Data Analytics using Python

Data Analytics Using Python offers a clear and practical roadmap for mastering data analytics from the ground up. Designed for students, beginners, and professionals alike, it breaks down core concepts into simple, accessible explanations supported by illustrative examples. Each chapter features hands-on exercises and Python implementations that guide learners through essential techniques, including data preprocessing, visualization, feature engineering, model building, data ethics, and domain-specific applications. Real-world case studies further demonstrate how analytics is applied across sectors, helping readers connect theoretical learning with practical decision-making. The book also introduces key tools from the Python ecosystem, including NumPy, Pandas, Matplotlib, and Scikit-learn, making it a comprehensive and ready-to-use learning resource. With its step-by-step approach, skill-building activities, and application-focused structure, this book equips learners to confidently analyse data and solve real-world problems, making it an ideal choice for both classroom adoption and independent study.

• Covers essential topics such as data preprocessing, visualization, feature engineering, model building, and data ethics
• Introduces widely used Python tools, including NumPy, Pandas, Matplotlib, and Scikit-learn
• Includes real-world case studies and domain-specific applications across sectors