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This book introduces the reader to data science using R and the tidyverse. No prerequisite knowledge is needed in college-level programming or mathematics (e.g., calculus or statistics). The book is self-contained so readers can immediately begin building data science workflows.
Think Like a UX Researcher will challenge your preconceptions about user experience (UX) research and encourage you to think beyond the obvious. It provides a dive-in-anywhere book that offers practical advice and topical examples.
This text discusses the techniques to convert agricultural knowledge in the context of ontology and assist grape growers by providing this knowledge... Læs mere
Think Like a UX Researcher will challenge your preconceptions about user experience (UX) research and encourage you to think beyond the obvious. It provides a dive-in-anywhere book that offers practical advice and topical examples.
Learning Data Science is the first book to cover foundational skills in both programming and statistics that encompass the entire data science lifecycle: the process of collecting, wrangling, analyzing, and drawing conclusions from data.
With this short but thorough resource, data scientists and Python programmers will learn how the Dask open source library for parallel computing provides APIs that make it easy to parallelize PyData libraries including NumPy, pandas, and scikit-learn.
Beginning-Intermediate user level
Intermediate-Advanced user level
In Working Beyond Borders: GIS for Geospatial Collaboration, see how government, industries, and others, are using location intelligence and... Læs mere