How is Data Science different from Big Data and Data Analytics?


Data Science utilizes algorithms and tools to draw meaningful and commercially useful insights from raw data. It involves tasks like data modeling, data cleansing, analysis, pre-processing, etc.
Big Data is the enormous set of structured, semi-structured, and unstructured data in its raw form generated through various channels.
And finally, Data Analytics provides operational insights into complex business scenarios. It also helps in predicting upcoming opportunities and threats for an organization to exploit.

Essentially, big data is the process of handling large volumes of data. It includes standard practices for data management and processing at a high speed maintaining the consistency of data. Data analytics is associated with gaining meaningful insights from the data through mathematical or non-mathematical processes. Data Science is the art of making intelligent systems so that they learn from data and then make decisions according to past experiences.

Join us at Great Learning to become an expert in the field of data science today only!!


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