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.
The Typesafe Introductory Scala for Data Science Curriculum is designed to give experienced Data Developers and Data Scientists the knowledge to confidently start programming in Scala for data science tasks. The course ensures they will have a solid understanding of the fundamentals of the language, the tooling, and the development process as well as a good appreciation of the more advanced features. If students already have Scala programming experience, then this course could be a useful refresher, yet no previous knowledge of Scala is assumed.
Learners taking this course should have:
- Experience with Java (preferred), Python, or another object-oriented language
- No previous Scala knowledge is required
- No previous experience with Data Science concepts is required. These concepts will be explained as needed
- Question: Do I have to install anything on my computer?
- Answer: No. The only thing you need is a web browser. Everything you need to complete this course will be provided to you over the internet
- Question: What web browser should I use?
- Answer: The Skills Network platform works best with current versions of Chrome, Firefox, Safari, or Edge. Internet Explorer is not supported and may not work
- Question: Can I complete this course on a mobile device?
- Answer: While lesson contents can be displayed on a mobile device such as a smartphone or a tablet you will have a much better experience completing this course on a computer with a larger screen. In addition, this course has several hands-on labs that are nearly impossible to do on a smartphone’s small screen.