Table of Contents

• Introduction
• 15 Essential Excel Data Analysis Functions
• Methods for Data Analysis in Excel
• Data Analysis with Microsoft Excel
• Simple Linear Regression Model in Microsoft Excel
• Dataset

 

Introduction to Excel for Data Analysis

Data analysis is the process of cleansing, transforming, and analyzing raw data to obtain usable, relevant information that can assist businesses in making educated decisions. By giving relevant insights and data, which are commonly presented in charts, photos, tables, and graphs, the technique helps to lessen the risks associated with decision-making.

Data analytics encompasses not just data analysis, but also data collecting, organization, storage, and the tools and techniques used to delve deeper into data, as well as those used to present the findings, such as data visualization tools. On the other hand, data analysis is concerned with the process of transforming raw data into meaningful statistics, information, and explanations.

Data visualization is an interdisciplinary field concerned with the depiction of data graphically. When the data is large, such as in a time series, it is a very effective manner of conveying.