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Udemy - Data Analysis in Excel by Chris Odugbemi - Courses24h - 12-25-2024
![[Image: 9637e18b293897481c6755c9de839de2.jpeg]](https://i124.fastpic.org/big/2024/1220/e2/9637e18b293897481c6755c9de839de2.jpeg)
[h1]Free Download Udemy - Data Analysis in Excel by Chris Odugbemi[/h1]
Published: 12/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 40m | Size: 892 MB
Data Analysis
[h2]What you'll learn[/h2]
Understanding Excel Basics. Students will learn excel interface, ribbon, and basic functionalities. Create and format worksheets. Understand cell operations
Data Management. Sort and filter to identify trends and patterns. Use conditional formatting to highlight specific data points and manage and clean datasets.
Basic Functions and Formulas. Use arithmetic operations for calculations. Apply common functions like SUM, AVERAGE, MIN, and MAX. Relative & Absolute references
Intermediate Functions. Learn Logical functions. Use lookup functions like VLOOKUP and HLOOKUP. Master text functions like CONCATENATE, LEFT, RIGHT
[h2]Requirements[/h2]
No programming experience needed
[h2]Description[/h2]
This course provides a comprehensive introduction to data analysis using Microsoft Excel. It is designed for beginners and intermediate users, the course equips participants with the skills needed to organize, analyze, and interpret date effectively. Through hands-on learning, you will discover how to clean and prepare datasets, apply analytical techniques, and create meaningful visualizations to communicate insights.Topics include working with formulas and functions, using Pivot Tables for summarization, Lookups, Text Analysis, and visualization. By the end of the course, participants will be able to confidently handle real-world data challenges, make data-driven decisions, and present their findings in a professional format.This course is for students, professionals, and anyone seeking to enhance their analytical skills in a business or academic context.Data Analysis is useful for the following reasons:Business Decisions: Helps organizations improve efficiency, identify market trends, and target customer effectively,Scientific Research: Validates hypothesis and aids in making decisionsPersonal Use: Assist individuals in budgeting, tracking progress, and optimizing resourcesKey learning OutcomesWhat is dataTypes of dataWhy analysis in Excel?Understand core concepts of data analysisClean and manage datasets for accurate analysisUtilize Excel functions and tools for summarizing and analyzing dataCreate visualizationsNo prior knowledge of data analysis is required, but a basic understanding of Microsoft Excel is recommended.
[h2]Who this course is for[/h2]
For beginners and those and those interested in mastering data analysis in Excel
Homepage:
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https://www.udemy.com/course/data-analysis-in-excel-x/[h2]DOWNLOAD NOW: Udemy - Data Analysis in Excel by Chris Odugbemi[/h2]
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