Practical Guide to Data Analytics is a hands-on book designed to help readers understand and apply data analytics in real-world situations. It introduces the complete data analytics process, from collecting and cleaning data to exploring, visualizing, and interpreting results. The book provides practical guidance on tools and techniques such as Excel, Python, data visualization, statistics, and machine learning, using simple examples and real-world datasets. It is suitable for students, researchers, professionals, and beginners who want to develop practical data analytics skills and make data-driven decisions.
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