If you want to learn the breadth of statistical analysis techniques in Python and get an overview of the methods and tools available, you will find this book helpful. Each chapter consists of a number ...

Introduction to Python for Data Analysis¶. Recall that R is a statistical programming language—a language designed to do things like t-tests, regression, and so on.The core of R was developed during ...

In addition to that, student will also get hands-on experience creating analytics models. Some of the topics that will be covered as part of the course are as follows: Introduction to data analytics ...

Big Data Analysis with Python Processing big data in real time is challenging due to scalability, information inconsistency, and fault tolerance. With this book, you'll learn effective techniques to ...

“Python is a very easy language to learn for non-programmers,” said Peter Wang, president of Continuum Analytics. That’s important because most big-data analysts will probably not be ...

Python has turned into a data science and machine learning mainstay, while Julia was built from the ground up to do the job. Topics Spotlight: New Thinking about Cloud Computing ...

Topic clusters and recommender systems can help SEO experts create a scalable internal linking architecture. Here's how to build your own.