As an aspiring data scientist, you appreciate why organizations rely on data for important decisions-whether it's for companies designing websites, cities deciding how to improve services, or scientists discovering how to stop the spread of disease. And you want the skills required to distill a messy pile of data into actionable insights. We call this the data science lifecycle: the process of collecting, wrangling, analyzing, and drawing conclusions from data.
Learning Data Science is the first book to cover foundational skills in both programming and statistics that encompass this entire lifecycle. It's aimed at those who wish to become data scientists or who already work with data scientists, and at data analysts who wish to cross the "technical/nontechnical" divide. If you have a basic knowledge of Python programming, you'll learn how to work with data using industry-standard tools like pandas.
ISBN: | 9781098113001 |
Publication date: | 29th September 2023 |
Author: | Sam Lau, Joseph Gonzalez, Deborah Ann Nolan |
Publisher: | O'Reilly an imprint of O'Reilly Media |
Format: | Paperback |
Pagination: | 594 pages |
Genres: |
Probability and statistics Data capture and analysis Data mining Machine learning |