
Sách Learning Data Science Data Wrangling, Exploration, Visualization, and Modeling with Python (Sách keo gáy, bìa mềm)
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
Categories:Computers - Computer Science
Year:2023
Edition:1
Language:english
Pages:597