6 Best Apache Spark Courses and Classes with a Certificate

Finally ready to dive into learning Apache Spark? These are our best 6 Apache Spark online certificates, classes, courses and trainings. The teaching styles definitely differ. Make sure to watch a couple of trailers and previews to find a good fit. Our list of Apache Spark learning resources was curated based on factors like price (free vs paid), instructor, difficulty level, the number of students and duration. Check out the list below.

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The Best Apache Spark Courses in 2021

1. Learn Apache Spark 3 with Scala: Hands On with Big Data!
2. Taming Big Data with Apache Spark and Python – Hands On!
3. Apache Spark 2.0 with Java -Learn Spark from a Big Data Guru
4. Apache Spark Essential Training
5. Apache Spark for Java Developers
6. Apache Spark 2.0 + Python : DO Big Data Analytics & ML

Learn Apache Spark 3 with Scala: Hands On with Big Data!

If you would like to discover Apache Spark, this is a suitable class to start with. You can dive right in the ins and outs of Apache Spark with different hands on examples of how to analyze data sets. You will also receive a certificate of completion after you finish the course.

The Learn Apache Spark 3 with Scala: Hands On with Big Data! course is taught by Sundog Education’s Frank Kane, the founder of Sundog Education and Machine Learning Pro. It’s a highly popular course on Udemy with more than 53,895 students.

Skills you will learn

• Learn the basics of scala, apache spark, spark streaming, and graphx
• Practice with advanced examples of spark programs
• Know how to run sparks as as a cluster
• Use apache spark scripts to frame problems in big data analysis
• Develop skills in scala programming to distribute code
• Create sparksql sructured data, dataframes, and datasets

This is a medium to advanced course, so choose this course if you are a software engineer who wish to improve his knowledge and skills in dig data processing. If you are a beginner, an introductory course will be more suitable.

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Taming Big Data with Apache Spark and Python – Hands On!

The class is designed to help students comprehend the basics of Apache Spark by making use of various hands on examples on how to analyze data sets. You can accomplish this through your computer or via the Hadoop! software. After completing this class, you’ll be able to receive a certificate of completion.

You can find the Taming Big Data with Apache Spark and Python – Hands On! course on Udemy. It’s taught by Sundog Education’s Frank Kane, the founder of Sundog Education and Machine Learning Pro, and currently has 45,620 students registered.

Skills you will learn

• Learn the basic and advanced concepts of apache spark and spark programs
• Install and use spark programs and other related software like hadoop and amazon’s elastic mapreduce service
• Understand how to use spark sql, mllib machine learning library, graphx library, and spark streaming
• Frame problems on big data analysis, use dataframes, and structured

The class is good for individuals who already have prior knowledge about apache spark and computer programming, and who want to expand their knowledge in big data analysis by using the latest technologies and working with machine learning and data mining.

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Apache Spark 2.0 with Java -Learn Spark from a Big Data Guru

If you have a desire in learning Apache Spark, check out this online course. It’s a hands on curriculum that lets you understand how to analyze large data sets with Apache Spark by using almost a dozen examples. Aside from taking your skills to a new level, you will also get a certificate of completion after you finish the course.

The Apache Spark 2.0 with Java -Learn Spark from a Big Data Guru course is taught by Tao W., a software engineer. It’s available on Udemy, and is a very popular course with around 16,950 students enrolled for the class.

Skills you will learn

• Learn the ins and outs of apache spark, rdd, spark architecture and components, spark sql, and other topics
• Analyze large data sets with the use of apache spark’s primary abstraction and rdds
• Create and scale up spark applications by using rdd transformations, spark sql, hadoop, and amazon’s mapreduce service
• Use datasets and dataframes to analyze data and share information across various nodes
• Make use of advanced optimization techniques through partitioning, caching, and persisting rdds to tune apache spark jobs

We believe this is an excellent course for beginners who want to fully understand how the apache spark technology works in the field, as well as those who want to develop spark applications and improve their skills in big data processing.

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Apache Spark Essential Training

This fantastic class helps beginners experience Apache Spark in just a few weeks by getting up to speed with the basics of apache spark. You will learn how to efficiently leverage spark to work with big data. You can expect to know all about spark, data analysis, machine learning, and more.

The Apache Spark Essential Training class is taught on LinkedIn Learning and by Ben Sullins a Hi . It’s a highly in demand online course with more than 37,399 students registered.

Skills you will learn

• Learn the basics of apache spark and data analysis
• Know how to analyze data and run machine learning algorithms
• Use mllib and spark streaming to solve data problems
• Understand how to connect bi tools to a spark program

This course is for you if you are a software developer, research fellow, or an engineer in information and technology who have a bit of prior knowledge about apache spark and machine learning, and wish to expand your horizons by improving your skills on apache spark.

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Apache Spark for Java Developers

In this training class, students will experience to use Apache Spark. You will know how to process big data by using RDDs, sparks SQL, data frames, and machine learning. You will also be able to receive a certificate of completion after finishing the curriculum.

You can find the Apache Spark for Java Developers course on Udemy. It’s taught by Richard Chesterwood, a software developer at VirtualPairProgrammers. It appears to be a popular class with more than 5,939 enrolled students in the series.

Skills you will learn

• Learn the differences between dataframe APIs and RDD
• Define complex jobs in data processing by using functional style java
• Create reports on big data sets by using an SQL style syntax
• Process big data streams with spark and apache kafka
• Understand machine learning algorithms and structured streaming

This course is a good fit for anyone with or without any knowledge about python and scala, but understands how java works and is interested in developing skills on how to effectively use apache spark to process big data.

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Apache Spark 2.0 + Python : DO Big Data Analytics & ML

For those who are looking for an introductory Apache Spark class, this is a suitable choice. It’s project based and packed with hands on practices, so you will learn a lot of real world skills. You will also be eligible for a certificate of completion if you successfully finish the course.

The Apache Spark 2.0 + Python : DO Big Data Analytics & ML course is taught by V2 Maestros, LLC, big data science experts. It’s available on Udemy with around 2,194 students currently enrolled.

Skills you will learn

• Acquire basic knowledge of the fundamentals and architecture of apache spark
• Excecute algorithms for machine learning and data science
• Write scripts for transformations, actions, spark streaming, and spark sql by using spark 2.0 applications
• Use spark 2.0 to solve real world problems on big data
• Practice how to successfully ace apache spark 2.0 interviews

This course is ideal for software professionals, data engineers, and big data architects who want to advance their career by learning how to make use of apache spark and its applications in solving data problems and improving business processes.

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Hopefully, you also fell in love with Apache Spark. These were our favorite Apache Spark courses and resources that offer certifications. Which course did you pick? Let us know in the comments. Thanks for checking out the list!