9 Best Apache Spark Courses [2021 OCTOBER] [UPDATED]

best apache spark course class certification training online

20+ Experts have compiled this list of Best Apache Spark Course, Tutorial, Training, Class, and Certification available online for 2021. It includes both paid and free resources to help you learn Apache Spark and these courses are suitable for beginners, intermediate learners as well as experts. For a complete overview, you may also be interested in taking a look at our compilation of data science courses.


9 Best Apache Spark Courses, Certification & Training Online [2021 OCTOBER] [UPDATED]

1. Top Apache Spark Courses (Udemy)

Udemy brings you over 75 certifications and program to enhance your skill in this sought after technology. For beginner level learners there are lessons that cover all the necessary terminology before moving on to the basic concepts and getting hands-on. Some of the best sellers are Scala and Spark for big data and machine learning, Spark and Hadoop certification, and analytics specializations. Choose the course that fits your requirements by using the filtering options available on the website.


Key USPs-

– Learn about the different types of infrastructures and features that can be used for getting meaningful information.

– Acquire invaluable skills that can be useful for setting up your own business or applying to relevant company profiles.

– The instructors are experts in their area and they explain the ideas well and at a good pace.

– A wide variety of examples helps you to get a clearer view of the topics.

– All the resources and study materials of the chosen tutorial can be accessed at a minimal price.


Duration: Self-paced

Rating: 4.5 out of 5

You can Sign up Here 



2. Big Data Analysis with Scala and Spark (Coursera)

This course will show you how the data parallel paradigm can be extended to the distributed case using Spark. Go over the programming model and understand how it differs from other familiar ones. Get hands-on and figure out when important issues related to distribution like latency and network communication should be considered and how they can come in handy to perform more efficiently. By the end of the lectures, you will be able to read data from persistent storage, manipulate it, express algorithms in a functional style. You may also want to take a look at best big data courses.


Key USPs-

– The certification can be taken by anyone with prior experience in Java, C#, C++ or a similar language.

– The complete set of lectures are broken into appropriate sections which makes it easy for the students to follow.

– Recognize how to avoid shuffles and recomputations.

– Learn topics such as reduction operations, distributed key-value pairs among others.

– Pass the graded assessments to earn the certification as well as take the opportunity to apply the knowledge acquired throughout the lessons.

– The flexible deadlines allow you to learn at your own pace.


Duration:  15 hours, 6 hours per week

Rating: 4.7 out of 5

You can Sign up Here



3. Become a Data Scientist by learning Spark (Udacity)

With data becoming increasingly important in our daily life, there is also an increase in the need to make sense of that data for use. Spark is growing popular among data scientists due to its features and the fact that it is open source. In this course, you will learn about Spark and its applications to get data sorted for use in a plethora of industrial applications. With interactive learning concepts taught by industry experts, you will advance through the course and understand methods to use machine learning with spark though libraries and APIs.


Key USPs –

– Learn the basics of Spark and its application

– Interactive tutorials with practice exercises to apply learned concepts

– Troubleshoot and optimize massive datasets for usage

– Learn to integrate Spark with Machine Learning using libraries

– Work as a Data Scientist with reputed organizations


Duration: 10 hours

Rating: 4.4 out of 5

You can Sign up Here



4. Apache Spark 2 with Scala – Hands On with Big Data! (Udemy)

Big data analysis is one of the most valuable skills to have in today’s world. This course is specifically designed to help you learn one of the most famous technology under this area named Apache Spark. You will learn how to extract meaning from massive datasets across a fault-tolerant Hadoop cluster. Master the art of framing data analysis problems as Spark problems through numerous hands-on examples and scale them to run them on cloud computing services. You may also be interested in checking out Hadoop Courses.


Key USPs –

– Learn the concepts of resilient distributed datastores.

– A number of exercises to check your grasp on the concepts cover and overcome your queries.

– Translate complex analysis challenges into multistage or iterative scripts.

– Practice using technologies such as DataFrames, DataSets, GraphX and more.

– 55 Lectures + 2 Articles + Full lifetime access

– Available at affordable pricing on e-learning platform Udemy.


Duration: 7.5 hours

Rating: 4.5 out of 5

You can Sign up Here



5. Taming Big Data with Apache Spark and Python – Hands On! (Udemy)

Frame big data analysis problems as Spark problems and understand how Spark Streaming lets you process data in real time. Work with various machine learning libraries and deal with some of the most commonly asked data mining questions with the help of various technologies.


Key USPs-

– The tutorial is very well designed with relevant scenarios.

– The concepts are followed by examples which make them easier to understand.

– The friendly tone of the study materials creates a great learning experience.

-46 Lectures + 1 Article + 6 Downloadable Resources + Assignments + Full lifetime access

– Available at a nominal rate on Udemy.

Duration: 5 hours

Rating: 4.4 out of 5

You can Sign up Here


Review : Very nice Introduction to Apache Spark . Instructor Kane is very clear and confident.He put all hid experience in making this course. I hope he will upgrade the course with some more example use-cases and Spark Streaming along with GraphX api in Python in future. – Hemanta Baruah



6. Spark and Python for Big Data with PySpark (Udemy)

This program uses both Python and Spark to analyze big data. There are a lot of opportunities to work on projects that mimic real-life scenarios as well as to create a powerful machine learning model with the help of different libraries. Enriched with projects and examples this tutorial is a crowd favorite.

Key USPs-

– Use Spark Streaming to analyze tweets in real time.

– The curriculum is well designed and appropriately divided.

– Create a spam filter using Spark, Natural Language Processing and Python.

– 66 Lectures + 3 Articles + 3 Downloadable Resources + Full lifetime access

– Available at an affordable rate on Udemy.

Duration: 10.5 hours

Rating: 4.5 out of 5

You can Sign up Here


Review : I feel capable of tackling big data projects after completing this course! The projects are very practical and there is a good amount of experience with various real world data sets. Also, Jose is very response to the Q&A forums! I highly suggest this course for anyone seeking to become a data scientist or data engineer! -Mariah Akinbi



7. Apache Spark Training (LinkedIn Learning)

In these tutorials, you will get a thorough understanding of the process and methodologies of using Apache Spark. Choose from the 3 trainings to get the opportunity to explore the various core functionalities and services. If you are new to this area and are wondering how to get started then there are lessons dedicated to helping you to take the first step and understand the career prospects. There are advanced level topics like applications in machine learning and artificial intelligence for individuals with foundational skills.


Key USPs-

– The videos guide you through all the necessary topics beginning from the introductions to the advanced ones as well as the necessary configurations to follow along with the videos.

– The lectures include a detailed explanation of how to get started with the exercises.

– Exercises are available for online practice as well as for download and the classes can be attended online as well as offline with the ‘view offline’ mode.

– Implement the concepts covered in the lectures and improve your resume.

– The training is divided into sections along with relevant chapter quizzes.

– The complete study materials are available for free after the first month of signing up.


Duration: Self-paced

Rating: 4.4 out of 5

You can Sign up Here 



8. Apache Spark Fundamentals (Pluralsight)

In this intermediate level class, you will get started with Spark from scratch starting with its history before delving into the task of creating a Wikipedia analysis application to get a deeper insight into its core API. Following this, you will have the strength to look into more complex APIs. End the lessons by understanding how to avoid a few commonly encountered rough-edged issues in this technology.


Key USPs-

– Learn from some of the best experts in this field.

– Extract data and perform analysis using the different APIs and libraries.

– The examples and demonstration make it easy to follow along.

– The concise lectures get straight to the point and make the journey time efficient.

– Get thorough guidance to go through the installations and necessary configurations.

– The project helps you to understand the topics better as well as enhance your portfolio.

– The study material and videos can be accessed for free for the first ten days after signing up.


Duration: 4 hours 27 minutes

Rating: 4.0 out of 5

You can Sign up Here 



9. Big Data Analytics Using Spark by The University of California (edX)

This instructor-led certification is created by The University of California to help you get an introduction to using large scale data analysis frameworks along with computer architecture and programming abstraction. Post these topics you will understand how to combine methods from statistics and machine learning to perform large scale analysis, identify statistically significant patterns and visualize statistical summaries. With equal emphasis on final assignments, quizzes, and fundamentals this program is a crowd favorite.


Key USPs-

– Learn to identify the computational tradeoffs in a Spark application.

– Perform data loading and cleaning using Spark and Parquet.

– The real-world examples make the lectures much more interesting and clear.

– Perform supervised and unsupervised machine learning on massive datasets using the relevant library.

– Plenty of assignments to practice the concepts covered in the lectures.

– Complete the quizzes, assignments and the final exam to earn the course completion badge.

– The study material and videos can be accessed for free and the certification can be added for an added price.


Duration: 10 weeks, 9 to 12 hours per week

Rating: 4.5 out of 5

You can Sign up Here 



So these were the Best Apache Spark Tutorial, Class, Course, Training & Certification available online. Hope you found what you were looking for. Wish you a Happy Learning!