Scala Programming for Data Science

To light a fire, do you use a match, a lighter, or a torch? Depends on the size of the fire, much like the decisions that lead one to use Python, R, or Scala. Spark your interest in selecting the tools you need to tackle Big Data with ease, that will not just blow out.

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3 Courses

Scala Programming for Data Science - Level 2 Badge

About this Learning Path

Data Scientists tend to favor one of three programming languages, Python, R, or Scala. Which to choose? Learn Scala if you are an aspiring or a seasoned Data Scientist (or Data Engineer) who is planning to work with Apache Spark to tackle Big Data with ease. This learning path has been developed by Lightbend (formerly Typesafe), the undisputed authority on all things Scala. Come along and start your journey to receiving the following badges: Scala Programming for Data Science – Level 1 and Scala Programming for Data Science – Level 2.
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Scala Programming for Data Science - Level 2

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Scala Programming for Data Science Courses
  • Scala 101
    Beginner Course Scala

    Scala 101

    Scala is a very unique programming language. It is compatible with Java yet a bit different, as it supports two programming paradigms: object-oriented programming (OOP) and functional programming (FP). Scala is also being used in Big data space along with Apache Spark, which has further fueled its adoption by many Java developers interested in Big Data Space. Learning Scala will certainly make you more marketable. Many companies are using or migrating to Scala these days, including Twitter, LinkedIn, Foursquare, and Quora.

    (48)     Continue
  • Data Science with Scala
    Course

    Data Science with Scala

    Apache Spark™ is a fast and general engine for large-scale data processing, with built-in modules for streaming, SQL, machine learning and graph processing. This course shows how to use Spark’s machine learning pipelines to fit models and search for optimal hyperparameters using a Spark cluster.

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  • Spark Overview for Scala Analytics
    Beginner Course Scala

    Spark Overview for Scala Analytics

    The “Spark Overview for Scala Analytics” course will cover the history of Spark and how it came to be, how to build applications with Spark, establish an understanding of RDDs and DataFrames, and other advanced Spark topics. Apache Spark™ is a fast and general engine for large-scale data processing, with built-in modules for streaming, SQL, machine learning and graph processing. Having finished this class, a student would be prepared to leverage the core RDD and DataFrame APIs to perform analytics on datasets. This course is meant to be an overview of Spark and its associated ecosystem. For deeper understanding of Spark, we recommend that students take the Spark Fundamentals courses I and II.

    (18)     Continue
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Scala Programming for Data Science - Level 2
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