Introduction to Data Science

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NPR 1,008.00


Introduction to Data Science

Unlock the potential of data with our comprehensive guide to data science, the most sought-after skill in today's digital age.

NPR 1,008.00 1008.0 NPR NPR 1,119.00

NPR 1,119.00


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  • Pages 576
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Introduction to Data Science

Unlock the potential of data with our comprehensive guide to data science, the most sought-after skill in today's digital age. This book is your gateway to mastering the diverse and dynamic field of data science, offering a clear and concise introduction to its core concepts and practices. Designed for students, professionals, and anyone eager to delve into data science, this book provides a structured learning path, complete with motivating examples, discussion points, and a wealth of online resources. Explore the entire data science lifecycle, from data acquisition to model evaluation, and gain hands-on experience with an end-to-end case study in Python. Whether you're pursuing a career in data science or enhancing your technical skills, this book is your essential companion on the journey to becoming a data-savvy professional. Comprehensive Guide to Data Science

Features:
  • Comprehensive Coverage: Delve into all critical phases of a data science project, including data acquisition, exploratory analysis, feature engineering, and model validation. 
  • Accessible Language: Written in lucid and easy-to-understand English, making complex concepts approachable for learners from diverse backgrounds. 
  •  Practical Insights: Includes an end-to-end case study with Python code, providing practical experience in implementing data science projects.
Table of Content

Chapter 1. Introduction
Chapter 2. Basic Statistical Foundation for Data Science
Chapter 3. Data Acquisition and Integration
Chapter 4. Exploratory Data Analysis (EDA)
Chapter 5. Data Preparation
Chapter 6. Feature Engineering
Chapter 7. Processing Text Data
Chapter 8. Model Creation and Validation
Chapter 9. Handling Large Datasets
Chapter 10. Data Warehousing and Data Mining Appendix Case Study – Prediction & Reasons for Employees Attrition

Book
Author Das/ Bora/ Dhure
Pages 576
Year 2025
ISBN 9789367136980
Publisher Pearson
Language English
Uncategorized
Edition 1/e
Weight 700 g
Dimensions 23.5 x 17.2 x 2.3 cm
Binding Paperback