Sinossi
Usage of Internet and smart devices have simplified and facilitated the operations in remote mode and at the same time, a huge amount of data is generated and shared across the network. Data is produced from multiple sources and the amount is no smaller. Developing meaningful insights from the raw and unstructured data is a major challenge to all the organizations today, as their business processes depend on data. The science behind the data must be understood and Data Science has emerged as a major discipline that tries to address most of the challenges. Data Science is an interdisciplinary field that involves analytical process, scientific techniques, statistical and mathematical concepts, computer science, programming knowledge, data analytics, big data, data mining, machine learning, and deep learning domains. The important topics are discussed, and Python is used for implementation. The course is suitable for Professionals and Students to learn the concepts thoroughly and start a career in Data Science.
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A Simple Course on Data Science with Python
Editore:
LAP LAMBERT Academic Publishing Mai 2022, 2022
ISBN 10: 6200003319
ISBN 13: 9786200003317
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Usage of Internet and smart devices have simplified and facilitated the operations in remote mode and at the same time, a huge amount of data is generated and shared across the network. Data is produced from multiple sources and the amount is no smaller. Developing meaningful insights from the raw and unstructured data is a major challenge to all the organizations today, as their business processes depend on data. The science behind the data must be understood and Data Science has emerged as a major discipline that tries to address most of the challenges. Data Science is an interdisciplinary field that involves analytical process, scientific techniques, statistical and mathematical concepts, computer science, programming knowledge, data analytics, big data, data mining, machine learning, and deep learning domains. The important topics are discussed, and Python is used for implementation. The course is suitable for Professionals and Students to learn the concepts thoroughly and start a career in Data Science. 212 pp. Englisch. Codice articolo 9786200003317
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A Simple Course on Data Science with Python
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LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6200003319
ISBN 13: 9786200003317
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A Simple Course on Data Science with Python
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LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6200003319
ISBN 13: 9786200003317
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A Simple Course on Data Science with Python
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ISBN 13: 9786200003317
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ganapathi PadmavathiProf. Padmavathi Ganapathi is the Professor and Dean-School of Physical Sciences and Computational Sciences, Avinashilingam Institute for Home Science and Higher Education for Women. Her areas of interest include,. Codice articolo 608191477
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A Simple Course on Data Science with Python
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ISBN 10: 6200003319
ISBN 13: 9786200003317
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Condizione: New. PRINT ON DEMAND. Codice articolo 18405876860
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A Simple Course on Data Science with Python
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ISBN 13: 9786200003317
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Taschenbuch. Condizione: Neu. A Simple Course on Data Science with Python | Padmavathi Ganapathi | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9786200003317 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 121991717
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A Simple Course on Data Science with Python
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LAP LAMBERT Academic Publishing Mai 2022, 2022
ISBN 10: 6200003319
ISBN 13: 9786200003317
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Usage of Internet and smart devices have simplified and facilitated the operations in remote mode and at the same time, a huge amount of data is generated and shared across the network. Data is produced from multiple sources and the amount is no smaller. Developing meaningful insights from the raw and unstructured data is a major challenge to all the organizations today, as their business processes depend on data. The science behind the data must be understood and Data Science has emerged as a major discipline that tries to address most of the challenges. Data Science is an interdisciplinary field that involves analytical process, scientific techniques, statistical and mathematical concepts, computer science, programming knowledge, data analytics, big data, data mining, machine learning, and deep learning domains. The important topics are discussed, and Python is used for implementation. The course is suitable for Professionals and Students to learn the concepts thoroughly and start a career in Data Science.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 212 pp. Englisch. Codice articolo 9786200003317
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A Simple Course on Data Science with Python
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LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6200003319
ISBN 13: 9786200003317
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Usage of Internet and smart devices have simplified and facilitated the operations in remote mode and at the same time, a huge amount of data is generated and shared across the network. Data is produced from multiple sources and the amount is no smaller. Developing meaningful insights from the raw and unstructured data is a major challenge to all the organizations today, as their business processes depend on data. The science behind the data must be understood and Data Science has emerged as a major discipline that tries to address most of the challenges. Data Science is an interdisciplinary field that involves analytical process, scientific techniques, statistical and mathematical concepts, computer science, programming knowledge, data analytics, big data, data mining, machine learning, and deep learning domains. The important topics are discussed, and Python is used for implementation. The course is suitable for Professionals and Students to learn the concepts thoroughly and start a career in Data Science. Codice articolo 9786200003317
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