Data science essentials / by Lillian Pierson.

Format:

Book

Author/Creator:

Pierson, Lillian.

Series:

--For dummies.

For dummies

Language:

English

Subjects (All):

Information technology.

Information retrieval.

Databases.

Data mining.

Physical Description:

1 online resource (195 pages)

Edition:

1st ed.

Place of Publication:

Newark : John Wiley & Sons, Incorporated, 2024.

Summary:

Data Science Essentials For Dummies is a quick reference on the core concepts of the exploding and in-demand data science field, which involves data collection and working on dataset cleaning, processing, and visualization. This direct and accessible resource helps you brush up on key topics and is right to the point—eliminating review material, wordy explanations, and fluff—so you get what you need, fast. Perfect for supplementing classroom learning, reviewing for a certification, or staying knowledgeable on the job, Data Science Essentials For Dummies is a reliable reference that's great to keep on hand as an everyday desk reference.

Contents:

Wrapping your head around data

Tapping into critical aspects of data engineering

Using a machine to learn from data

Math, probability and statistical modeling

Grouping your way into accurate predictions

Coding up data insights and decision engines

Generating insights with software applications

Telling powerful stories with data

Ten free or low cost science data libraries and platforms

Notes:

Includes index.

Description based on publisher supplied metadata and other sources.

ISBN:

9781394297016

1394297017

9781394297023

1394297025

OCLC:

1477811330