Are you looking for the Best Coursera Spark Courses & Certifications?… If yes, you are in the right place. I have listed the 9 Best Coursera Spark Courses in this article. So, give a few minutes to this article and find out about the Coursera Apache Spark Courses.
Now, without any further ado, let’s get started-
Best Coursera Spark Courses & Certifications
1. NoSQL, Big Data, and Spark Foundations Specialization
Rating-4.3/5
Provider-IBM
Time to Complete- 4 months (If you spend 3 hours/week)
This is a specialization program and has 3 courses. In the first course, you will learn about NoSQL, Big Data, Spark, and Hadoop, and understand how to work with Apache Spark for Data Engineering and Machine Learning applications.
In the next course, you will learn Apache Spark in detail, SparkSQL, Apache Spark User Interface, etc. The last course will cover Spark Structured Streaming, GraphFrames on Apache Spark, ETL Workloads, SparkML Fundamentals, Classification, and Regression using Apache Spark, etc.
Who Should Enroll?
- Those who are beginners.
Interested to Enroll?
If yes, then check out all details here- NoSQL, Big Data, and Spark Foundations Specialization
2. Distributed Computing with Spark SQL
Rating-4.5/5
Provider-University of California, Davis
Time to Complete-13 hours
This course covers essential concepts of Apache Spark™, a distributed computing framework. In this course, you will learn about Spark’s DataFrame structure, use SQL code on clusters, and optimize performance.
You will also explore data pipelines, accessing different formats and transforming data. The course highlights the benefits of lakehouses, combining data lakes and warehouses using Spark and Delta Lake. Overall, this course provides a practical and comprehensive introduction to Spark’s powerful capabilities.
Who Should Enroll?
- Those who have previous SQL understanding.
Interested to Enroll?
If yes, then check out all details here- Distributed Computing with Spark SQL
3. Apache Spark (TM) SQL for Data Analysts
Rating-4.5/5
Provider-Databricks
Time to Complete-13 hours
The course starts by introducing you to Spark’s capabilities and its user-friendly SQL interface. You’ll explore how to leverage Spark SQL on Databricks, a collaborative platform that enhances your data analysis and exploration experience.
You’ll gain insights into Spark’s architecture and discover techniques to optimize your queries for improved performance. This course covers advanced querying techniques and provides hands-on experience with real-world data analysis scenarios.
You’ll learn about different storage formats and optimization techniques that boost query speed and efficiency. Additionally, the integration of Delta Lake with Spark SQL introduces you to a reliable solution for managing structured data lakes.
Who Should Enroll?
- Those who are already familiar with SQL.
Interested to Enroll?
If yes, then check out all details here- Apache Spark (TM) SQL for Data Analysts
4. Meta Spark Creator AR Certification Prep Specialization
Rating-NA
Provider-Meta
Time to Complete-3 months
In this program, you will learn the fundamentals of AR and how it enriches the real world with digital elements. You will also learn best practices for creating captivating AR content and gain hands-on experience using the Meta Spark platform.
This program helps you to prepare for the Meta Certified Meta Spark Creator Certification exam. With the help of practical exercises and assignments, you will develop the necessary skills to excel in the certification exam and become proficient in utilizing Meta Spark’s features and tools.
Who Should Enroll?
- Those who are beginners.
Interested to Enroll?
If yes, then check out all details here- Meta Spark Creator AR Certification Prep Specialization
5. Data Analysis Using Pyspark
Rating- 4.4/5
Provider-Coursera Project Network
Time to Complete- 1.5 hours
This is a guided project, where you will work with the PySpark module in Python. For this project, you will use an online music service website dataset.
The dataset has two CSV files listening.csv and genre.csv. Overall, this is not a very detailed course and covers the basics of PySpark. You will perform this project on the Google Colab platform.
Who Should Enroll?
- Those who already know Python Programming.
Interested to Enroll?
If yes, then check out the course details here- Data Analysis Using Pyspark
6. Scalable Machine Learning on Big Data using Apache Spark
Rating-3.8/5
Provider-IBM
Time to Complete-6 hours
This course is for Apache Spark for data processing and machine learning. You will gain practical knowledge and skills in applying Apache Spark’s powerful features.
Throughout the course, you will learn Apache Spark internals, data storage solutions, Spark SQL, parallelization, machine learning pipelines, and supervised/unsupervised learning with SparkML.
But this course doesn’t cover advanced concepts only covers the basics of Apache Spark.
Who Should Enroll?
- Those who already have Python, Machine Learning, and basic SQL knowledge.
Interested to Enroll?
If yes, then check out the course details here- Scalable Machine Learning on Big Data using Apache Spark
7. Big Data Analysis with Scala and Spark
Rating-4.6/5
Provider-EPFL
Time to Complete-27 hours
In this course, you will learn the fundamentals of Spark, including pair RDDs and essential operations like reductions and joins. Next, you will explore data partitioning techniques for optimizing performance.
You will also learn Spark SQL, DataFrames, and Datasets, enabling structured data processing and automatic optimizations. Overall, this is a good course to learn about Spark for data analysis and processing tasks.
Who Should Enroll?
- Those who have previous programming knowledge in any language.
Interested to Enroll?
If yes, then check out the course details here- Big Data Analysis with Scala and Spark
8. Data Engineering with MS Azure Synapse Apache Spark Pools
Rating-3.7/5
Provider-Microsoft
Time to Complete-7 hours
In this course, you will get a practical learning experience in handling big data using Apache Spark and Azure Synapse Analytics.
Throughout the course, you will gain a deep understanding of various technologies such as Apache Spark, Azure Databricks, HDInsight, and SQL Pools, and understand how to differentiate and choose the right tools for specific tasks.
Overall, this course provides valuable insights into monitoring and managing data engineering workloads with Apache Spark in Azure Synapse Analytics.
Who Should Enroll?
- Those who already know Python or SQL.
Interested to Enroll?
If yes, then check out the course details here- Data Engineering with MS Azure Synapse Apache Spark Pools
9. Building Machine Learning Pipelines in PySpark MLlib
Rating- 4.3/5
Provider-Coursera Project Manager
Time to Complete- 1.5 hours
In this guided project, you will get a good overview of the basic commands of PySpark. You will also understand how to clean the data and how to choose the best model from the pipeline by using cross-validation and parameter tuning.
But this is not a very detailed course to learn PySpark. This course is good if you want to get hands-on experience.
Who Should Enroll?
- Those who know Python and Machine Learning basics.
Interested to Enroll?
If yes, then check out the course details here- Building Machine Learning Pipelines in PySpark MLlib
And here the list ends. I hope these 9 Best Coursera Spark Courses & Certifications will help you to learn Spark. I would suggest you bookmark this article for future referrals. Now it’s time to wrap up.
Conclusion
In this article, I tried to cover the 9 Best Coursera Spark Courses & Certifications. If you have any doubts or questions, feel free to ask me in the comment section.
And if you know of any of the Best Coursera Spark Courses & Certifications, let me know in the comment section.
All the Best!
Enjoy Learning!
NOTE- Some of the links in the post are Affiliate Links. This means if you click on the link and purchase the course, I will receive an affiliate commission at no extra cost to you😊.
