Get all the skills needed in best apache spark online course from one of the best online course in statistics and data analysis.
This apache spark course online is one of the best apache spark courses in reputable universities that explains all the principles and theories of apache spark in details. In the apache spark course online, you will learn the basics of data analysis and how to apply apache spark principles in your field of study. The online course on apache spark is a perfect online course that students can combine with any college level courses in apache spark.
About this best apache spark online course
Spark is rapidly becoming the compute engine of choice for big data. Spark programs are more concise and often run 10-100 times faster than Hadoop MapReduce jobs. As companies realize this, Spark developers are becoming increasingly valued.
This statistics and data analysis course will teach you the basics of working with Spark and will provide you with the necessary foundation for diving deeper into Spark. You’ll learn about Spark’s architecture and programming model, including commonly used APIs. After completing this course, you’ll be able to write and debug basic Spark applications. This course will also explain how to use Spark’s web user interface (UI), how to recognize common coding errors, and how to proactively prevent errors. The focus of this course will be Spark Core and Spark SQL.
This apache spark online course free covers advanced undergraduate-level material. It requires a programming background and experience with Python (or the ability to learn it quickly). All exercises will use PySpark (the Python API for Spark), but previous experience with Spark or distributed computing is NOT required. Students should take this Python mini-quiz before the course and take this Python mini-course if they need to learn Python or refresh their Python knowledge.
The production of this online course on apache spark would not have been possible without the generous contribution of Databricks
What you’ll learn
- Basic Spark architecture
- Common operations
- How to avoid coding mistakes
- How to debug your Spark program