Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

LinkedIn Learning

Advance Your Data Skills in Apache Spark

via LinkedIn Learning Path

Write review

Overview

Google, IBM & Meta Certificates – 40% Off
One Coursera Plus subscription covers most Professional Certificates on Coursera.
Unlock All Certificates
Please be advised that LinkedIn Learning will retire this learning path on September 28, 2026. In order to receive a certificate of completion, you must complete all courses in the path before that date.

Apache Spark is among the fastest-growing tools in data science, due to its streaming, speed, and scalability. LinkedIn data shows Spark as one of the most sought-after skills in data engineering and data devops; this learning path is an ideal resource for boosting your skills and your resume.
  • Master the fundamental functions of Apache Spark.
  • Use Spark in machine learning applications.

Syllabus

Courses under this program:
Course 1: Apache Spark Essential Training: Big Data Engineering
-This course focuses on building full-fledged solutions that combine Apache Spark with other Big Data tools to create end-to-end data pipelines.

Course 2: Introduction to Spark SQL and DataFrames
-Learn about DataFrames, a widely used data structure in Apache Spark. Discover how to manipulate and analyze distributed data with the DataFrames API and SQL.

Course 3: Azure Spark Databricks Essential Training
-Learn best practices, patterns, and processes for developers and DevOps teams who want to design and implement data processing using Azure Databricks.

Course 4: Architecting Big Data Applications: Batch Mode Application Engineering
-Develop the skills required to architect and manage batch processing applications to generate consistent data-driven results.

Course 5: Big Data Analytics with Hadoop and Apache Spark
-Learn how to leverage Hadoop and Apache Spark to build scalable and optimized data analytics pipelines.

Course 6: PySpark Essential Training: Introduction to Building Data Pipelines
-Get a hands-on introduction to PySpark, including its core concepts, architecture, and techniques for processing and analyzing large-scale data.

Courses

Taught by

Lynn Langit, Ben Sullins, Kumaran Ponnambalam and Dan Sullivan

Reviews

Start your review of Advance Your Data Skills in Apache Spark

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.