Big data analysis is lucrative and in-demand expertise. Apache Spark is one of the hottest technologies in big data. Leading employers from firms like Yahoo, Nasa JPL, eBay, and Amazon use Spark to glean insights from massive data sets using the Hadoop cluster. You, too, can learn these technologies from your computer at home. For this, you must enroll in Apache Spark training.
Moreover, Apache Spark presents us with an unparalleled ability to develop cutting-edge applications. It also happens to be one of the most compelling technologies of the last decade, especially in terms of its impact on the big data world.
Experts label Apache Spark as the next-generation processing engine for big data and are becoming a vital tool for data scientists and engineers. Thus, taking an Apache Spark online course is worth the time and money.
This guide will discuss some of the internet’s best online Apache Spark courses. Let us get started and address them below.
Top 14 Apache Spark Online Learning Classes
- Apache Spark with Scala – Hands On with Big Data! – [Udemy]
- Taming Big Data with Apache Spark and Python – Hands On! – [Udemy]
- Scala and Spark for Big Data and Machine Learning – [Udemy]
- Apache Spark 3 – Spark Programming in Python for Beginners – [Udemy]
- Streaming Big Data with Spark Streaming and Scala – Hands On – [Udemy]
- Apache Spark 2.0 with Java -Learn Spark from a Big Data Guru – [Udemy]
- Spark SQL and Spark 3 using Scala Hands-On with Labs – [Udemy]
- Apache Spark (TM) SQL for Data Analysts – Offered by Data Bricks – [Coursera]
- Top Apache Spark Training Courses – [Coursera]
- Apache Spark – [edX]
- Apache Spark Beginners Course – [Simplilearn]
- Apache Spark – [LinkedIn Learning]
- Apache Spark Courses – Offered by Insight – [Udacity]
- Apache Spark Fundamentals – [Pluralsight]
How Did We Select These Apache Spark Classes?
Before we list the Apache Spark online training, there is one disclosure we would like to give. It is imperative to put your faith in us – How did we select these courses?
So, our top programmers and professionals sat down and scouted the web, looking for the best Apache spark online courses. They individually screened about 55 such classes and narrowed down their results to 25 lectures. We made this selection by comparing the lessons in four disciplines:
- What do you learn?
- Instructor’s background and knowledge
- Reviews and ratings
- Do you receive a certification
Next, we presented our top 25 Apache Spark Training to industry pros from different countries worldwide. They offered us their insight and overview of some courses, which helped us compile this list of the 14 best Apache Spark online sessions.
Now, let us discuss them one by one.
Top 14 Apache Spark Online Learning Classes, Courses, and Certifications
1. Apache Spark with Scala – Hands On with Big Data! – [Udemy]
| Rating | 4.6 |
| Who should take this course? | This Apache Spark full course will benefit software engineers hoping to expand their skills. |
| Enrolled | 84,970 students |
| Duration | 9 hours of on-demand video |
| Paid | Yes |
| Certification | Yes |
| Return or refund policy | 30-Day Money-Back Guarantee |
| Instructor | Sundog Education by Frank Kane, Frank Kane, and Sundog Education Team |
| Cons | He skipped some vital parts in this Apache Spark course. |
People with no scripting or programming experience can give it a miss or take an introductory course beforehand.
It is one of the highest-rated Apache Spark online training. You will study everything you must know from an ex-engineer and senior manager from Amazon and IMDb. Spark works well with the Scala programming language.
So, this course comprises a crash course in Scala to help you get on the project quickly. But, if you are well-versed with Python, you can opt for the Python version of the class – Taming Big Data with Apache Spark and Python – Hands On.
In this Apache Spark course, you will master the art of framing data analysis problems with Spark by working on 20 hands-on examples and then Scala them to run on cloud computing services in the course. Once you finish this class, you can run the code, which analyses gigabytes of information in the cloud in just a few minutes.
Learning Outcomes
In this Apache Spark training, you will discover the following:
- Developing distributed codes with Scala programming language
- Transforming structured data with Datasets, DataFrames, and SparkSQL
- Using Spark to analyze movie ratings data and text in a book
- Framing big data analysis problems as Apache Spark scripts
- Optimizing the Spark jobs via caching, positioning, and other techniques
- Building, running and deploying Spark scripts on the Hadoop clusters
- Developing and running Spark jobs with Scala, IntelliJ, and SBT
- This Apache Spark courseteaches you to traverse and analyze the graph structures with GraphX
- Processing continual data streams with Spark Streaming
- Analyzing large chunks of data with Machine Learning on Spark
- Concepts of Spark’s Resilient Distributed Datasets
- Employing million movie ratings to find movies that are similar to each other
- Translating complex analysis problems into iterative or multi-stage Spark scripts
- Scaling to larger data sets with Amazon’s Elastic MapReduce service
- Understanding how Hadoop YARN distributes Spark across computing clusters
- Working with Spark technologies like Spark SQL, DataFrames, Datasets, Spark Streaming, Machine Learning, and GraphX
Prerequisites
For this Apache Spark class, you need:
- Prior programming or scripting experience
- A crash course in Scala
- Understanding of programming fundamentals
- PC Desktop
- Internet connection
- Windows, Linux, or macOS
The software you need for this Apache Spark course is available for free. This class has all the steps to install and download it.
Review Manuel B.
This course is so well put together that you will surf through it absorbing a lot of knowledge on Spark without even realising about it. Awesome!
2. Taming Big Data with Apache Spark and Python – Hands On! – [Udemy]
| Rating | 4.5 |
| Who should take this course? | This Apache Spark online course will benefit:
This Apache Spark online training focuses on Spark from a software development standpoint. The instructor discusses some data mining and machine learning concepts, but that is not the central focus of the class. So, if that is what you hope to learn, it is not the right Apache Spark class. So, anyone who wishes to know how to use Spark to carve up massive extract datasets and extract meaning from them should opt for a different class. In addition, someone who has never written a program before will not benefit from this class. So, you should learn Python before you take this Apache Spark full course. |
| Enrolled | 78,439 students |
| Duration | 7 hours of on-demand video |
| Paid | Yes |
| Certification | Yes |
| Return or refund policy | 30-Day Money-Back Guarantee |
| Instructor | Sundog Education by Frank Kane, Frank Kane, and Sundog Education Team |
| Cons | It is an excellent class. But, in this Apache Spark training, Frank recommends viewers have some programming experience. We believe some here is an understatement. You can make the most of this class only if you are well-versed with Python. |
It is a bestselling Udemy class. It makes you proficient at running code that analyzes gigabytes of information – in the cloud – in a matter of minutes.
It is a fun and engaging Apache Spark course, and you will find some straightforward Spark examples to analyze the text in a book and movie rating data. Once you have fundamental clarity, the professor will take you to the advanced and more complex level.
It is a hands-on Apache Spark class, and you will follow along with the instructor as he analyses, writes, and runs real code on your system and in the cloud with Amazon’s Elastic MapReduce service. You are provided with seven hours of video content in the class with twenty real examples, which are in increasing complexity to their predecessor.
It is a 100% online Apache Spark Full Course. So, you can move at your pace. If you have doubts, you can halt and ask your doubts. The instructor is responsive and will instantly revert to your questions.
Learning Outcomes
In this Apache Spark online course, you will learn the following:
- Using Structured Streaming and DataFrames in Spark 3
- Using the MLLib machine learning library to reply to prevalent data mining questions
- Understanding how Spark Streaming lets your process follow streams of data in real-time
- Framing big data analysis problems as Spark problems
- In this Apache Spark training, you learn to develop and run Spark jobs quickly using Python and pyspark
- Tuning and troubleshooting big jobs running on a cluster
- Sharing information between nodes on a Spark cluster with accumulators and broadcast variables
- Translating complicated analysis problems into iterative or multi-stage Spark scripts
- Using Amazon’s Elastic MapReduce service to run the job on a cluster with Hadoop YARN is another important topic covered in this Apache Spark course
- Running and installing Apache Spark on a cluster or a desktop computer
- Implementing iterative algorithms such as breadth-first-search using Spark
- Employing Spark’s Resilient Distributed Datasets to analyze and process large data sets across several CPUs
- Learning how Spark SQL allows you to work with structured data
- Knowing how the GraphX library helps with network analysis problems
Prerequisites
For this Apache Spark training, you need:
- Access to a personal computer (In this course, the instructor uses Windows, but Linux will work well too)
- Prior scripting or programming experience, preferably Python
Review Simon R.
Very good explanations, covers the gap for me between Python and Spark. I know SQL to an advanced level, so it has been good to leverage that knowledge and apply it to the Spark world that Frank has explained so well. Great course.
3. Scala and Spark for Big Data and Machine Learning – [Udemy]
| Rating | 4.3 |
| Who should take this course? | This Apache Spark online training will benefit:
|
| Enrolled | 29,740 students |
| Duration | 10 hours of on-demand video |
| Paid | Yes |
| Certification | Yes |
| Return or refund policy | 30-Day Money-Back Guarantee |
| Instructor | Jose Portilla |
| Cons | Some elements in this class are dated. |
Spark and Scala are two of the most popular skills in the market today. This Apache Spark training helps you learn them quickly and easily. In this session, you receive full projects, including topics – analyzing financial data or using machine learning to classify eCommerce customer behavior!
In this Apache Spark online course, the instructor will update you on new-age methodologies associated with Spark 2.0 – SparkSQL, Spark DataFrames, and Spark’s MLlib. Once you complete this course, you can confidently include Spark and Scala to your resume.
Learning Outcomes
In this Apache Spark Course, you will discover the following:
- Using Scala for programming
- Utilizing Spark’s MLlib for Machine Learning
- Spark and Big Data Ecosystem Overview
- Employing Spark 2.0 Data Frames to manipulate and read data
- Using Spark to process large datasets
- Knowledge of using Spark on Data Bricks and AWS
Prerequisites
For this Apache Spark full course, you will need:
- Basic Math Skills
- Fluency in the English language
- Basic programming knowledge in some language
Review Miguel E.
Very useful tutorial on everything connected to the spark-scala stack. The course maintains a good pace and the projects are clearly doable with the information that has been presented.
4. Apache Spark 3 – Spark Programming in Python for Beginners – [Udemy]
| Rating | 4.6 |
| Who should take this course? | This Apache Spark training will benefit:
|
| Enrolled | 21,342 students |
| Duration | 6.5 hours of on-demand video |
| Paid | Yes |
| Certification | Yes |
| Return or refund policy | 30-Day Money-Back Guarantee |
| Instructor | Prashant Kumar Pandey and Learning Journal |
| Cons | The instructor should simplify the concepts for the beginners in this Apache Spark online course. |
In this Apache Spark full course, you will develop an understanding of Spark programming and apply your acquired knowledge to developing data engineering solutions. It is an example-driven session. So, you will learn by doing.
Learning Outcomes
In this Apache Spark class, you will discover the following:
- Working with Data Sources and Sinks
- Working with Spark SQL and Data Frames
- Cluster deployment, Managing Application logs, and Unit Testing
- Data processing and data engineering in Spark
- Using PyCharm IDE for Spark debugging and development
- Apache Spark Architecture and Spark Foundation
Prerequisites
For this Apache Spark online course, you need:
- A Recent 64-bit Windows/Mac/Linux Machine with 8 GB RAM
- Programming Knowledge
However, for this Apache Spark training, you do not need any prior Apache Spark or Hadoop knowledge. All of that is in this class.
Review Patrick R.
Excellent. You explanation is so simple to easy to understand. All the concepts were very well explained with examples.
5. Streaming Big Data with Spark Streaming and Scala – Hands on – [Udemy]
| Rating | 4.5 |
| Who should take this course? | This Apache Spark online training will benefit:
|
| Enrolled | 24,987 students |
| Duration | 6.5 hours of on-demand video |
| Paid | Yes |
| Certification | Yes |
| Return or refund policy | 30-Day Money-Back Guarantee |
| Instructor | Sundog Education by Frank Kane, Frank Kane, and Sundog Education Team |
| Cons | Some contents that require detailing are not covered adequately. |
It is a hands-on Udemy class with achievable exercises and activities that help reinforce your learning.
Learning Outcomes
In this Apache Spark training, you will learn the following:
- Processing massive streams of real-time data with Spark Streaming
- Scala fundamentals
- Integrating Spark Streaming with data sources like Kinesis, Flume, and Kafka
- Understanding how Apache Spark operates on a cluster
- Using Spark 2’s Structured Streaming API
- Setting discretized streams with Spark Streaming and transforming them as data is received
- Receiving real-time streams from the Twitter feeds
- Moving data in real-time to NoSQL databases like Cassandra
- Running SQL queries on the streamed data in real-time is also a part of this Apache Spark online training
- Creating Spark applications with the Scala programming language
- Ingesting Apache access log data and transforming the streams of input data
- Query streaming data across sliding windows of time
- Training machine learning models with streaming data and employing the models for real-time predictions
- Integrating Spark Streaming with Spark SQL to query streaming data in real-time
- Output transformed real-time data to Cassandra or file systems
In this Apache Spark class, you will get your hands on real live Twitter data, data used for training machine learning models, and simulated streams of Apache access logs. It is an informative, hands-on session.
Prerequisites
For this Apache Spark course, you need:
- The ability to follow along with examples
- A personal computer
- Windows 10, Linux, or macOS
- Installing the requisite software – The Scala IDE, Spark, and a JDK
- Crash course in the Scala programming language for students new to it
You can take the instructor’s “Taming Big Data with Apache Spark – Hands On!” for an introduction to Spark, but it is not mandatory.
Review Tony C.
I think I have bought all of Frank’s classes on Spark at this point – he is a great teacher and Spark is a fantastic tool to learn in 2022.
6. Apache Spark 2.0 with Java -Learn Spark from a Big Data Guru – [Udemy]
| Rating | 4.5 |
| Who should take this course? | This Apache Spark training will benefit:
|
| Enrolled | 20,672 students |
| Duration | 3.5 hours of on-demand video |
| Paid | Yes |
| Certification | Yes |
| Return or refund policy | 30-Day Money-Back Guarantee |
| Instructor | Tao W., James Lee, and Level Up |
| Cons | It is full of theoretical contents. It can be overwhelming for the learners. |
It is a detailed Apache Spark online training comprising ten hands-on big data examples. So, across the class, you learn by doing. Once you complete the session, you will have ample knowledge about Spark and general big data analysis and manipulation skills.
Learning Outcomes
In this Apache Spark course, you will study the following:
- Overview of the Apache Spark architecture
- Working with Apache Spark’s primary abstraction
- Familiarity with the architecture of Apache Spark.
- Knowledge of the best practices of working with Apache Spark in the field
- Apache Spark training helps in sharing information across different nodes on an Apache Spark Cluster by accumulators and broadcast variables
- Developing Apache Spark 2.0 app with RDD transformations, actions, and Spark SQL
- Advanced methods to optimize and tune Apache Spark jobs by persisting, caching and partitioning RDDs.
- Working with the resilient distributed datasets(RDDs) to analyze and process large data sets
- Analyzing semi-structured and structured data with DataFrames and Datasets
- Developing apps using your Spark SQL understanding
- Scaling the Spark applications on a Hadoop YARN cluster via Amazon’s Elastic MapReduce service.
Prerequisites
For this Apache Spark full course, you require:
- Java 8 experience is recommended but not mandatory.
- Previous Java programming skills
- Computer running on Linux, OSX, or Windows
Review Shib Shankar S.
Excellent Course content to learn about Apache Spark.
7. Spark SQL and Spark 3 using Scala Hands-On with Labs – [Udemy]
| Rating | 4.4 |
| Who should take this course? | This Apache Spark training will benefit:
|
| Enrolled | 19,326 students |
| Duration | 24 hours of on-demand video |
| Paid | Yes |
| Certification | Yes |
| Return or refund policy | 30-Day Money-Back Guarantee |
| Instructor | Durga Viswanatha Raju Gadiraju, Ravindra Nandam, and Perraju Vegiraju |
| Cons | The audio has several intermittent lags in this Apache Spark Class. |
Next, we have a bestselling Udemy course.
Learning Outcomes
In this Apache Spark course, you will discover the following:
- HDFS Commands relevant to validate files and folders in HDFS
- Scala to work on Data Engineering Projects
- Spark Dataframe APIs for solving problems with Dataframe style APIs
- Inner and outer joins with Spark Data Frame APIs
- Familiarity with basic DML or CRUD Operations
- Fundamental DDL knowledge to build and manage tables with Spark SQL
- Building tables with Spark SQL
- Manipulating data with Spark SQL functions through this Apache Spark training gets easier
- Inner and outer joins with Spark SQL
- Advanced Windowing or Analytics Functions to perform ranking and aggregations with Spark SQL
- Using Spark SQL to solve problems with the SQL style syntax
- Fundamental Transformations such as Projection, Filtering, Total as well as Aggregations by Keys using Spark SQL or Spark Dataframe APIs
Prerequisites
For this Apache Spark online training, you require:
- Fundamental programming knowledge
- Self-support lab or ITVersity lab
- Minimum memory required
- 4 GB RAM with access to proper clusters or 16 GB RAM with virtual machines
Review Sudarshana G.
This is an excellent course. Topics were explained in a very easy way which helped me to learn the Big Data concepts.
8. Apache Spark (TM) SQL for Data Analysts – Offered by Data Bricks – [Coursera]
| Rating | 4.5 |
| Who should take this course? | Intermediate-level students with some background in SQL will love this Apache Spark class. |
| Enrolled | 14,415 students |
| Duration | Approx. 14 hours to complete |
| Paid | Yes |
| Certification | Yes |
| Return or refund policy | 14-Day Money-Back Guarantee |
| Instructor | Kate Sullivan |
| Cons | The instructor could improve the quality of the presentation. |
In Big Data Analysis, Apache Spark is one of the top-used technologies. The objective is to help you leverage your current SQL skills and help you work with Spark immediately in this Apache Spark training.
It is an online class with flexible deadlines. So, you can set and reset as per your needs. It is Course 1 of 3 in the Data Science with Databricks for Data Analysts Specialization.
Learning Outcomes
Some things you learn in this Apache Spark online course are:
- Working with Delta Lake, an open-source, highly performant layer, which adds reliability to data lakes
- Ingest, transform, and query data to extract valuable insights
- SQL, Data analysis, and Spark SQL skills
Review AA.
it was amazing to be familiar with Apache Spark SQL thank you for this great course.
9. Top Apache Spark Courses – [Coursera]
Coursera is one of the top platforms to acquire Apache Spark knowledge. They work with top universities and trained professionals who compile and bring top-notch information for you. Most of their paid classes offer a shareable certification. Prices for the sessions are also affordable. You can test the waters before paying for the lessons.
Some of the top Apache Spark training options with Coursera are:
- Introduction to Big Data with Spark and Hadoop – Offered by IBM
- Big Data Specialization – Offered by UC San Diego
- Learn SQL Basics for Data Science Specialization – Offered by University of California, Davis
10. Apache Spark Courses – [edX]
edX is one of the most reputed platforms for anyone interested in top-quality Apache Spark classes. They have multiple offerings, each better than the other. Like Coursera, even edX collaborates with universities and colleges to bring the best-in-class learning experience for you.
They have free classes. But, the free version does not give certification. So, if you seek that, we recommend paying for the course. You can find both self-paced and instructor-led classes. Depending on your schedule, you can make your pick.
Some of the top edX Apache Spark training are:
- Big Data Analytics Using Spark – Offered by UC San Diego
- MicroMasters® Program in Data Science – Offered by UC San Diego
- Big Data, Hadoop, and Spark Basics – Offered by IBM
11. Apache Spark Beginners Course – [Simplilearn]
| Paid/Free | Free |
| Duration | 7 Hours of self-paced video lessons |
| Certification | Yes |
| Access | 90 days |
| Skills you will learn |
|
It is a free Apache Spark course. In this class, you will discover:
- Basics of big data
- Understanding what Apache Spark is
- The architecture of Apache Spark
- Installation of Apache Spark on Windows and Ubuntu
- Important components of Spark
- Spark Streaming, Spark MLlib, and Spark SQL.
12. Apache Spark – [LinkedIn Learning]
Lynda or LinkedIn Learning is a leading platform for free and paid classes. They have top professionals from worldwide offering the lessons. So, you will enjoy your diverse and enlightening learning experience with them. You can find free and paid sessions on LinkedIn. All paid classes come with a certification. They have a vast lineup of courses.
Some of their top Apache Spark online courses include:
13. Spark – Offered by Insight – [Udacity]
| Paid/Free | Free |
| Level | Intermediate |
| Duration | Approx. 10 Hours |
Next, we have a Udacity Apache Spark class that guarantees a rich-learning experience. It is a self-paced class where you learn with top industry professionals.
Learning Outcomes
In this Apache Spark training, you will learn the following:
- How to use Spark to work with big data
- How Spark fits into the big data ecosystem
- Debug and optimize your Spark code when running on a cluster
- Building machine learning models at Scale.
- Knowing how to wrangle and model massive datasets with PySpark
- Employing the Python library for interacting with Spark
- Processing and cleaning datasets to get comfortable with Spark’s SQL and data frame APIs
- Last but not least this Apache Spark course covers Spark’s Machine Learning Library to train machine learning models at scale.
14. Apache Spark Fundamentals – [Pluralsight]
We have arrived at the last listing in this guide. You get a 10-day trial to experience this class. If you like it, you can pay and continue.
What will you learn in this Apache Spark class?
In this Apache Spark training, you will learn:
- Spark from the ground up
- How to use Apache Spark to analyze your big data at lightning-fast speeds
- Handling Fast Data with Apache Spark SQL and Streaming
- Avoiding a few commonly encountered rough edges of Spark
Conclusion
So, these are the top 14 Apache Spark full courses. Even though they are all excellent classes, we have two personal favorites for you:
- For someone with a programming background – Apache Spark with Scala – Hands On with Big Data! – [Udemy]
- For someone with a Python background – Taming Big Data with Apache Spark and Python – Hands On! – [Udemy]
You can rely on our recommendation or individually assess these Apache Spark online training and make your pick. Happy learning!
