

Master Excel from basics to advanced, unlock data analysis skills, automate tasks, and streamline business operations.
Last updated 12/2024
English

What you'll learn

  • Excel Basics (Beginner Level)
  • Master Excel essentials: Navigate, format, and organize data efficiently.
  • Analyze data: Use formulas, functions, and pivot tables for insights.
  • Automate tasks: Create macros and utilize VBA for repetitive processes.
  • Visualize data: Build dynamic charts, dashboards, and reports.

Course content

11 sections48 lectures13h 26m total length
  • Introduction2:51

    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.

  • Excel Course - What are Ribbons in Excel15:33

    Discover how ribbons organize Excel commands into tabs and groups, including the file, home, and insert tabs, enabling basic editing, formatting, and workbook saving.

  • Excel Data Entry - Formatting and Autofill16:18

    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.

  • Create Data Entry Form in Excel8:39

    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.

  • Excel Arithmetic Operators11:32

    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.

  • Cell referencing (relative, absolute, and mixed) in MS Excel18:02

    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.

  • Conditional Formatiing in Excel Like A Pro25:10

    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.

  • Working with rows, columns, and ranges in Excel14:33

    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.

  • Data Organization and Cleaning in Excel Sorting Filtering Text Functions20:42

    Apply Excel's if, and, or, and not functions to organize data, test conditions, and clean text for reliable data analysis.

Requirements

  • No programming experience needed, you will learn everything you need to know

Description

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

Who this course is for:

  • Ideal for business professionals
  • Data analysts
  • College or school students
  • Entrepreneurs
  • Accountants
  • Project managers
  • Beginners seeking Excel skills
  • Anyone interested in data-driven decision-making
  • Individuals aiming to enhance productivity with Excel
  • Those looking to automate tasks using VBA.