Scala and Spark courses provide basic knowledge about big data management and the high-level programming language that combines functional programming and object-oriented programming and which further runs on Java Virtual Machine (JVM) and it operates with the existing Java code and libraries.
LinkedIn lists Big Data Management and Apache Sparks jobs as one of the well-paid jobs in this decade. A Big Data Engineer's average salary is listed to be around INR 10,00,000 lakhs per annum and a Developer for Apache Sparks earns even more. And certification courses offer students an average salary of more than INR 6, 00,000 lakhs/ annum with other incentives and career growth as a major perk.
There are many online certification courses on Scala and Spark courses included by the top educational platforms like Udemy, edX and Simplilearn provide good knowledge and practical experience related to Scala and Spark courses in India. There are also many technical institutes in the major cities like Hyderabad and Bangalore for the Scala and Spark courses.
On the contrary, as Scala and Spark courses are certification courses there are not many privileges in top institutes. However, there is one program at IIT Roorkee for Big data and Spark Certification by EICT which is a very popular course.
1.1 What are Scala and Spark Courses
1.2 Why study Scala and Spark courses
1.3 Who should pursue Scala and Spark Courses?
3.1 Coursera
3.2 edX
3.3 Udemy
- Scala and Spark Courses Specializations
- Scala and Spark Courses Syllabus
- Stream Comparisons
- Top Colleges in India
7.1 Delhi
7.2 Mumbai
7.3 Kolkata
7.4 Chennai
7.5 Bangalore
7.6 Pune
9.1 Top Job Profiles
9.2 Top Recruiters
All about Scala and Spark Courses
Scala and Spark Courses are the primary certification courses for big data management and developing Hadoop for allocation of huge data. Scala and Spark courses mainly help in machine learning.
Various Scala and Spark Courses by online platforms like Udemy, Coursera, and edX include Apache Spark and Scala Certification Training by Simplilearn, Big Data Analysis with Scala and Spark course by Coursera and, Scala and Spark for Big Data and Machine Learning by Udemy.
A candidate with a bachelor's degree or a master's degree with expertise in a programming language is very much eligible to pursue their career in Scala and Spark Courses, further there are many divisions like short-term certificate courses on Scala and Spark courses, full-length courses on Scala and Spark.
What are Scala and Spark Courses?
- Apache Spark is an open-source, unified analytics engine that is normally used for processing Big Data.
- It is considered to be the primary platform for batch processing, in very large-scale SQL, machine learning, and stream processing units which are all done through intuitive and basic built-in modules. However, anything which a programmer uses java for, that can be done using scala instead.
- Scala is ideal for back-end code, scripts, software development, and main web design. Programmers usually promote Scala’s seamless integration of object-oriented features and functional languages.
- As that is the perfect tool for parallel batch processing, using Spark for data analysis, AWS Lambda expressions, and ad hoc scripting with REPL.
- Scala and Spark Course include the teaching of how to use the Apache Spark platform and how to use the programming language of scala.
Why study Scala and Spark Courses?
- Scala is Spark’s programming language and it can be measured on JVM.
- Scala helps implement new features and makes it easy for developers to gain access deeper into Spark’s source code.
- 20 to 25 lines of Java code can be replaced by 1 complex line of Scala code. Big Data users can also use scala for its simplicity. Developers can access Java libraries directly using Scala.
- Programmers can design better applications on JVM with frameworks like Akka, Lift and Play.
- Scala is a statically typed object-oriented programming language, where programmers must specify object types and variables. However, Python is a dynamically typed object-oriented programming language, where no specification is required.
- Python doesn’t support true multi-threading, whereas Scala handles parallelism, and can be easy to use.
- Scala is a static-typed language and can’t change. Whereas, Python is a dynamically typed language. Scala a better choice for high-volume projects because of type safety. The static nature of scala makes it faster for bug and compile-time error detection.
- Scala provides a reasonable balance between performance and productivity. Due to its simplicity, scala can be used by beginners as well. However, its lack of complexity doesn’t diminish its potential for productivity.
Who should Pursue Scala and Spark Courses?
- Data Scientists who want increased access to big data and the newest technology in Apache Spark should learn scala.
- Data Scientists are going to use spark and scala for large-scale projects.
- Spark Developers who want to make a career in the field of big data technology.
- Candidates who want to make big money can learn Spark and Scala.
- Scala and Spark Courses validate the candidate’s professional experience and help with their industry compatibility,
- The course provides insight into the latest advancement in the field.
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As more people become aware of its ease of use, they turn to Scala to provide low-latency solutions. So candidates can find it easier to look for jobs.
Types of Scala and Spark Courses
Scala and Spark courses are usually taught as elective courses with other primary degrees. So, there are no colleges that directly provide these courses. However, a student can pursue online certification courses. There are other degrees students can take like Data Engineering, Data Management, and Artificial Intelligence to add value to the career.
Certificate Courses
| Courses | Platform | Duration | Fees |
|---|---|---|---|
| Big Data Analysis with Scala and Spark | Coursera | 50 Hours | INR 20,560 |
| Apache Spark for Data Engineering and Machine | edX | 3 Weeks | Free |
| Data Science | edX | 10 Months | INR 93,745 |
| Big Data Hadoop and Spark with Scala by Harish Masand | Udemy | 43.5 total hours | INR 8,640 |
| SPARK and Scala - Scalebyte by Veershetty Dagade | Udemy | 5 total hours | INR 1,600 |
| Apache Spark and Scala Certification Training | Simplilearn | 3 Months | INR10,500 |
Top Online Scala and Spark Courses
Coursera
| Courses | Colleges | Duration | Fees |
|---|---|---|---|
| Big Data Analysis with Scala and Spark | École Polytechnique Fédérale de Lausanne | 50 Hours | INR 20,560 |
| Data Manipulation at Scale: Systems and Algorithms | University of Washington | 30 Hours | INR 10,590 |
| Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud | University of Illinois | 20 Hours | INR 8,800 |
| Advanced Machine Learning and Signal Processing | IBM | 30 Hours | INR 10,500 |
| Scalable Machine Learning on Big Data using Apache Spark | IBM | 20 Hours | INR 12,900 |
edX
| Courses | Colleges | Duration | Fees |
|---|---|---|---|
| Apache Spark for Data Engineering and Machine | IBM | 3 Weeks | Free |
| Agile Process, Project, and Program Controls | UMD, USMx | 5 Weeks | Free |
| Product Management | UMD, USMx | 5 Months | INR 66,626 |
| Data Science | UCSanDiegoX MicroMasters® | 10 Months | INR 93,745 |
| Agile Project Management | USMx, UMD | 5-6 Months | INR 66,626 |
Udemy
| Courses | Colleges | Duration | Fees |
|---|---|---|---|
| Big Data Hadoop and Spark with Scala | Harish Masand | 43.5 total hours | Rs. 8,640 |
| SPARK and SCALA - SCALEBYTE | Veershetty Dagade | 5 total hours | Rs. 1,600 |
| Apache Spark with Scala useful for Databricks Certification | Bigdata Engineer | 5.5 total hours | Rs. 1,280 |
| Hands-on, step by step guide to DML operation on MongoDB, Cassandra, and PostgreSQL | Jose Israel Rodrigues Laguna | 6 total hours | Rs. 1,280 |
| Apache Spark Hands-on Specialization for Big Data Analytics | Irfan Elahi | 12 total hours | Rs. 3,800 |
All the above-mentioned data are collected from different sources; the information in the fees section can be different from the actual price as it changes with time.
Scala and Spark Course: Specializations
Given below are some of the specializations taught for Scala and Spark courses:
- Introduction to Apache Spark: This course covers advanced undergraduate-level topics like Basic Spark Architecture, Common Operations, Avoid Coding Mistakes, Debugging your Spark Program, and more.
- Big Data Analysis with Apache Spark: This course teaches using apache spark for performing functions like data analysis, exploring data sets, applying it to log mining, and more.
- Functional Programming Principles in Scala: Functional programming teaches the adoption of Scala as the main programming language for many applications. It teaches functional programming, writes purely functional programs, using recursion, pattern matching, and higher-order functions, combine functional programming with objects and classes, design immutable data structures, properties of functions, and generic types for functional programs.
-
Big Data Analysis with Scala and Spark: In this course, they teach to use Spark in the data parallel paradigm. The course teaches to read data from storage and load it into Apache Spark. It shows to manipulate data using Spark and Scala and to recognize how to avoid shuffles and recomputation in Spark, and more.
Scala and Spark Courses: Syllabus
The syllabus of both Scala and Spark courses are illustrated
Scala Courses Syllabus
Given below are some topics taught for Scala courses
| Introduction to Scala Preview | Pattern Matching Executing the Scala |
| Code Preview | Classes Concept in Scala |
| Case Classes and Pattern MatchingPreview | Concepts of Traits with Example |
| Scala–Java Interoperability Preview | Scala Collections |
| Mutable Collections Vs. Immutable Collections Preview | Use Case Bobs Rockets Package |
Spark Courses Syllabus
Given below are some topics taught for Spark courses
| Introduction to SparkPreview | Spark Basics |
| Working with RDDs in SparkPreview | Aggregating Data with Pair RDDs |
| Writing and Deploying Spark Applications Preview | Parallel Processing |
| Spark RDD Persistence Preview | Spark MLlib |
| Integrating Apache Flume and Apache Kafka Preview | Spark Streaming |
| Improving Spark Performance Preview | Spark SQL and Data Frames |
| Scheduling/Partitioning Preview | - |
Stream Comparisons
Given below are the comparisons of different specializations of Scala and Spark courses.
| Parameters | Big Data Analysis with Scala and Spark | Apache Spark for Data Engineering and Machine |
|---|---|---|
| Average Salary | INR 6,00,000 | INR 5,00,000 |
| Skills Required | Python, Big Data, ETL, Cloud, Java, Scala, Kafka, Data Analysis, etc | Python, Big Data, ETL, Cloud, Java, Scala, Kafka, Data Analysis, etc |
| Career Growth | Big Data Engineer, Developer | Big Data Developer |
Scala and Spark Courses: Top Colleges in India
Scala and Spark Course is basically a certification program and usually, there are no full-time undergraduate or master’s courses available directly in the respective stream. However, there are major courses like Data Science Management, Artificial Intelligence Engineering, and so on. So, the table below shows the top colleges in India which offer the courses mentioned above are as follows:
Delhi
| Top Colleges | Course | Fees |
|---|---|---|
| Miranda House | Certificate in Data Analytics | INR 10,000 |
| Amity University | BBA Business Intelligence & Data Science | INR 13 lakhs |
Mumbai
| Top Colleges | Course | Fees |
|---|---|---|
| TISS | MA Data Analytics | INR 2 lakhs |
| SPJIMR | Post Graduate Program Analytics | INR 7 lakhs |
| NMIMS | BTech/BSc/MTech Data Science, MTech Artificial Intelligence, MBA Business Analytics | INR 12 lakhs |
Kolkata
| Top Colleges | Course | Fees |
|---|---|---|
| Amity University | BSc Data Science, BTech Artificial Intelligence | INR 9 lakhs |
| Techno International | BTech Artificial Intelligence & Machine Learning, BSc Data Science | INR 4 lakhs |
| Calcutta Business School | PGDM Analytics | INR 7 lakhs |
Chennai
| Top Colleges | Course | Fees |
|---|---|---|
| IIT Madras | MBA Systems and IT, BSc/ Diploma/ Certificate Data Science | INR 2 lakhs |
| VIT | BTech Artificial Intelligence & Machine Learning, MTech Big Data Analytics, MSc Data Science | INR 8 lakhs |
| SRM University | BTech Data Science, Big Data Analytics, MTech Big Data Analytics | INR 6 lakhs |
Bangalore
| Top Colleges | Course | Fees |
|---|---|---|
| Presidency University | BTech Data Science, Big Data, MTech Data Science | INR 10 lakhs |
| Christ University | MSc Data Analytics, Data Science | INR 6 lakhs |
| XIME | Executive Program & Certificate in Data Science | INR 4 lakhs |
Pune
| Top Colleges | Course | Fees |
|---|---|---|
| Symbiosis Skills and Professional University | BSc/MSc Data Science, Post Graduate Diploma in Data Science & Artificial Intelligence | INR 5 lakhs |
| MIT | MSc/MTech Data Science and Analytics | INR 3 lakhs |
Skills Required for Scala and Spark Courses
Given below are some skills required for Scala and Spark Courses.
| Big Data | Python |
| ETL | Cloud |
| Data Analysis | Java |
| Kafka | Scala |
Scope of Scala and Spark Courses
Artificial intelligence is taking over normal human work. The job opportunity for data engineers and developers is very high. So, to get recruited in top companies and firms one needs to be an expert in programming language and with more certifications the better the resume. Scala and Spark is undoubtedly the best certification course to be known so far for getting recruited in the big data sector.
Top Job Profiles
| Job Position | Job Description |
|---|---|
| Big Data Architect | Big Data Architects are responsible for planning and designing big data systems. They use machine learning, pattern recognition and more to handle and build data. |
| Big Data Engineer | They specialise in working with data. They develop, test, and maintain data solutions. |
| Big Data Developer | They are responsible for programming, coding and scripting data solutions. |
| Data Scientist | They are data experts who solve analytical and complex problems with their technical skills. |
Top Recruiters
Some top recruiters of graduates of Scala and Spark courses are:
| Amazon | Hewlett Packard Enterprise |
| Accenture | Goldman Sachs |
| Boeing | Tech Mahindra |
| Dell International | Flipkart |
| Infosys | - |
Salary Post Completing Scala and Spark Courses
Given below are salaries to scala and spark course graduates. Depending on the circumstances, experience and area the salaries can vary.
Company-wise Salary
| Particulars | Average Salary |
|---|---|
| Accenture | INR 5,00,000 |
| IBM India | INR 6,00,000 |
| Dell International | INR 5,00,000 |
| Tech Mahindra | INR 4,00,000 |
Gender wise Salary
| Particulars | Average Salary |
|---|---|
| Male | INR 8,00,000 |
| Female | INR 6,00,000 |
City wise Salary
| Particulars | Average Salary |
|---|---|
| Mumbai | INR 15,00,000 |
| Delhi | INR 10,00,000 |
| Banglore | INR 12,00,000 |
| Chennai | INR 9,00,000 |
Experience wise Salary
| Particulars | Average Salary |
|---|---|
| Fresher | INR 3,00,000 |
| 1-5 Years of Industry Experience | INR 5,00,000 |
| 5-10 Years of Industry Experience | INR 8,00,000 |
| 10+ Years of Industry Experience | INR 10,00,000 |
Scala and Spark Courses FAQs
Q. What is the main importance of Apache Spark and Scala certification training?
A: The course particularly will give in-depth understanding and training on how to use Big Data Management practically and also develops the structure of work.
Q. Which is the best Scala course available online?
A: There are a lot of available courses on many platforms. Depending on your prior experience and knowledge, one should choose the course for which it fits onto the individual's experience level and knowledge on the field of work.
Q. Is the certification of scala and spark necessary?
A: No, there is no ground rule to get these certifications. However, Certification for these courses can be an additional benefit to the individual's resume. So, the main thing is knowledge which can be aimed for.
Q. Is Scala a better language than Python?
A: Yes, Scala is much better than python in many circumstances. However, when the project is not too large or requires little management then in that case only python can be a handful as it is faster and easier to use.
Q. Which course one should do for machine learning?
A: edX and Coursera have many good options for pursuing courses in Machine Learning. Please visit the website offering the course for further information.
Q. Which is the best Scala course for programming?
A: There are a lot of options for the Scala Course. However, Udemy has a course for beginners by IBM which is considered one of the best for functional and parallel programming.
Q. Do I need to learn Scala for Spark?
A: Scala is a general programming language and Spark is an object-oriented programming language. Apache Spark is written in Scala. Data Scientists don’t need to master Scala to use Spark, but it is important to learn the basics.
Q. Is Scala harder than Python?
A: In comparison, scala is harder than python. Python has simpler syntax and is preferred for its simple intuitive logic. However, scala is more useful for complex workflows and is ten times faster. Spark is written in Scala so knowing Scala will let you understand and modify what Spark does internally. However, NLP has a preference for Python.
Q. Is Scala useful?
A. Scala is useful if you want to utilize the full potential of Spark. It is important to do innovative machine learning. Scala is fast, moderately easy to use, and provides access to the latest Spark features.
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