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VOOZH | about |
32 Hours of Live Instructor-Led Training Sessions
Get Familiar with Scala Syntax and Object-Oriented Principles
Learn Basic to Advanced Scala Concepts
Learn to Write and Test Clean and Functional Scala Codes
Learn Functional Programming Using Scala
Get Complimentary Access to 100+ e-Learning Courses
Scala is among the most popular programming languages and powers the code of several top websites around the world including Twitter, LinkedIn and The Guardian. This workshop gives you a comprehensive overview of the language and helps you dive deep into its concepts and fundamentals through a practical, hands-on tutorial.
Scala, as the blended name indicates, is a scalable language. Scala language is built on top of JVM (Java Virtual Machine) and offers all the features of Object-Oriented Programming(OOP). It has the expressive power of a dynamic programming language without compromising on type safety. Scala is described as a multi-paradigm programming language that can express common programming patterns in a concise, elegant, and type-safe way. Scala plays a significant role in Big Data, as the language is used to develop Apache Spark. According to Payscale, a salary tracking site for IT professions, the biggest winner, which delivers an average pay jump of 22.2 % is Scala, and the average salary of a Scala developer is $137,863, depending upon the number of years of experience.
The most significant benefit of learning the Scala language is a big bolster to your paycheck. There is a significant demand for Scala programmers who are paid an average salary of $107,143 per annum. You can land in one of these top companies if you are an advanced programmer in Scala. So, if object-oriented programming is your forte, and you desire a stable career in programming, the Scala Training Program should be your ideal choice. Create frameworks for a variety of applications, and master Scala best practices to land the job of your choice.
Learning Objectives:
Get introduced to Scala and learn about the new features of Scala; understand the types
Learning Objectives:
Look in detail at different flavors of defining a function. Apply the knowledge about types to make our functions polymorphic and of a higher order. Learn about recursion, tail recursion, and trampolining as important aspects of functional programming for the JVM.
Hands-on:
Implement a head-recursive function. Implement a tail-recursive function for factorial calculation. Implement a recursive function for factorial calculation using trampolining.
Learning Objectives:
Learn about different types of implicit and recap the implicit scope resolution rules. Learn about type classes and the central implementation mechanism that's utilized in modern functional programming libraries.
Hands-on:
Implement implicit conversions, implicit classes, and implicit parameters.
Learning Objectives:
Understand the situations in which property-based testing can be especially useful, and look at how the expected properties can be formulated and the test data can be produced.
Hands-on:
Learning Objectives:
Learn about functions and high-order functions. Also, learn about the usage of the collection library.
Hands-on:
Use Immutability, persistent data structures, and structural sharing.
Learning Objectives:
Revisit for loops and expressions, learn about the differences, and compose high-order functions.
Hands-on:
Implement for loops and for expressions.
Learning Objectives:
Learn about linearization, scala type system, and traits.
Hands-on:
Mix-in traits in a class to use the Linearization process.
Learning Objectives:
Learn about Pattern matching; exceptions, and tuples.
Hands-on:
Implement pattern matching by using exceptions and tuples.
Learning Objectives:
Learn how the mentioned aspects are covered by Scala's standard library.
Hands-on:
Explore built-in effects and the effects defined in the standard library, apply option, try, either and then future.
Get introduced to Scala and learn about the new features of Scala; understand the types of Scala.
Defining a function, learn about polymorphic functions, higher-order functions, and recursion.
Types of implicit; recap the implicit scope resolution rules, and learn about type classes.
Understand situations where property-based testing is useful and formulate them to produce test data.
Learn about functions and high-order functions. Also, learn about the usage of the collection library.
Learn about Pattern matching, its usage, and benefits, and learn about exceptions and tuples.
Scala is a very popular and in-demand language. Scala expertise is among the most sought-after skills in the industry due to several reasons:
Scala developers are among the highest paid in the industry earning salaries of up to $104,590 annually. This is the perfect course for you to master Scala and become an expert in it.
Enrol now and get started on a brilliant career.
On completing the Scala 101 online training, you will learn:
There are no restrictions but participants would benefit if they have basic computer knowledge.
Yes, KnowledgeHut offers this training online.
On successful completion of the course you will receive a course completion certificate issued by KnowledgeHut.
Your instructors are object-oriented programming and Scala experts who have years of industry experience.
In an online classroom, students can log in at the scheduled time to a live learning environment which is led by an instructor. You can interact, communicate, view and discuss presentations, and engage with learning resources while working in groups, all in an online setting. Our instructors use an extensive set of collaboration tools and techniques which improve your online training experience.
Minimum Requirements:
Scala is a scalable, multi-paradigm programming language that supports Object-Oriented and functional programming with a strong static type system. Influenced by Java, and designed to be concise. The Scala language provides interoperability with Java and the libraries written in either language can be referenced directly in Scala or Java code. It is even also possible to use a lot of Java libraries within Scala and most of its third-party libraries.
Scala is the most preferred language for Scalable distributed systems. One of the most prominent Big data tools it can be used with is Apache Spark. The functional programming aspect of Scala makes it secure and simple to reason about error handling and propagation. It is also used to work with distributed platforms such as Play Framework and Akka. And in Analytics Scala is an ideal language to write MapReduce programs.
In the world of Software development, Scala is considered generally a high-level language and has a reputation for being too complex for newcomers to the developer world. Currently standing at 12th place of the most demanded languages globally, Its inception was mainly aimed at overcoming the shortcomings of the Java language, with fewer restrictions and less tedious. The result of this is a cleaner and well-organized language with ease of use making it one of the more sought-after languages that organizations look for in developers.
Scala is one of the most consistent and coherent languages in the Industry. By learning Scala you gain access to a whole new set of tools to work with such as IntelliJ, eclipse, sbt, scoverage, etc. With a growing need for Scala developers and with very few actually making the shift to learn Scala. It still remains a desirable skill set to have with Scala developers fetching an average salary of $110k+
For any Language developers they must decide on how to deal with changes in successive generations of code and a language that stagnates is not destined for the long term. But Scala has set itself apart by planning ahead of time on successive versions of its code with different compatibility and characteristics. A noteworthy thing about Scala developers is that they have worked on the various criticisms of the language and even if they cannot secure a Scala job, they will be well-armed with a much better understanding of programming compared to what they get to learn from just Java.
Scala as a programming language can cater to a vast majority of tasks and bridges the gap between functional and oriented languages.
It specializes in Large analytics (Spark), Machine learning engines, Web applications and APIs with Play2, Data Streaming with AKKA and KAFKA, AWS Lambda functions, etc.
The most prominent reason for using Scala in the Big Data environment is the cause of its concurrency support, which is vital to parallelizing the processing of large data sets. In the Hadoop ecosystem such as Spark and Apache Kafka, it’s the most preferred language to work with rivaling even established languages such as Java and Python.
Scala is the more widely used language when it comes to Apache Spark Spark which is an extension for Hadoop that performs tasks such like batch processing as well as real-time processing. And for every aspiring Data Science Engineer who is involved in gathering the data, storing it, and performing batch or real-time processing of data and optimizing it as an API Scala comes in very handy.
Scala is developed as an Object-Oriented and functional programming language and when coding with Scala it’s similar to other scripting languages and Apache Spark is written in Scala. Although it is not mandatory to learn Scala to work with Spark being familiar with it does help in debugging, and contribute to Spark.
Before taking up Scala, having sound knowledge of programming concepts is essential. Although contrary to popular belief Java is not necessary to learn Scala but it does help to know basic JVM properties which are helpful for example type erasure, how classes work etc.
The best way to learn Scala is through practice, to do this one must start writing in Scala. There are also tons of books that one can refer to before doing this such as “Programming in Scala” by Bill Venners and Martin Odersk or “Functional Programming in Scala” by Paul Chiusano and Runar Bjarnason. You can enroll for Scala training with a live instructor who’ll be providing a hands-on approach and training you can enroll yourself for it here.
Any registration canceled within 48 hours of the initial registration will be refunded in FULL (please note that all cancellations will incur a 5% deduction in the refunded amount due to transactional costs applicable while refunding). Refunds will be processed within 30 days of receipt of the written request for refund. Kindly go through our Refund Policy for more details: http://www.knowledgehut.com/refund
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