"Learn Apache Spark 3 with Scala: Hands On with Big Data!" is the first name on the list of the best online Apache Spark courses. In 2021, Scala is expected to be one of the most popular programming languages for data science, and it is essential for getting the most out of Spark. You will learn how to optimize spark jobs to make them more resource-efficient in this course. You will also learn how to use Spark's machine learning capabilities to simplify big data processing, making it one of the best Apache Spark courses on Udemy if you'd like to learn more about AI. Following that, you will learn about GraphX and how to use it for graph computations.

Another thing for you to remember is that to follow along in this course, you will need to be familiar with Scala programming. The best part is that there is a Scala crash course available to help you get started. Besides, you will absolutely need a desktop PC and access to the Internet. Although the course is designed for Windows, users who are familiar with MacOS or Linux can use the same tools. Besides, the software required for this course is open source.

This course offers:

• 9 hours on-demand video
• 3 articles
• Full lifetime access
• Access on mobile and TV
• Certificate of completion

Course by: Udemy
Udemy Rating: 4.5/5.0
Enroll here: udemy.com/course/apache-spark-with-scala-hands-on-with-big-data

"Taming Big Data with Apache Spark and Python – Hands On!" is the next name on the list today. Python is another great data science programming language that works well with Apache Spark.

After completing this course, you will be able to process structured data with SparkSQL before moving on to mastering Hadoop's distributed computing functions. You will be an expert at solving network analysis problems when it comes to using the GraphX library. You will also be able to set up a Hadoop cluster and scale it up by adding more nodes. As a result, if you'd like to learn auxiliary technologies such as Hadoop in addition to Spark, this is the best Apache Spark tutorial. However, you will need prior scripting experience to keep up; otherwise, you will find it difficult to keep up. However, the instructor includes a few sections on Python fundamentals so that you can pick it up as you go.

This course offers:

• 7 hours on-demand video
• 3 articles
• 26 downloadable resources
• Full lifetime access
• Access on mobile and TV
• Certificate of completion

Course by: Udemy

Udemy Rating: 4.5/5.0

Enroll here: udemy.com/course/taming-big-data-with-apache-spark-hands-on

"Scala and Spark for Big Data and Machine Learning" from Udemy is the next name on the list of the best online courses to learn Apache Spark. As a result, this is one of the best online Apache Spark courses available online if you want to get the most out of this big data technology. You should be able to manipulate and read data using Spark 2.0 data frames by the end of this course, allowing you to quickly work with large datasets. You will also learn how to integrate Spark with other technologies like DataBricks and AWS to boost its performance.

This course is for anyone who is already proficient in programming and is eager to learn about Big Data technologies or is interested in combining Spark and Scala to perform machine learning on large data sets. To take this class, you may need some basic programming knowledge, and the best Scala courses online are a great way to get started. If you meet the prerequisites, this is an excellent course for learning how advanced Scala programming can help Spark speed up big data processing.

This course offers:

• 10 hours on-demand video
• 12 articles
• 5 downloadable resources
• Full lifetime access
• Access on mobile and TV
• Certificate of completion

Course by: Udemy
Udemy Rating: 4.5/5.0
Enroll here: udemy.com/course/scala-and-spark-for-big-data-and-machine-learning

"Apache Spark Streaming with Python and PySpark" is the fourth name on the list that Toplist would like to introduce to you. You will be able to integrate Spark and Kafka by the end of this training, allowing you to create real-time applications like Twitter with PySpark. As a result, if you want to get into mobile app development, this is the best Apache Spark training. In that case, you should look into the best mobile app development courses available online. You will also gain a thorough understanding of SparkSQL, which will enable you to analyze both semi-structured and structured data.

While you may have to work around some deprecated features because the course uses an older version of Spark, it still covers a lot of big data analytics concepts that are applicable to data science and app development. To ensure that your studies will be great, there are some requirements that you should prepare, including a computer with decent memory and an internet connection, which is required, Python programming skills, and an operating system, like Ubuntu, Mac OS, or Windows.

This course offers:

• 3.5 hours on-demand video
• 6 articles
• 35 downloadable resources
• Full lifetime access
• Access on mobile and TV
• Certificate of completion

Course by: Udemy
Udemy Rating: 4.0/5.0
Enroll here: udemy.com/course/apache-spark-streaming-with-python-and-pyspark

"Streaming Big Data with Spark Streaming and Scala – Hands On" from Udemy is the next name on the list of the best online courses to learn Apache Spark that Toplist has compiled for you.

You will be able to train accurate machine learning forecasting models by the end of this course, making it one of the best Apache Spark courses online for neural network design. You will also be able to create Spark applications such as a real-time social media feed by programming in Scala. On top of that, Spark will be compatible with Apache Kafka, Flume, Cassandra, and Amazon Kinesis. This course is recommended for students who have some prior programming or scripting experience. This course is especially for you if you work for or plan to work for a company that generates "big data" on a regular basis. In addition, students with no prior experience in software engineering or programming should first enroll in an introductory programming course.

This course offers:

• 6.5 hours on-demand video
• 2 articles
• Full lifetime access
• Access on mobile and TV
• Certificate of completion

Course by: Udemy
Udemy Rating: 4.3/5.0
Enroll here: udemy.com/course/taming-big-data-with-spark-streaming-hands-on

"Apache Spark 2.0 with Java -Learn Spark from a Big Data Guru" will be the next name on the list. This course teaches you everything you need to know about developing Spark applications with Java and covers all of the fundamentals of Apache Spark with Java. You will gain in-depth knowledge of Apache Spark as well as general big data analysis and manipulation skills at the end of this course, allowing you to assist your company in adapting Apache Spark for building big data processing pipelines and data analytics applications. This course includes more than ten real-world big data examples. You will learn how to frame data analysis problems as Spark problems, which will be extremely useful.

Anyone interested in learning more about Apache Spark technology and how it is used in the field should enroll in this course. Besides, software engineers who want to use Spark Core and Spark SQL to create Apache Spark 2.0 applications and those who want to advance their careers by honing their big data processing skills, such as data scientists or data engineers, are also suitable for this course.

This course offers:

• 3.5 hours on-demand video
• 15 articles
• 1 downloadable resource
• Full lifetime access
• Access on mobile and TV
• Certificate of completion

Course by: Udemy

Udemy Rating: 4.5/5.0

Enroll here: udemy.com/course/apache-spark-course-with-java

"Apache Spark: Hands-on Specialization for Big Data Analytics" from Udemy is the seventh name on the list of the best online Apache Spark courses that Toplist has compiled for you.

After finishing this program, you will have a solid foundation and a broad skillset for using Spark to perform complex big data processing tasks. Big data is one of the most lucrative career fields, with data engineers earning large sums of money. This course will also assist you greatly in job interviews. This course will be extremely useful if you want to advance your big data career by passing Hadoop certifications such as Cloudera and Hortonworks. Anyone with a desire to learn more about Big Data, specifically Apache Spark; software developers or engineers; professionals in Data Warehousing or Business Intelligence; enthusiasts for data science and machine learning; and big data architects and data engineers should enroll in this course.

This course offers:

• 12 hours on-demand video
• 4 articles
• 6 downloadable resources
• 1 practice test
• Full lifetime access
• Access on mobile and TV
• Certificate of completion

Course by: Udemy
Udemy Rating: 4.0/5.0
Enroll here: udemy.com/course/apache-spark-hands-on-course-big-data-analytics

The next name on the list is "Databricks Fundamentals & Apache Spark Core". This course's main goal is to teach you how to use the DataFrame API and SQL to complete tasks, including writing and running Apache Spark code by using Databricks, reading and writing data from the Databricks File System – DBFS, and explaining how Apache Spark works in a multi-node cluster. Additionally, you will create and join DataFrames using SQL and the DataFrame API.

Big-data, data engineering, and data science have piqued the interest of software developers, beginner data engineers interested in learning how to use databricks, and beginner data scientists interested in learning how to use databricks should enroll in this course. However, if you do not have any basic SQL knowledge, you might want to start by studying some of the best SQL courses available online. It is one of the best Apache Spark courses online if you have the right background and want to learn big data analytics skills using Spark, Databricks, and Scala.

This course offers:

• 12 hours on-demand video
• 5 downloadable resources
• Full lifetime access
• Access on mobile and TV
• Certificate of completion

Course by: Udemy
Udemy Rating: 4.4/5.0
Enroll here: udemy.com/course/databricks-fundamentals-apache-spark-core

"Apache Spark for Java Developers" is the next name on the list that Toplist has compiled for you. Anyone who is already familiar with Java and wants to learn more about Apache Spark, or new to Data Science who wants to get started quickly without having to learn Python, Scala, or R should enroll in this course.

You will learn how to connect Kafka and Spark for real-time big data streaming in this course. This is the best Apache Spark tutorial if you have Java experience but little familiarity with data science programming languages like R, Python, and Scala because you get to define advanced data processing jobs via functional style Java. You will also master SparkML, allowing you to use machine learning models to ease the burden of big data processing. If you want to learn about cluster deployment, you will need an AWS account. However, because this is an optional section, you can skip it or, better yet, create a free AWS account.

This course offers:

• 21.5 hours on-demand video
• 7 articles
• 10 downloadable resources
• Full lifetime access
• Access on mobile and TV
• Certificate of completion

Course by: Udemy
Udemy Rating: 4.6/5.0
Enroll here: udemy.com/course/apache-spark-for-java-developers

"Apache Spark 2.0 + Java: Do Big Data Analytics & ML" from Udemy is the next name that Toplist has compiled for you. It is one of the best online Apache Spark courses if you want to learn how to prepare for a data science interview quickly by solving real-world data problems that include common interview questions.

You will learn about SparkSQL and Spark streaming, as well as how to write Spark 2.0 scripts in Java. You will also learn about the various kinds of machine learning models. Then, in addition to learning how to train your models to avoid overfitting, you will create ML algorithms for regression and classification. Across a few sections of the videos, the volume levels can vary dramatically. However, the audio clarity is excellent in general, so you shouldn't have any trouble keeping up with the training.

This course offers:

• 7.5 hours on-demand video
• 11 articles
• 4 downloadable resources
• Full lifetime access
• Access on mobile and TV
• Certificate of completion

Course by: Udemy
Udemy Rating: 4.5/5.0
Enroll here: udemy.com/course/apache-spark-20-java-do-big-data-analytics-ml