In today's world, analysis has become an extremely important aspect to consider when you are thinking of starting any new line of business or even when it comes to 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 different entities when in reality they are all interlinked. This book will help you gather a greater insight on all the elements. And you will gain an in-depth knowledge on each of these elements in different parts of the book; helping you to increase your knowledge and widen your horizons!

Here's what is covered:

• Analytics 101 - including the challenges and risks
• The Types of Analytics - predictive, descriptive and prescriptive analytics
• Integrating Business and Analytics - choose the right data and analytics
• Business Analytics Technology - the top emerging technologies, tools, and trends
• Predictive Analytics - 101
• Exploring Data Types Associated Techniques
• Business Intelligence 101
• Business Intelligence Infrastructure - benefits and how to use it
• How to Use the Business Intelligence Infrastructure
• The Benefits of Business Intelligence
• Data Mining
• Data Integration - including the 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
• And much more...