Big data analytics : applications in business and marketing

1. Embrace the Data Analytics Chase: A Journey from Basics to Business 2. Big Data Analytics and Algorithms 3. Market Basket Analysis: An Effective Data-Mining Technique for Anticipating Consumer Purchase Behavior 4. Customer View-Variation in Shopping Patterns 5. Big Data Analytics for Market Intelligence 6. Advancements and Challenges in Business Applications of SAR Images 7. Exploring Quantum Computing to Revolutionize Big Data Analytics for Various Industrial Sectors 8. Evaluation of Green Degree of Reverse Logistic of Waste Electrical Appliances 9. Nonparametric Approach of Comparing Company Performance: A Grey Relational Analysis 10. Applications of Big Data Analytics in Supply-Chain Management 11. Evaluation Study of Churn Prediction Models for Business Intelligence 12. Big Data Analytics for Marketing Intelligence 13. Demystifying the Cult of Data Analytics for Consumer Behavior: From Insights to Applications

Survival analysis uses statistics to calculate time to failure. Survival Analysis with Python takes a fresh look at this complex subject by explaining how to use the Python programming language to perform this type of analysis. As the subject itself is very mathematical and full of expressions and formulations, the book provides detailed explanations and examines practical implications. The book begins with an overview of the concepts underpinning statistical survival analysis