top of page
octa-mark-transparent.png
DS-102 : Python Programming for Data Science

DS-102 : Python Programming for Data Science

$1,499.00 Regular Price
$999.00Sale Price
Quantity

DS-102: Python Programming for Data Science is the second volume in the Octa ByteLabs Professional Learning Manual Series, designed to provide learners with a strong foundation in Python programming and its powerful applications in Data Science. Ideal for aspiring data scientists, data analysts, AI professionals, software developers, and technology enthusiasts, this comprehensive guide takes readers from Python fundamentals to real-world data analysis and machine learning applications.


The book begins with the core concepts of Python programming, including variables, data types, operators, control statements, functions, object-oriented programming, exception handling, modules, and file handling. It then progresses to industry-standard libraries such as NumPy, Pandas, Matplotlib, and Seaborn, enabling learners to perform efficient data manipulation, visualization, and exploratory data analysis (EDA).


Readers will gain hands-on experience in data preprocessing, feature engineering, statistical analysis, and introductory machine learning using Scikit-learn. Every concept is supported by practical coding examples, real-world datasets, visual illustrations, business scenarios, and industry-focused case studies that make learning engaging and applicable.


Unlike traditional programming books, DS-102 emphasizes practical implementation through coding exercises, chapter-end assessments, mini projects, and real-world problem-solving techniques. Whether you are preparing for a career in Data Science, enhancing your programming skills, or building the foundation required for Artificial Intelligence and Machine Learning, this book provides the practical knowledge and confidence needed to succeed.


Professionally authored and presented in a premium hardcover format, this learning manual serves as a valuable reference for students, working professionals, educators, researchers, and organizations seeking to develop strong Python programming and data analysis skills for modern technology careers.


Key Highlights


  • 300+ pages of comprehensive learning material

  • Covers Python Programming from beginner to intermediate level

  • Hands-on learning with NumPy, Pandas, Matplotlib, and Seaborn

  • Real-world datasets and industry case studies

  • Practical coding exercises and chapter-end assessments

  • Introduction to Machine Learning using Scikit-learn

  • Business-oriented projects and data analysis techniques

  • Premium hardcover edition from Octa ByteLabs

Who Should Read This Book?


  • Aspiring Data Scientists

  • Python Developers

  • Data Analysts

  • AI & Machine Learning Enthusiasts

  • College & University Students

  • Software Engineers

  • Business Intelligence Professionals

  • Researchers and Technology Professionals

What You Will Learn


  • Python Programming Fundamentals

  • Data Types, Functions & Object-Oriented Programming

  • File Handling & Exception Handling

  • NumPy for Numerical Computing

  • Pandas for Data Manipulation

  • Data Cleaning & Preprocessing

  • Exploratory Data Analysis (EDA)

  • Data Visualization using Matplotlib & Seaborn

  • Introduction to Machine Learning with Scikit-learn

  • Real-World Data Science Projects

bottom of page