9 Best Online Apache Spark Courses & Certification of 2023

Learners with so numerous Apache Spark courses find it very difficult to meet their needs. Students often ask if there is an Apache Spark course for each state. The response is YES. Below are popular courses available. Registering for the right course is an important factor in your career progression. In this article, the best Apache Spark courses were selected by experts in 2023.

The main aim is to illustrate the best known courses in every category.

Select one that best suits your needs, based on your preference.

However, let’s look at the best Apache Spark courses on the market.

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

Duration: 7.5 hours

Rating: 4.5 out of 5

Big data analysis is among the most precious skills in the modern world. This curriculum is designed specifically to help you understand one of the best-known technologies in the field of Apache Spark. You will understand how to extract importance via a fault-tolerant Hadoop cluster from huge data sets. Master the art of presenting issues with data analysis as Spark problems with many hands-on examples and scale them to be used by cloud computing providers.

Key Highlights:

• Practice with DataFrames, DataSets, GraphX, and other technologies.
• Read about the principles of distributed robust datastores.
• A variety of activities to test your comprehension of the concepts and to answer your questions.
• Turn complex theoretical problems into multi-stage scripts.
• Accessible on Udemy’s e-learning platform at affordable rates.
• 55 lectures + 2 papers + full access for life.

You can Sign up Here

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

Duration:  15 hours, 6 hours per week

Rating: 4.7 out of 5

This course will teach you how Spark can apply the parallel data model to the distributed case. Go over the model of programming and understand how it is different from other common ones. Get hands-on and find out what important distribution-related issues such as latency and network connectivity should be addressed and how they can come in handy for more efficient results. You should be able to read data from persistent storage by the end of the lectures, modify it, express algorithms in a practical style.

Key Highlights:

• The entire collection of lectures is divided into suitable sections that make it easier for the students to understand.
• Someone with previous experience in Java, C #, C++ or a related language may take the certification.
• Understand topics such as reduction operations, and the distribution of key-value pairs.
• Know how to prevent recomputations and shuffles.
• The flexible timeframes allow you to learn at your own pace.
• Pass the graded tests to obtain the credential and take the opportunity to apply the knowledge learned during the lessons.

You can Sign up Here

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

Duration: 10.5 hours

Rating: 4.5 out of 5

Both Python and Spark are used to analyze massive data. There are several opportunity to expand on projects that represent real life situations and to build a powerful model for machine learning with the aid of various libraries. This tutorial is filled with projects and examples.

Key Highlights:

• The program is well organized and separated.
• To evaluate tweets in real time, using Spark Streaming.
• 66 lectures + 3 articles + 3 resources for download and full access to life.
• Available on Udemy at an affordable rate.
• Build a Spark, Natural Language Processing and Python spam server.

You can Sign up Here

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

Duration: 5 hours

Rating: 4.4 out of 5

Frame big data analysis issues like Spark issues and learn how Spark Streaming helps you to process information in real time. Deal with many machine learning libraries and work with some of the most frequently asked questions about data mining using different technologies.

Key Highlights:

• The friendly tone of the materials creates a wonderful learning experience.
• The tutorial with relevant scenarios is very well designed.
• The definitions are accompanied by examples that promote their interpretation.Available at Udemy for nominal rate.
• 46 Readings + 1 Article + 6 Resources downloadable + Assignments + Full lifetime access

You can Sign up Here

5. Apache Spark Training (LinkedIn Learning – Lynda)

Duration: Self-paced

Rating: 4.4 out of 5

You will get a complete understanding of the mechanism and methods of using Apache Spark in these tutorials. Choose from 3 trainings to discover the various core roles and facilities. If you are new and wondering how you can continue, lessons can help you take the initiative and appreciate the possibilities of your career. There are specialized subjects such as machine learning applications and artificial intelligence for people with specific skills.

Key Highlights:

• The videos direct you through all required topics from introductions to advanced ones as well as the required settings to follow along with the videos.
• Online and download exercises are available and lessons can be attended online or offline using ‘offline view’ mode.
• The lessons include a clear analysis of how the exercises can start.
• After the first month of registration, all study materials are available for free.
• Apply and develop your resume the topics discussed during the lectures.
• The curriculum is divided into parts with the accompanying chapter issues.

You can Sign up Here 

6. Apache Tutorials and Program (Udemy)

Duration: Self-paced

Rating: 4.5 out of 5

Udemy gives you over 75 certificates and courses to develop the skills in this technology you are searching for. There are lessons for beginner students covering all the requisite terminology before moving on to basic concepts and being practical. Scala and Spark are some of the best sellers for big data and machine learning, Spark and Hadoop certification and analytical expertise. Pick the course that suits your needs by using the website’s filtering tools.

Key Highlights:

• The teachers are experts in their profession and describe their theories well and quickly.
• Learn about various forms of infrastructure and functionality to obtain useful knowledge.
• Purchase useful skills that can help you set up your own business or contribute to the appropriate company profiles.
• You are able to access all the tools and study materials of the selected tutorial at a low cost.
• A wide range of examples lets you get a better image of the subjects.

You can Sign up Here 

7. Apache Spark Fundamentals (Pluralsight)

Duration: 4 hours 27 minutes

Rating: 4.0 out of 5

You will begin with Spark from scratch in this intermediary-level class before going into the task of creating a Wikipedia analysis application to gain a deeper insight into the core API. You will then be able to look at more advanced APIs. Finish the lessons with an understanding of how to prevent a few difficult problems in this technology.

Key Highlights:

• Download data and evaluate the different APIs and libraries.
• Learn by some of the world’s best specialists.
• Examples and presentations make following simple.
• Get detailed instructions and configurations through the installations.
• The brief lectures go straight to the point and make the trip time effective.
• The study material and videos can be downloaded for the first ten days after registration for free.
• The project allows you to better understand the subjects and to develop your portfolio.

You can Sign up Here 

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

Duration: 10 hours

Rating: 4.4 out of 5

As data becoming ever more important to the world, there is also a growing need for such data to be used. Spark is becoming increasingly popular with data scientists due to its characteristics and its open source. This course teaches you about Spark and its applications to sort data for use in a variety of industrial applications. You will progress through the course with immersive learning principles taught by industry experts, and learn how to use machine learning with funneling libraries and APIs.

Key Highlights:

• Online guides to apply learned concepts in reality
• Learn the fundamentals and application of Spark
• Learn how to use libraries to combine Spark with computer teaching
• Working with reputable organizations as a data scientist
• Patch and optimize large data sets for use

You can Sign up Here

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

Duration: 10 weeks, 9 to 12 hours per week

Rating: 4.5 out of 5

The University of California created this instructor-led certification to help you learn about the use of large-scale data analysis and computer architecture and programming abstraction frames. You can understand how to integrate statistics and machine learning techniques for large-scale analyzes, statistically relevant patterns are defined and statistic summaries visualized. This program is a favourite crowd with equal focus on final tasks, quizzes and basic issues.

Key Highlights:

• Load and clean data with Spark and Parquet.
• Learn how to identify the trade-offs in a Spark application.
• Several exercises to incorporate the topics addressed by the lectures.
• Examples of the real world make the lessons even more informative and simple.
• Conduct supervised and unsupervised machine learning with the appropriate library on large datasets.
• You can access the study material and videos for free and the certificate will be included at an additional cost.
• Finish the assignments, tasks and the final exam to get the badge.

You can Sign up Here 

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Wrapping Up

This is the list of the 9 Best Online Apache Spark Courses & Certification of 2023. They are popular and loved by many experienced Apache Spark learners. You will find between these courses what you need to learn in order to continue your Apache Spark learning journey.