PySpark & Python: Hands-On Guide to Data Processing
$49
ENROLL NOWCourse Overview
What You'll Learn
- This beginner-level course is designed to introduce learners to the powerful combination of Python and Apache Spark (PySpark) for distributed data processing and analysis.
- Through structured lessons and real-world examples, learners will recall foundational Python syntax, identify key elements of PySpark, and demonstrate the use of core Spark transformations and actions using Resilient Distributed Datasets (RDDs).
- As the course progresses, learners will apply advanced data handling techniques such as joins and data integration using JDBC with MySQL, and construct scalable data pipelines like word count using transformation chains.
This beginner-level course is designed to introduce learners to the powerful combination of Python and Apache Spark (PySpark) for distributed data processing and analysis. Through structured lessons and real-world examples, learners will recall foundational Python syntax, identify key elements of PySpark, and demonstrate the use of core Spark transformations and actions using Resilient Distributed Datasets (RDDs). As the course progresses, learners will apply advanced data handling techniques such as joins and data integration using JDBC with MySQL, and construct scalable data pipelines like word count using transformation chains. Each module emphasizes a blend of conceptual understanding and practical coding experience, enabling learners to analyze, debug, and evaluate their PySpark applications efficiently. By the end of the course, learners will have gained hands-on proficiency in building distributed data workflows and be prepared to advance toward more complex data engineering and big data analytics challenges.
Course FAQs
Is this an accredited online course?
Accreditation for 'PySpark & Python: Hands-On Guide to Data Processing' is determined by the provider, EDUCBA. For online college courses or degree programs, we strongly recommend you verify the accreditation status directly on the provider's website to ensure it meets your requirements.
Can this course be used for continuing education credits?
Many of the courses listed on our platform are suitable for professional continuing education. However, acceptance for credit varies by state and licensing board. Please confirm with your board and {course.provider} that this specific course qualifies.
How do I enroll in this online school program?
To enroll, click the 'ENROLL NOW' button on this page. You will be taken to the official page for 'PySpark & Python: Hands-On Guide to Data Processing' on the EDUCBA online class platform, where you can complete your registration.
