A Beginner’s Guide to Data Visualization Tools

How Data Visualization Tools Can Simplify Complex Data and Make Your Analysis Easier

Muhammad Abdullah Arif
3 min readMay 7, 2023

Data visualization tools are essential for data analysts, as they help to simplify complex data and make it easier to understand. After gathering and analyzing data, presenting the findings in a simple and understandable way is crucial. That’s where data visualization tools come in handy.

There are various data visualization tools available, including Tableau, Microstrategy, Data Studio, Looker, Datarama, Microsoft Power BI, and many more. Among these, Tableau is the most popular choice for beginners, as it is user-friendly and easy to navigate. In fact, it has become a must-have tool for beginner data analysts.

Business Intelligence and Analytics Software (tableau.com)

Tableau allows users to create interactive dashboards and visualizations, which can be customized to suit specific data needs. It has a drag-and-drop interface that allows users to create charts, graphs, and maps with just a few clicks. Additionally, Tableau has a large community of users who share tips, tricks, and best practices, making it easier for beginners to get started.

According to a recent study, data analysis jobs requiring Tableau skills are expected to grow by 34.9% over the next decade. This means that having Tableau skills can greatly improve your chances of landing a data analysis job.

In addition to Tableau, there are other data visualization tools that are worth considering. Microstrategy is another popular tool that offers advanced analytics and reporting capabilities. Data Studio, on the other hand, is a free tool offered by Google that allows users to create interactive reports and dashboards.

Business Dashboards: An Introductory Guide (microstrategy.com)
Google Analytics Solutions | Data Studio

Looker is a cloud-based tool that provides real-time data insights and visualization. It allows users to collaborate with their team members and share data insights across the organization. Datarama is a powerful data analytics tool that enables users to explore and analyze complex data sets, making it ideal for large-scale data analysis projects. Microsoft Power BI is a business intelligence tool that allows users to connect to various data sources and create interactive reports and dashboards.

Business Intelligence (BI) & Data Analytics Platform (looker.com)
Data Visualisation | Microsoft Power BI

In conclusion, data visualization tools are crucial for data analysts to simplify complex data and present their findings in an easy-to-understand manner. Tableau is a great tool for beginners, with its user-friendly interface and vast community support. However, there are other tools worth considering, depending on your specific needs and data analysis projects. By mastering one or more of these tools, you can greatly improve your chances of landing a data analysis job and advancing your career.

If you found this article helpful, don’t forget to hit the follow button on my Medium profile to stay updated with more Python tutorials and tips. Follow the link to find more of my articles: Muhammad Abdullah Arif — Medium

Wishing you all the best!



Muhammad Abdullah Arif

Python developer. The facts are the facts but opinions are my own.