Data Science Using Python : A step-by- step Practical Approach for Beginners Edition 2025,PB

The book Data Science Using Python: A Step-by-Step Practical Approach for Beginners (Edition 2025, Paperback) is a complete learning resource for individuals who want to enter the rapidly growing field of data science. It is carefully structured to guide beginners from basic programming concepts to practical data science applications using Python. The book begins with an introduction to data science, its scope, and real-world applications. It then explains essential Python programming concepts required for data analysis. Readers are introduced to powerful libraries such as NumPy for numerical computation, Pandas for data manipulation, Matplotlib and Seaborn for visualization, and Scikit-learn for basic machine learning tasks. A strong focus is placed on practical learning through step-by-step explanations, real datasets, and hands-on exercises. Topics such as data cleaning, preprocessing, exploratory data analysis (EDA), and basic predictive modeling are covered in detail. The book also highlights how data science is applied in industries like finance, healthcare, marketing, and business analytics. It helps learners understand how to extract meaningful insights from raw data and make data-driven decisions. This edition is ideal for students, beginners, and professionals transitioning into data science. It serves as a strong foundation for advanced studies in machine learning, artificial intelligence, and big data analytics.