A Simple Course on Data Science with Python - Ganapathi, Padmavathi
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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…mehr

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Produktbeschreibung
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.
Autorenporträt
Prof. 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, Cyber Security, Wireless Communication and Real Time Systems.