Scala & Spark-Master Big Data with Scala and Spark [Video]

By AI Sciences
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  1. Introduction

About this video

The course Scala from Beginner to Pro is refreshingly different. The well-thought-out quizzes and mini projects that cover all the important aspects 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 course is simple to follow and understand. Expressive, exhaustive, and practical with live coding sessions and replete with quizzes. Rich with state-of-the-art and up-to-date knowledge of this field.

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 make. Importantly, it’s easy to understand the potential gaps that might exist between theory and practice.

Code bundles are available here:

Publication date:
August 2021
12 hours 47 minutes

About the Author

  • AI Sciences

    AI Sciences are a group of experts, PhDs, and practitioners of artificial intelligence, computer science, machine learning, and statistics, some of whom work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM. They have produced a series of courses and books mainly dedicated to beginners and newcomers on the techniques and methods of machine learning, statistics, artificial intelligence, and data science. Initially, their objective was to help those wishing to understand these techniques more easily, so they are able to start without too much theory and reading. Today, they also publish more complete courses on some topics for a wider audience.

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Scala & Spark-Master Big Data with Scala and Spark [Video]
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