


When Excel commenced back around 40 years ago, it was made intuitive and user friendly by design. One glamorous quality of Excel is its power-friendliness duo. This section briefly outlines the three best reasons why Excel is still prevalent in Data Analytics especially in contemporary subjects such as Power BI, Tableau, SQL, Python, and R programming. Within just a few clicks the dashboard becomes ready thanks to the advanced user-friendly features of excel such as Pivot Table and Pivot Charts.Īn example Dashboard created on Microsoft Excel/ Create a Dashboard on Microsoft Excel -> 3 Fantastic Qualities of Excel in Data Analytics

With Excel, you can learn to build state of the art analytics dashboards as shown in the graphic. Organizations find this feature useful in enabling an enterprise wide data democratization (aka data culture).
Excel essentials for data analytics driver#
Excel essentials for data analytics software#
Microsoft Excel is an industry leading spreadsheet software that’s equipped with fantastic features letting analysts perform powerful analysis and visualizations on data. Excel is a doorstep to Future Analytics.Excel builds a strong foundation for Data Analytics.3 Fantastic Qualities of Excel in Data Analytics.An Example of what you can do with Excel.This article credibly states how exactly, in this era of newly emerging data tools, spreadsheet software like Excel brings incredible value for data analysts.

You must be wondering how, in the presence of SQL, Python 3.11, Power BI and Tableau, Excel still holds the attention of data experts? Whether it’s the user friendliness, calculations power or relevance with newer tools, Excel stands as the top data management and preparation tool in the modern analytics toolkit. One of the main-stays in the analytics toolkit, Excel continues to captivate employers and data analysts for its analytical efficacy.
