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

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

Author: Sam Lau
$89.99 8999
100 items In Stock
  • Successful pre-order.Thanks for contacting us!
  • Order within
Book Title
Learning Data Science: Data Wrangling, Exploration, Visualization, and Modeling with Python
Author
Sam Lau
ISBN
9781098113001
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 Binding Type: PaperbackAuthor: Sam Lau, Joseph Gonzalez, Deborah NolanPublisher: O'Reilly MediaPublished: 10/24/2023ISBN: 9781098113001Pages: 594Weight: 2.06lbsSize: 9.19h x 7.00w x 1.21d

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


Binding Type: Paperback
Author: Sam Lau, Joseph Gonzalez, Deborah Nolan
Publisher: O'Reilly Media
Published: 10/24/2023
ISBN: 9781098113001
Pages: 594
Weight: 2.06lbs
Size: 9.19h x 7.00w x 1.21d

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


Binding Type: Paperback
Author: Sam Lau, Joseph Gonzalez, Deborah Nolan
Publisher: O'Reilly Media
Published: 10/24/2023
ISBN: 9781098113001
Pages: 594
Weight: 2.06lbs
Size: 9.19h x 7.00w x 1.21d