What you'll learn

Learn to load data into PySpark dataframes

Learn to wrangle your data to clean, handle nulls & handle duplicates

Learn to create calculated fields, aggregate your data & extract insights

Learn to implement advanced PySpark techniques such as window functions and user-defined functions (UDFs)

Requirements

Some basic Python knowledge is desirable but not entirely necessary

Ready to dive into the fascinating world of Apache Spark (PySpark)? This course is your ticket to unraveling the mysteries of Spark, starting from the ground up and zooming all the way into some seriously cool stuff like window functions and user-defined functions (UDFs).What You'll Discover:Playing with data: Get your hands dirty with Spark SQL and learn how to wield DataFrames like a pro, mastering the art of manipulating, filtering, and crunching data.Next-Level Tricks: Ever heard of window functions or UDFs? We'll guide you through these advanced concepts, empowering you to perform super-smart analytics and craft custom functions for your data.Why This Course Rocks: We're all about making it count! Instead of dragging things out, we're here to give you the essential skills pronto. We believe that having the core knowledge means you can jump right into action. Who's Welcome Here:Data wizards (and those aspiring to be one)Tech enthusiasts hungry for big data actionAnyone itching to explore Spark and take their data skills up a notchHow We Roll:Short and Sweet: Bite-sized modules for quick learning bursts.Hands-On Fun: Dive into real-world examples and projects for that practical edge.What's in Store for You: Once you've completed this ride, you'll be armed with a solid Spark foundation. You'll confidently handle data, wield window functions like a champ, and even create your own custom UDFs. Get ready to tackle real-world data puzzles and unearth meaningful insights from big datasets.Ap