Programming Skills for Data Science: Start Writing Code to Wrangle, Analyze, and Visualize Data with R, First Edition
by Joel Ross, Michael Freeman
Foreword
The data science skill set is ever-expanding to include more and more of the analytics pipeline. In addition to fitting statistical and machine learning models, data scientists are expected to ingest data from different file formats, interact with APIs, work at the command line, manipulate data, create plots, build dashboards, and track all their work in git. By combining all of these components, data scientists can produce amazing results. In this text, Michael Freeman and Joel Ross have created the definitive resource for new and aspiring data scientists to learn foundational programming skills.
Michael and Joel are best known for leveraging visualization and front-end interfaces to compose explanations of complex data science topics. ...
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