Microsoft Excel For Data Analysis - Fundamentals
Published 3/2026
Created by OAKS EDUTEK
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 79 Lectures ( 7h 6m ) | Size: 4.2 GB
What you'll learn
✓ The training course is designed to assist learners to gain in-depth knowledge in using Microsoft Excel for Data Analysis
✓ Learners will be introduced to Microsoft Excel interface and its core features, enabling efficient and effective workbook management and navigation.
✓ Learners will be equipped with the techniques for summarizing and analyzing data complex dataset using excel built-in functions and user generated expressions
✓ Learners will be introduced to Data Visualization by concentrating on Conditional Formatting
✓ The training course is fully practical with progressive learning
Requirements
● Noprior knowledge in excel required as this course is from beginner to an advanced user level
● The best way to learn excel is by using excel so you have to dedicate time in practising all the examples and quizzes in the course
Description
This training course is thoughtfully structured to provide a practical, step-by-step, and well-organized guide to Microsoft Excel as a powerful productivity tool for data analysis, visualization, reporting, and business storytelling. It is designed for learners who want to build strong foundational skills while also gaining hands-on experience that can be applied in real-world business organization.
The course begins with a comprehensive introduction to the Microsoft Excel interface, ensuring that learners become familiar with the ribbon, worksheets, workbooks, navigation tools, and essential features required for efficient workbook management. Participants will also explore fundamental Excel operations, including data entry, formatting, editing, and basic calculations, which is an essential skills for effective spreadsheet usage.
Learners will develop strong analytical capabilities through the use of text analytics functions, number and date functions, and logical and lookup functions. These tools enable analysts to clean, transform, analyze, and retrieve meaningful insights from raw data. Special attention is placed on creating user-defined formulas, applying built-in excel functions, and utilizing Named Ranges to enhance accuracy, efficiency, and flexibility in calculations.
In addition, learners will be introduced to structure and manage datasets using Excel Tables, making data organization and analysis more dynamic and automated. The course concludes with an introduction to data visualization, focusing specifically on Conditional Formatting to highlight value and trend patterns and key insights directly within datasets.
Through carefully curated hands-on practical sessions, learners will gain confidence, technical competence, and the ability to apply Excel effectively for problem-solving and improved business decision making.
Who this course is for
■ Microsft Excel Users
■ Business Managers
■ Junior / Ambitious Data Analyst, Business Analyst, Supply Chain Analyst
Code:
Bitte
Anmelden
oder
Registrieren
um Code Inhalt zu sehen!
