Beginner's Guide To Data Analytics
by Oliver Theobald /
2017 / English / PDF, EPUB
1 MB Download
Start here if you are:
A marketing professional, financial analyst, politician, CEO, professional coach, student or a decision maker in an organization. This book is the start of the road to becoming a data scientist or data literate professional.
In today's modern world it’s extremely important to understand data analytics. This includes the various processes, resources, advantages and limitations of data analytics.
It's important that you can grasp the terminology and basic concepts of data analytics just as much as you need to understand basic accounting and financial literacy to be a successful decision maker in business.
This books is about ‘Data literacy’ and provides a easy-to-follow introduction to data mining and machine learning techniques.
This book is ideal for anyone who is interested in making sense of data analytics without the assumption that you understand specific data science terminology or advanced programming language.
Data Techniques covered:
Regression
Data Reduction
Classification
Clustering
Anomaly Detection
Text Mining
Association Analysis
Sequence Mining
Support Vector Machine Algorithms
Artificial Neural Networks - Deep Learning
Data Visualisation
