Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
2 Hour(s) 1 Minute(s)
Language
English
Taught by
Kieran Keene
Certificate
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
Course Overview
Accelerate Your Data Skills: Dive into PySpark!
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 action
Anyone itching to explore Spark and take their data skills up a notch
How 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.
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Course Content
- 8 section(s)
- 36 lecture(s)
- Section 1 Introduction
- Section 2 Basics
- Section 3 Case Statements (When)
- Section 4 Window Functions
- Section 5 Filtering Dataframes
- Section 6 UDFs (User Defined Functions)
- Section 7 Working With Datetimes
- Section 8 Wrapping Up
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)
Skills covered in this course
Reviews
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TTomasz Lipowski
Too easy, too less lessons, without hard task to do alone.
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MMichael Garrett
yes
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CChiru
Keene the words you use are so simple and impactful. im clearly understanding what you are saying. thank you Mr.Keene
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SSumitha M
very simple and easy to understand
