PySpark – Apache Spark Programming in Python for beginners
Overview of PySpark – Apache Spark Programming in Python for beginners Course on Udemy
Dive into the world of big data with the PySpark – Apache Spark Programming in Python for beginners course on Udemy, designed to help you master Apache Spark using Python (PySpark) through the free Databricks Community Edition. This beginner-friendly course guides you through building data engineering pipelines with a hands-on, example-driven approach. Perfect for software engineers, data architects, and aspiring data engineers, it simplifies complex Spark concepts for real-world applications.
The course includes 14 hours of on-demand video, 14 downloadable resources, and is taught by Prashant Kumar Pandey, founder of Learning Journal and an experienced data engineering mentor. Enroll today with udemy coupon 25MAY2025 (valid until May 31, 2025—check the offer box below for the discount link!)
What to Expect from the PySpark – Apache Spark Programming in Python for beginners Course
This 14-hour course offers a practical learning experience, blending live coding sessions with clear explanations to ensure beginners can follow along. Prashant Kumar Pandey’s teaching style is engaging and step-by-step, targeting software engineers, data architects, and managers working with Spark teams. No prior knowledge of Apache Spark or Hadoop is required, making it accessible for newcomers to big data.
Key features include hands-on coding examples, real-world data engineering scenarios, and the use of Databricks Community Edition for practical exercises. Hosted on Udemy’s flexible platform, you can learn at your own pace, revisit lessons, and access resources anytime, anywhere.
What You Will Learn in PySpark – Apache Spark Programming in Python for beginners
- Understand Spark architecture and its execution model for efficient data processing.
- Set up and configure a Databricks environment for PySpark development.
- Master Spark DataFrames and Spark SQL for querying and manipulating large datasets.
- Build data engineering pipelines using PySpark with real-world examples.
- Implement unit testing and project configuration for robust Spark applications.
- Explore the Spark programming model, including Spark Sessions and cluster managers.
Why Choose This PySpark – Apache Spark Programming in Python for beginners Course on Udemy
This course stands out due to Prashant Kumar Pandey’s 18+ years of IT experience and his ability to break down complex Spark concepts for beginners. The content is regularly updated to align with Apache Spark 3.x, ensuring relevance in the fast-evolving big data landscape. With 14 hours of video and 14 downloadable resources, it offers immense practical value for aspiring data engineers. The course’s focus on Databricks and hands-on projects makes it ideal for building job-ready skills.
Use udemy coupon 25MAY2025 to get at a discount (see offer box)!
Recommended Courses with Big Data and PySpark Focus
Looking to expand your skills? Check out these related courses:
Master Apache Spark using Spark SQL and PySpark 3
Data Engineering for Beginners: Learn SQL, Python & Spark Best seller
- Data Engineering Essentials using SQL, Python, and PySpark – Master SQL, Python, and Spark for comprehensive data engineering pipelines.
- Spark and Python for Big Data with PySpark – Learn Spark Streaming, Machine Learning, and DataFrames with Python.
- Apache Spark with Scala – Hands On with Big Data! – Dive into Spark using Scala for high-performance big data processing.
Our Review of PySpark – Apache Spark Programming in Python for beginners Course
As website admins, we’re impressed by the course’s clear structure and practical focus. Prashant Kumar Pandey delivers a well-organized curriculum, with live coding sessions that make Spark accessible to beginners while offering depth for professionals. The use of Databricks Community Edition and real-world examples, like building data pipelines, ensures learners gain applicable skills. The course’s emphasis on Spark 3.x and unit testing adds significant value for modern data engineering roles.
Pros:
- Hands-on, example-driven approach with live coding sessions.
- Beginner-friendly with no prior Spark or Hadoop knowledge required.
- Regularly updated content aligned with Apache Spark 3.x.
Cons:
- Some sections may feel technical for absolute beginners without Python experience.
- Limited coverage of advanced topics like Spark Streaming, which requires a separate course.
With udemy coupon 25MAY2025, it’s a steal!
Rating the PySpark – Apache Spark Programming in Python for beginners Course
Content: 9/10 – Comprehensive coverage of Spark fundamentals, DataFrames, and SQL with practical examples.
Delivery: 8.5/10 – Prashant’s clear, engaging style shines, though some sections assume basic Python knowledge.
Value: 9.5/10 – Affordable with udemy coupon 25MAY2025.
Kickstart your big data journey with this hands-on PySpark course—enroll now and build in-demand data engineering skills today
