About Analytics: Business Intelligence, Algorithms and Statistical Analysis:
Analytics – Business Intelligence, Algorithms and Statistical Analysis
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 – Chose 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
An Introduction to R
And Much More…
Scroll up to download your copy today!
Buy the book:
Author Bio:
Analytics – Business Intelligence, Algorithms and Statistical Analysis
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 – Chose 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
An Introduction to R
And Much More…
Scroll up to download your copy today!