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Sam Lau,Joseph Gonzalez,Deborah Nolan

Learning Data Science: Data Wrangling, Exploration, Visualization, and Modeling with Python

Learning Data Science: Data Wrangling, Exploration, Visualization, and Modeling with Python

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  • More about Learning Data Science: Data Wrangling, Exploration, Visualization, and Modeling with Python


Learning Data Science is the first book to cover foundational skills in programming and statistics for the data science lifecycle, aimed at those who wish to become data scientists or data analysts.

Format: Paperback / softback
Length: 600 pages
Publication date: 30 September 2023
Publisher: O'Reilly Media


As an aspiring data scientist, you understand the critical role that data plays in making important decisions across various industries. Whether it's for companies designing websites, cities planning service improvements, or scientists seeking to prevent disease outbreaks, data is the driving force behind informed decision-making. You aspire to acquire the skills necessary to transform a cluttered pile of data into actionable insights, a process known as the data science lifecycle. This comprehensive journey encompasses collecting, wrangling, analyzing, and drawing conclusions from data.

Learning Data Science, the first book in this field, is designed to provide a solid foundation in programming and statistics, covering the entire data science lifecycle. Whether you're aspiring to become a data scientist or already working alongside data professionals, this book is tailored to your needs. It also serves as a valuable resource for data analysts who wish to bridge the technical/nontechnical divide.

With a basic understanding of Python programming, you'll learn how to leverage industry-standard tools like pandas to work with data effectively. You'll refine your research question to one that can be studied through data-driven analysis, pursue data collection methods such as text processing and web scraping, and extract valuable insights through data cleaning, exploration, and visualization.

Modeling is a crucial skill in data science, allowing you to describe and interpret data patterns. You'll learn how to use various modeling techniques, including regression, classification, and clustering, to make predictions and draw meaningful conclusions from your data.

By applying these foundational skills and techniques, you'll be well-equipped to tackle complex data challenges and contribute to meaningful research and innovation in various fields. The data science lifecycle provides a structured framework for analyzing and interpreting data, enabling you to make data-driven decisions and drive positive change. So, whether you're just starting your journey into data science or looking to enhance your skills, Learning Data Science is the perfect guide to help you achieve your goals.

Weight: 1026g
Dimension: 178 x 234 x 34 (mm)
ISBN-13: 9781098113001

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