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

By:

Lau Sam

Publication details: Shroff/O’Reilly 2023 IndiaEdition: 1stDescription: 596ISBN:

9789355424853

Subject(s):

DDC classification:

005.74015 LAU

Summary: 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. Refine a question of interest to one that can be studied with data Pursue data collection that may involve text processing, web scraping, etc. Glean valuable insights about data through data cleaning, exploration, and visualization Learn how to use modeling to describe the data Generalize findings beyond the data Source:https://www.amazon.in/Learning-Data-Science-Exploration-Visualization/dp/935542485X/ref=sr_1_1?crid=1CJ1P8341UH4V&keywords=9789355424853&qid=1703255029&sprefix=9789355421982%2Caps%2C279&sr=8-1

List(s) this item appears in: New Arrivals February 2024

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Item type	Current library	Collection	Call number	Status	Date due	Barcode
Book	Main Library Analytics	Reference book	005.74015 LAU (Browse shelf(Opens below))	Available		119104

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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.

Refine a question of interest to one that can be studied with data
Pursue data collection that may involve text processing, web scraping, etc.
Glean valuable insights about data through data cleaning, exploration, and visualization
Learn how to use modeling to describe the data
Generalize findings beyond the data

Source:https://www.amazon.in/Learning-Data-Science-Exploration-Visualization/dp/935542485X/ref=sr_1_1?crid=1CJ1P8341UH4V&keywords=9789355424853&qid=1703255029&sprefix=9789355421982%2Caps%2C279&sr=8-1

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