What’s more, it features calculations and graphing functions that are ideal for data analysis. Cons: Cost, calculation errors, poor at handling big data.Įxcel: the world’s best-known spreadsheet software.Pros: Widely-used, with lots of useful functions and plug-ins.Mostly used for: Data wrangling and reporting.Here are the data analysis tools we’ll cover: Whether you’re preparing for an interview, or are deciding which tool to learn next, by the end of this post you’ll have an idea how to progress. Then we’ll move onto some of the more popular tools and platforms used by organizations large and small. We’ll start our list with the must-haves-the data analysis tools you can’t do without.
Short on time? Then check out our four minute whistle-stop tour of the most commonly used data analytics tools. From open-source tools to commercial software, you’ll get a quick overview of each, including its applications, pros, and cons. In this post, we’ll highlight some of the key data analytics tools you need to know and why. If you’re considering a career in the field, you’ll want to know: Which data analysis tools do I need to learn?
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