Practical Business Analytics Using R and Python: Solve Business Problems Using a Data-driven Approach 2nd Edition

Practical Business Analytics Using R and Python: Solve Business Problems Using a Data-driven Approach 2nd Edition – Ebook Instant Download/Delivery ISBN(s): 9781484287538,1484287533,9781484287545, 1484287541

Product details:

• ISBN-10: 1484287541
• ISBN-13: 9781484287545
• Author: Umesh R. Hodeghatta; Umesha Nayak

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.

Table contents:

Part I. Introduction to Analytics
1. An Overview of Business Analytics
2. The Foundations of Business Analytics
3. Structured Query Language Analytics
4. Business Analytics Process
5. Exploratory Data Analysis
6. Evaluating Analytics Model Performance
Part II. Supervised Learning and Predictive Analytics
7. Simple Linear Regression
8. Multiple Linear Regression
9. Classification
10. Neural Networks
11. Logistic Regression
Part III. Time-Series Models
12. Time Series: Forecasting
Part IV. Unsupervised Models and Text Mining
13. Cluster Analysis
14. Relationship Data Mining
15. Introduction to Natural Language Processing
16. Big Data Analytics and Future Trends
Part V. Business Analytics Tools
17. R for Analytics
18. Python Programming for Analytics

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