7 Results
7 Results
Doing data science —Schutt, Rachel, 1976- author.
Book
2013
0 available of 1 items

A guide to the usefulness of data science covers such topics as algorithms, logistic regression, financial modeling, data visualization, and data engineering.

Data science programming all-in-one for dummies —Mueller, John, 1958- author.
Book
2020
2 available of 7 items

"A compilation of the key data science, machine learning, and deep learning programming languages: Python and R. It helps you decide which programming languages are best for specific data science needs. It also gives you...

Data science from scratch : [first principles with Python] —Grus, Joel, author.
Book
2015
0 available of 1 items

Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they're also a good way to dive into the discipline without actually understanding data science. In this book, you'll learn ...

Computer science distilled : learn the art of solving computational problems —Ferreira Filho, Wladston, author.
Book
2018
0 available of 1 items

A walkthrough of computer science concepts that you must know to program computers effectively. After a simple introduction to discrete math, it presents common algorithms and data structures. It also outlines the princi...

Data science essentials in Python : collect, organize, expore, predict, value —Zinoviev, Dmitry, author.
Book
2016
0 available of 1 items

"Data science is one of the fastest-growing disciplines in terms of academic research, student enrollment, and employment. Python, with its flexibility and scalability, is quickly overtaking the R language for data-scien...

Data science from scratch : first principles with Python —Grus, Joel, author.
Book
2015
0 available of 1 items

Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they're also a good way to dive into the discipline without actually understanding data science. In this book, you'll learn ...

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