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Data science vs data analytics: Unpacking the differences

IBM Journey to AI blog

And you should have experience working with big data platforms such as Hadoop or Apache Spark. Additionally, data science requires experience in SQL database coding and an ability to work with unstructured data of various types, such as video, audio, pictures and text.

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How To Learn Python For Data Science?

Pickl AI

They introduce two primary data structures, Series and Data Frames, which facilitate handling structured data seamlessly. With Pandas, you can easily clean, transform, and analyse data. Use cases include visualising distributions, relationships, and categorical data, effortlessly enhancing the aesthetics of your plots.