Practical Business Analytics Using R and Python: Solve Business Problems Using a Data-driven Approach - Image 1

£41.62

Apress Practical Business Analytics Using R and Python: Solve Business Problems Using a Data-driven Approach

Name: Practical Business Analytics Using R and Python: Solve Business Problems Using a Data-driven Approach
Brand: Apress
Price: 41.9 GBP
Availability: InStock

AI & Machine Learning

Price History & Forecast

Last 31 days • 31 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 31 days • 1 price levels

Days at Price

Price Analysis

Most common price: £42 (31 days, 100.0%)

Price range: £42 - £42

Price levels: 1 different prices over 31 days

Description

This book illustrates how data can be useful in solving business problems. It explores various analytics techniques for using data to discover hidden patterns and relationships, predict future outcomes, optimize efficiency and improve the performance of organizations. You’ll learn how to analyze data by applying concepts of statistics, probability theory, and linear algebra. In this new edition, both R and Python are used to demonstrate these analyses. Practical Business Analytics Using R and Python also features new chapters covering databases, SQL, Neural networks, Text Analytics, and Natural Language Processing. Part one begins with an introduction to analytics, the foundations required to perform data analytics, and explains different analytics terms and concepts such as databases and SQL, basic statistics, probability theory, and data exploration. Part two introduces predictive models using statistical machine learning and discusses concepts like regression, classification, and neural networks. Part three covers two of the most popular unsupervised learning techniques, clustering and association mining, as well as text mining and natural language processing (NLP). The book concludes with an overview of big data analytics, R and Python essentials for analytics including libraries such as pandas and NumPy. Upon completing this book, you will understand how to improve business outcomes by leveraging R and Python for data analytics. What You Will Learn Master the mathematical foundations required for business analytics Understand various analytics models and data mining techniques such as regression, supervised machine learning algorithms for modeling, unsupervised modeling techniques, and how to choose the correct algorithm for analysis in any given task Use R and Python to develop descriptive models, predictive models, and optimize models Interpret and recommend actions based on analytical model outcomes Who This Book Is For Software professionals and developers, managers, and executives who want to understand and learn the fundamentals of analytics using R and Python.

Product Specifications

Brand: Apress
Format: paperback
ASIN: 1484287533
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 04 April 2023
Listed Since: 04 August 2022

Barcode

No barcode data available

Apress Practical Business Analytics Using R and Python: Solve Business Problems Using a Data-driven Approach

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Advanced Data Analytics Using Python: With Machine Learning, Deep Learning and NLP Examples

Data Analytics for Business: AI-ML-PBI-SQL-R

Data Science Using Python and R (Wiley Series on Methods and Applications in Data Mining)

Practical Machine Learning for Data Analysis Using Python

Data Mining for Business Analytics: Concepts, Techniques and Applications in Python

Practical Machine Learning with Python: A Problem-Solver's Guide to Building Real-World Intelligent Systems

Statistics for Machine Learning: Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R

Data Analysis and Visualization Using Python: Analyze Data to Create Visualizations for BI Systems

Machine Learning for Business Analytics: Concepts, Techniques, and Applications in R

Data Science and Predictive Analytics: Biomedical and Health Applications using R (The Springer Series in Applied Machine Learning)

Data Science and Predictive Analytics: Biomedical and Health Applications using R (The Springer Series in Applied Machine Learning)

Data Analytics for Finance Using Python (Advances in Digital Technologies for Smart Applications)

The Data Science Manual: A Comprehensive Guide to Tools and Techniques for Data Analysis, Modeling, and Deployment with Python

Python Machine Learning Case Studies: Five Case Studies for the Data Scientist

R for Business Analytics

Python for R Users: A Data Science Approach

Algorithms for Data Science

Hands-On Data Analysis with Pandas: A Python data science handbook for data collection, wrangling, analysis, and visualization

A User's Guide to Business Analytics

Hands-on Machine Learning with Python: Implement Neural Network Solutions with Scikit-learn and PyTorch

Apress Essential Data Analytics, Data Science, and AI Guide

Data Analytics and Business Intelligence: Computational Frameworks, Practices, and Applications

Advanced Analytics in Power BI with R and Python: Ingesting, Transforming, Visualizing

Data Science and Analytics with Python (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)