50 Hours of Big Data, PySpark, AWS, Scala and Scraping

The course content is designed in a way which is Simple to follow and understand, expressive, exhaustiv, practical with live coding, replete with quizzes, rich with state–of–the–art and up–to–date knowledge of this field.

I. Scala

It’s true that Scala is not among the most–loved coding languages but don’t let this minor discomfort bother you. Scala is doubtless one of the most in–demand skills for data scientists and data engineers. And the reason for this is not far to seek: The supply of professionals with Scala skills is a long way from catching up with the demand.

The well–thought–out quizzes and mini–projects in this course will cover all the important aspects and it will make your Scala learning journey that much easier. This course includes an overview of Hadoop and Spark with a hands–on project with Scala Spark. Right through the course, every theoretical explanation is followed by practical implementation.

This course is designed to reflect the most in–demand Scala skills that you will start using right away at the workplace. The 6 mini–projects and one Scala Spark project included in this course are a vital component of this course. These projects present you with a hands–on opportunity to experiment for yourself with trial and error. You get a chance to learn from the mistakes you commit. Importantly, it’s easy to understand the potential gaps that might exist between theory and practice.