Best Courses to become a Scala Developer

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Confused about the millions of career options available in the IT sector?

Fret not. We have got you covered.

After doing a comparative analysis, we realized that majority of students and early professionals are clueless about their career choices and decisions. They either choose something because of peer pressure or just because some acquaintance advised them to pick it.

Among the countless career opportunities that are available in the market, one lucrative and promising career choice is becoming a Scala Developer.

Salary of a Scala Developer

On an average, a Scala developer makes around $175,500 per annum. Now, that's a significantly large amount. Scala developers mainly work with frameworks like Spark and Big-Data related technologies.

Thus, if you choose to become a Scala developer, then a stable career growth and hefty pay package will be there for you!

Understanding Scala

Scala--Scalable Language, is a multi-paradigm modern programming language. It enables you to express complicated programming constructs easily with a simple and elegant syntax. Martin Odersky created Scala. The first version of the language was released in the year 2003.

Scala helps you to seamlessly integrate the objected-oriented programming with functional programming. Scala is a Java-based programming language. So, if you are familiar with Java (or any other object-oriented language), then learning Scala would not be difficult for you.

Some advantages of Scala are:

• External Librarirs
• Compile
• Concise
• Error-Free
• Readabile
• Concurrent

If you are planning to learn Scala, then you can expect a decent payout. But, finding the best resources to learn the programming language can be a challenge.

We have curated a list of best Scala courses that provide you a roadmap for building your career in the domain from scratch. You can take these courses online as per your convenience.

1. Scala & Functional Programming for Beginners

Become a Scala programmer and get the skills you need to work with Spark, Akka, and any Scala framework!

Course rating: 4.6 out of 5.0 ( 5,489 Ratings total)

In this course, you will :

• Understand Scala code in production environments or open-source projects

• Think code differently with functional programming

• Write applications in Scala from scratch

• Contribute to products and open-source projects written in Scala

• Learn skills to start developing with powerful tools on top of Scala: Spark, Akka, Play

• Deconstruct Scala - which is otherwise hard to learn - into the critical pieces you need

• Select the most important Scala concepts and separate them into what is simple but critical and what is powerful

• Sequence the ideas in a way that "clicks" and makes sense throughout the process of learning

• Apply everything in live Scala code

You can take Scala & Functional Programming for Beginners Certificate Course on Udemy.

2. Learn Apache Spark 3 with Scala: Hands On with Big Data!

Dive right in with 20+ hands-on examples of analyzing large data sets with Apache Spark, on your desktop or Hadoop!

Course rating: 4.5 out of 5.0 ( 11,612 Ratings total)

In this course, you will :

• Frame big data analysis problems as Apache Spark scripts

• Develop distributed code using the Scala programming language

• Optimize Spark jobs through partitioning, caching, and other techniques

• Build, deploy, and run Spark scripts on Hadoop clusters

• Process continual streams of data with Spark Streaming

• Transform structured data using SparkSQL and DataFrames

• Traverse and analyze graph structures using GraphX

• Learn the concepts of Spark's Resilient Distributed Datastores

• Get a crash course in the Scala programming language

• Develop and run Spark jobs quickly using Scala

• Translate complex analysis problems into iterative or multi-stage Spark scripts

• Scale up to larger data sets using Amazon's Elastic MapReduce service

• Understand how Hadoop YARN distributes Spark across computing clusters

• Practice using other Spark technologies, like Spark SQL, DataFrames, DataSets, Spark Streaming, and GraphX

You can take Learn Apache Spark 3 with Scala: Hands On with Big Data! Certificate Course on Udemy.

3. Scala and Spark for Big Data and Machine Learning

Learn the latest Big Data technology - Spark and Scala, including Spark 2.0 DataFrames!

Course rating: 4.5 out of 5.0 ( 4,322 Ratings total)

In this course, you will :

• Use Scala for Programming

• Use Spark 2.0 DataFrames to read and manipulate data

• Use Spark to Process Large Datasets

• Understand how to use Spark on AWS and DataBricks

• Spark and Big Data Ecosystem Overview

• Use Spark's MLlib for Machine Learning

• Scale-up Spark jobs using Amazon Web Services

• Learn how to use Databrick's Big Data Platform

You can take Scala and Spark for Big Data and Machine Learning Certificate Course on Udemy.

4. Advanced Scala and Functional Programming

For Scala developers: become a top-level Scala programmer so you can rock Spark, Akka, Cats, or any Scala tool!

Course rating: 4.7 out of 5.0 ( 1,236 Ratings total)

In this course, you will :

• Master the Scala language at the level of the best developers

• Master functional programming

• Design and implement complex systems, frameworks, and APIs

• Confidently customize and enhance existing Scala tools

• Think and approach code with maturity and a deep understanding of implications

• Deconstruct advanced Scala concepts into the critical pieces you need

• Selects the most important ideas in Scala and separates them into the critical and nice-to-have

• Sequence ideas in a way that "clicks" and makes sense throughout the process of learning

• Apply everything in live code

You can take the Advanced Scala and Functional Programming Certificate Course on Udemy.

5. Streaming Big Data with Spark Streaming & Scala - Hands On!

Hands-on examples of processing massive streams of data - in real-time, on a cluster - with Apache Spark Streaming.

Course rating: 4.6 out of 5.0 ( 2,712 Ratings total)

In this course, you will :

• Process massive streams of real-time data using Spark Streaming

• Integrate Spark Streaming with data sources, including Kafka, Flume, and Kinesis

• Use Spark 2's Structured Streaming API

• Create Spark applications using the Scala programming language

• Output transformed real-time data to Cassandra or file systems

• Integrate Spark Streaming with Spark SQL to query streaming data in real-time

• Train machine learning models with streaming data, and use those models for real-time predictions

• Ingest Apache access log data and transform streams of it

• Receive real-time streams of Twitter feeds

• Maintain stateful data across a continuous stream of input data

• Query streaming data across sliding windows of time

• Get a crash course in the Scala programming language

• Learn how Apache Spark operates on a cluster

• Set up discretized streams with Spark Streaming and transform them as data is received

• Use structured streaming to stream into data frames in real-time

• Analyze streaming data over sliding windows of time

• Maintain stateful information across streams of data

• Connect Spark Streaming with highly scalable sources of data, including Kafka, Flume, and Kinesis

• Dump streams of data in real-time to NoSQL databases such as Cassandra

• Run SQL queries on streamed data in real-time

• Train machine learning models in real-time with streaming data, and use them to make predictions that keep getting better over time

• Package, deploy, and run self-contained Spark Streaming code to a real Hadoop cluster using Amazon Elastic MapReduce.

You can take Streaming Big Data with Spark Streaming & Scala - Hands On! Certificate Course on Udemy.

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Glad to see, that you have made it till the end. If this article added some value to your learning or if you liked it then like, upvote, and share it in your network. In case you want to explore more, you can take the Free Scala Courses.

In case you liked this article, you can also visit the following posts of mine;

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Also, I would love to hear any feedback and review from you. Please tell me what you liked in the comment section below. Happy Learning!✨