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Scala Essential Training For Data Science
Released 07/2025
With Dan Sullivan
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 2h 14m 3s | Size: 246 MB
The course emphasizes the Scala features most useful to data scientists, including custom functions, parallel processing, and programming Spark with Scala.
Course details
Get an introduction to the Scala functional programming language. Instructor Dan Sullivan emphasizes the features most useful to data scientists, including custom functions, parallel processing, and programming Spark with Scala. Dan begins with a brief introduction to Scala for programmers familiar with other programming languages, such as Python or Java. The course then moves to describe how to use SQL from Scala, which will be particularly useful to data scientists since they most often extract data from relational databases. Then, learn about parallel processing constructs in Scala. These techniques are useful for medium size data sets that can be analyzed on a single server with multiple cores. As data sizes increase, data scientists often turn to distributed processing platforms, such as Spark, and this course includes two chapters on using Scala with Spark. The course concludes with a summary of advantages of using Scala for data science.
This course includes Code Challenges powered by CoderPad. Code Challenges are interactive coding exercises with real-time feedback, so you can get hands-on coding practice alongside the course content to advance your programming skills.
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