Fundamentals of Data Sciences for the Students of B.Tech., B.E., and B.Sc. (Engg.)

Product Overview & Details

This textbook has been designed to provide undergraduate B.Tech., B.E., B.Sc. (Engineering) and related students with a strong conceptual and practical foundation in this rapidly evolving area. This book builds a strong conceptual foundation while maintaining a clear practical orientation.

   The text systematically introduces learners to the complete data science lifecycle—starting from data types, data collection and pre-processing and progressing through exploratory data analysis, statistical reasoning, correlation and regression analysis, and data modeling. Special emphasis is placed on Python-based data handling, with detailed coverage of NumPy, Pandas and industry-relevant data visualization libraries such as Matplotlib, Seaborn, Plotly and Bokeh, enabling students to translate theory into practice.

     Statistical concepts are presented in a simplified yet rigorous manner, reducing mathematical complexity without compromising academic depth. Each chapter is structured logically, supported by real-world examples, tables, graphs and step-by-step explanations to enhance clarity and comprehension.