To be able to perform data analysis at the highest level possible, analysts and data professionals will use software that will ensure the best results in several tasks from executing algorithms, preparing data, generating predictions, and automating processes, to standard tasks such as visualizing and reporting on the data. Although there are many of these solutions on the market, data analysts must choose wisely in order to benefit their analytical efforts. That said, in this article, we will cover the best data analyst tools and name the key features of each based on various types of analysis processes. But first, we will start with a basic definition and a brief introduction.
WHAT ARE DATA ANALYST TOOLS?
Data analyst tools is a term used to describe software and applications that data analysts use in order to develop and perform analytical processes that help companies to make better, informed business decisions while decreasing costs and increasing profits.
Here’s the list of the top 7 basic analytical tools for both beginners and advanced Data Analyst
- Microsoft Excel
- Google Sheet
- Power BI
- Tableau
- Looker Studio
- SQL
- Python
