Overview

The field of data science integrates statistics, computing, and domain expertise to transform raw data into actionable knowledge. As organizations rely increasingly on data-driven insights, mastering analytical tools and methodologies has become essential. The Data Science Handbook offers a comprehensive overview of the data science workflow, from data collection and cleaning to modeling and visualization. The book discusses statistical inference, machine learning algorithms, and big data technologies. It also examines data ethics, reproducibility, and communication of results. Featuring real-world applications and coding examples, it serves as both a learning resource and a practical reference for aspiring data scientists and professionals in analytics-driven fields.

Full Product Details

9781779568885

Table of Contents

Reviews

Author Information

Nastaran Nazar Zadeh is a highly experienced computer engineer, researcher, and advisor in the fields of robotics, artificial intelligence and computer science. She holds a Master of Science in Computer Engineering from Mapua University of the Philippines and pursed her Ph.D. in Electronic Engineering at the same institution. With over seven years of teaching experience, Nastaran has taught electronic and computer engineering programs at several reputable academic institutions, where she has also led numerous thesis studies. Her research focuses on developing robotics systems with A.I. and machine learning, which enables her to stay up-to-date with the latest advancements in the field and implement cutting-edge technologies.

Tab Content 6

Countries Available