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.
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.
Refine a question of interest to one that can be studied with Data Pursue Data collection that may involve text processing, web scraping, etc.
If you have a basic knowledge of Python programming, you\'ll learn how to work with Data using industry-standard tools like pandas.
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.
Learning Data Science is the first book to cover foundational skills in both programming and statistics that encompass this entire lifecycle.
We call this the Data science lifecycle: the process of collecting, wrangling, analyzing, and drawing conclusions from data.
And you want the skills required to distill a messy pile of Data into actionable insights.
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
