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Data Collection and Preparation

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Foundations of Data Science for Engineering Problem Solving

Part of the book series: Studies in Big Data ((SBD,volume 94))

Abstract

Data science is the process that extracts insights from data, say big data. A large volume of data is generated due to the digital era and analysing these data is crucial for business growth (Provost and Fawcett [1]).

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References

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Authors and Affiliations

  1. Department of Artificial intelligence and Data Science, Vishwakarma Institute of Information Technology, Pune, India

    Parikshit Narendra Mahalle

  2. Department of Computer Engineering, STES’s Smt. Kashibai Navale College of Engineering, Pune, Maharashtra, India

    Parikshit Narendra Mahalle

  3. Department of Computer Engineering, Vishwakarma Institute of Information Technology, Pune, India

    Gitanjali Rahul Shinde

  4. Dr. D. Y. Patil Biotechnology and Bioinformatics Institute, Pune, India

    Priya Dudhale Pise

  5. Department of Computer Engineering, JSPM’s Bhivarabai Sawant Institute of Technology and Research, Pune, India

    Jyoti Yogesh Deshmukh

Authors
  1. Parikshit Narendra Mahalle
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  2. Gitanjali Rahul Shinde
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  3. Priya Dudhale Pise
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  4. Jyoti Yogesh Deshmukh
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Corresponding author

Correspondence to Parikshit Narendra Mahalle .

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Mahalle, P.N., Shinde, G.R., Pise, P.D., Deshmukh, J.Y. (2022). Data Collection and Preparation. In: Foundations of Data Science for Engineering Problem Solving. Studies in Big Data, vol 94. Springer, Singapore. https://doi.org/10.1007/978-981-16-5160-1_2

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