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It goes without saying that we now live in a world which is completely driven by data, and most business or data scientists will have an understanding of how to collect, store, process and analyse given data, however the process to achieve all of this can sometimes affect the quality of the results found.
This is one of the primary reasons that businesses and analysts need to do everything within their power to manage their data as effectively and efficiently as possible, and part of that comes down to the tools they decide to use.
Tools are an important part of the process and Gyana’s recently published blog post covers the top 10 data science software tools that analysts can or should be making use of in order to provide the data needed for crucial business decisions. They discuss why analysts should consider using each tool and how they can solve analysts’ data problems.
Topping the list is Gyana’s very own data science software, which boasts being a no-code data analytics tool that anyone can use, regardless of prior experience or not. Unlike a lot of available tools out there on the market, Gyana’s tool allows analysts to make use of its built-in machine learning systems, they only need to import their complex data and click a few buttons in order to get the analysis they require.
This is perhaps one of the most modern approaches to data science that anyone has ever seen, as it doesn’t matter where a user’s data currently is stored or the format it’s saved in – their tool allows for a broad range of file types and sources to be imported.
A few other data science software tools that made it to the list are the likes of DataRobot, Qubole, Trifacta, Altair and Lumen Data among others, which all come with their own impressive features for readers to consider and compare with.
To read more about the top 10 data science software tools published by Gyana or to check out their software, head on over to their website here: https://www.gyana.com
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