ZerotoMastery - Fundamentals of Apache Spark and PySpark

Get hands-on with Apache Spark and PySpark by learning how to build scalable, high-performance data pipelines using the DataFrame API, Spark jobs, joins, aggregations, and more.
What you'll learn
Learn the skills and real-world tools used by Data Engineers and become top 10% in your field
Set up Apache Spark and configure your local or cloud environment for big data processing
Write efficient PySpark code to handle, transform, and analyze large-scale datasets
Use DataFrames to manipulate data in a distributed computing environment
Build scalable data pipelines that integrate multiple transformation and aggregation steps
Create a strong foundation for a career in Data Engineering, Data Science, and AI/ML
Apache Spark is a must-know tool for any aspiring Data Engineer or Data Scientist. And PySpark? It's your Python-powered key to unlocking Spark's full potential.
This course is built for learners who want to confidently step into big data. We'll demystify the Spark engine, teach you how to write clean PySpark code, and guide you through building data pipelines that scale.
You'll learn by doing-working with real data, tackling real problems, and building the kind of skills employers actually care about.
If you're looking to make sense of massive datasets, clean and transform data efficiently, and work with tools that power companies like Netflix and Amazon, then this byte-sized course is for you
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