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Lulu The Python Guide for New Data Scientists

Name: The Python Guide for New Data Scientists
Brand: Lulu

Higher Education

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The Python Guide for New Data Scientists is written for someone who has graduated from college and has either had some discipline related course or has a desire to learn some of the basic data science building blocks. Data science is interdisciplinary, and I have work with people who have backgrounds in business or economics and are competent data scientists with some additional coursework. Ordinarily, we look for potential data scientists who have degrees in statistics, computer science, econometrics, information technology, operations research, mathematics, or engineering. That encompasses a wide range of disciplines. People who become data scientists generally have coursework in statistics, data analysis, basic programming, and college mathematics. During or after college, they have been exposed to machine learning models and prediction, R or Python programming, and some data wrangling. This book is designed to help with the latter. We'll cover basic data science tools and Python programming with Jupyter Lab. We'll cover getting and cleaning data, data preprocessing, exploratory data analysis (EDA), inferential statistics, regression models, generalized linear models, machine learning and prediction using random forests, and other algorithms. There is Python coding in every chapter, with many examples. Leaning the content is driven by very involved examples, including some using COVID-19 data. You'll find data scientists at banks, insurance companies, railroads, hospitals, utilities, and pharmaceutical companies. They work at Google, Amazon, Facebook, Netflix, Wal-Mart, Caterpillar. They are employed by the Department of Transportation (DoT), the Federal Bureau of Investigation (FBI), the Centers for Disease Control (CDC), the National Aeronautics and Space Administration (NASA). and the Department of Defense (DoD). All source code and markdown are in my GitHub repositories (there are 32 repositories) and are accessible to the public. We have a chapter covering GitHub"

Product Specifications

Brand: Lulu
Format: hardcover
ASIN: 1458321614
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Education > Higher Education
Domain: Amazon UK
Release Date: 25 March 2022
Listed Since: 18 April 2022

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Gone for 31 days. Could come back at any time — we're watching for you.

Lulu The Python Guide for New Data Scientists

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Price Analysis

Description

Product Specifications

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