Analytics: Business Intelligence, Algorithms and Statistical Analysis

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Analytics – Business Intelligence, Algorithms, and Statistical Analysis

In today’s world, analysis has become an extremely important aspect to consider—whether you are starting a new line of business or even purchasing a new house. The unfortunate fact is that not many people know what analysis is all about. They tend to assume that each of the elements—analysis, business intelligence, algorithms, and statistical analysis—are separate entities, when in reality they are all interlinked.

This book will help you gain greater insight into all these elements. You will acquire in-depth knowledge of each topic in different parts of the book, helping you increase your understanding and broaden your horizons.

Here’s what is covered:
• Analytics 101 – including challenges and risks
• Types of Analytics – Predictive, Descriptive, and Prescriptive Analytics
• Integrating Business and Analytics – Choosing the right data and analytics
• Business Analytics Technology – Top emerging technologies, tools, and trends
• Predictive Analytics 101
• Exploring Data Types and Associated Techniques
• Business Intelligence 101
• Business Intelligence Infrastructure – Benefits and how to use it
• How to Use Business Intelligence Infrastructure
• Benefits of Business Intelligence
• Data Mining
• Data Integration – Value and benefits
• Data Visualization
• Best Algorithms for Analytics – C4.5, K-Means, and Support Vector Machines
• Statistical Analysis 101
• Data Mining Tools
• Machine Learning
• Varieties of Machine Learning
• Uses of Machine Learning
• Big Data Analytics
• Artificial Intelligence and Data Science – including Artificial Intelligence 101
• Data Science
• An Introduction to R
• And much more…

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