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Top 5 tools for beginners in Data Science
August 26, 2020 -- By

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Becoming a data scientist is no easy job, but it can become slightly easier if you have the right tools and software for it; learning these tools Along with programming knowledge, you must be skilled in these tools too. Most companies use these tools regularly for their data manipulation and extraction purposes, so they expect their employees to master them. Learning these tools thus not only increase your productivity and effectiveness in your career, but also increase your employability. Here we have curated for you a list of must have statistical, programming and visualization tools (in no particular order) that you must familiarise yourself in the process of your learning:

·        MATLAB

·        Tableau

·        SAS

·        Jupyter

·         Microsoft Excel



Most of us know MATLAB as a mathematical computing software used mainly for scientific research purposes. MATLAB has also found wide use in image and signal processing. But MATLAB can also be used to deal with deep learning neural networks, data visualizations, fuzzy logic. MATLAB also can be easily integrated into business and enterprise applications. Extremely scalable in nature, MATLAB code can also be converted into C/C++/CUDA code.












Mainly a statistical software package, SAS has now become a top choice for data scientists around the world too, for performing data analysis and statistical analyses. The software itself is a collection of numerous statistical libraries that help in statistical modelling. SAS uses its inbuilt SAS language for advanced usage, even though it provides a GUI for more casual users. Even though a free version is available only for students and research purposes, owing to its proprietary nature and high pricing, it is only used by large enterprises around the world. 














Microsoft Excel

Looks can be deceiving, and MS-Excel is a prime example of that. Everyone has heard of MS-Excel, and has probably used it at some point of time. However, MS-Excel is an extremely powerful analytical and statistical tool under the surface, and is the most popular tool today used by data analysts. It is powerful enough to handle large volumes of data, and can be used with SQL also. The release of Analysis ToolPak for MS-Excel has enhanced it’s usability very much. For small scale enterprises and businesses, it is the most ideal tool for data processing and analysis.