The 9 Best Tools for Data Analysts in 2023
Recommended by Top Professionals
Offering CollegeCourseWebsiteIndian School of BusinessISB Applied Business AnalyticsVisitIn this article, we'll go through some of the most important data analytics tools you should be aware of and why. You'll get a quick review of each, including its uses, advantages, and cons, from open-source tools to commercial software. What's more, a number of those on our list have AI data analytics tools, putting you at the forefront of the field in 2023.
We'll start with the essentials — the data analysis tools you can't live without. Then we'll look at some of the more common tools and platforms utilised by businesses of all sizes. Whether you're preparing for an interview or picking which tool to learn next, you'll know where to go at the end of this article.
Here's the Data Analytics tool you can master:
- Microsoft Excel
- Python
- R
- Jupyter Notebook
- Apache Spark
- SAS
- Microsoft Power BI
- Tableau
- KNIME
Microsoft Excel
Spreadsheet software is a commercial application primarily utilized for data manipulation and generating reports. It offers a plethora of useful functions and add-ons, although it comes with the drawback of being expensive and prone to calculation errors. Additionally, it tends to struggle when handling large datasets.
Python
A programming language, available as open-source with an abundance of free libraries, serves a broad range of purposes, from extracting data to performing analysis and creating reports. Its strengths include its user-friendly learning curve, extensive flexibility, and widespread adoption. Nonetheless, it
