Essentials of Data Science and Analytics Essentials of Data Science and Analytics

Essentials of Data Science and Analytics

Statistical Tools, Machine Learning, and R-Statistical Software Overview

    • 17,99 US$
    • 17,99 US$

Lời Giới Thiệu Của Nhà Xuất Bản

Data science and analytics have emerged as the most desired fields in driving business decisions. Using the techniques and methods of data science, decision makers can uncover hidden patterns in their data, develop algorithms and models that help improve processes and make key business decisions.

Data science is a data driven decision making approach that uses several different areas and disciplines with a purpose of extracting insights and knowledge from structured and unstructured data. The algorithms and models of data science along with machine learning and predictive modeling are widely used in solving business problems and predicting future outcomes.

This book combines the key concepts of data science and analytics to help you gain a practical understanding of these fields. The four different sections of the book are divided into chapters that explain the core of data science. Given the booming interest in data science, this book is timely and informative.

THỂ LOẠI
Kinh Doanh & Tài Chính Cá Nhân
ĐÃ PHÁT HÀNH
2021
6 tháng 7
NGÔN NGỮ
EN
Tiếng Anh
ĐỘ DÀI
484
Trang
NHÀ XUẤT BẢN
Business Expert Press
NGƯỜI BÁN
Ingram DV LLC
KÍCH THƯỚC
35,7
Mb
Business Analytics, Volume II Business Analytics, Volume II
2019
Business Analytics, Volume I Business Analytics, Volume I
2018
Introduction to Business Analytics, Second Edition Introduction to Business Analytics, Second Edition
2020
Stats To Go Stats To Go
2012
Quantitative Methods Quantitative Methods
2014
Excel Data Analysis Excel Data Analysis
2018
Applied Regression and Modeling Applied Regression and Modeling
2016
Managing and Improving Quality Managing and Improving Quality
2015
Business Analytics, Volume I Business Analytics, Volume I
2018
Business Analytics, Volume II Business Analytics, Volume II
2019
Data Visualization, Volume II Data Visualization, Volume II
2017
Data Visualization, Volume I Data Visualization, Volume I
2016