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Data Science Fundamentals provides a clear and practical introduction to the core concepts, tools, and techniques of data science. Designed for students and beginners, this textbook covers essential topics such as data collection, cleaning, visualization, statistical analysis, and machine learning. With real-world examples, Python-based implementations, and hands-on exercises, it bridges theory and practice, making it ideal for classroom learning or self-study. The book also explores ethical considerations and the role of data science in various industries, offering a well-rounded foundation...

This Book elaborates on how the IT industry can reduce the amount of carbon foot print and their percentage of contribution to the environment against carbon emission. It also portrays on how to choose components in the IT industry which helps in promoting towards green. It also suggests the shifting of data storage to cloud so that the usage of hardware con be reduced to certain extent. It also demonstrates briefly on the concept of virtualization. This text includes case studies regarding various fields and their activities to promote green.