Apache Spark 3 Programming | Databricks Certification Python (Udemy.com)
Become zero to hero in Apache PySpark 3.0 programming in a fun and easy way. Fastest way to prepare for Databricks exam.
Created by: Vivek Singh
Last updated July 2021
What you will learn
- This course is for students who are wishing to start their journey towards learning PySpark 3.0 in a fun and easy way from ground zero.
- This course covers topics for Databricks Certified Associate Developer for Apache Spark 3.0 certification using Python therefore, any student who wishes to appear for the certification (using Python) can also subscribe to this course.
How it compares
Against the other 150 rated Udemy courses in Hadoop on CourseDuck:
- Rating4.0 out of 5higher than 18% of them
- Reviews61#130 of 151 by number of reviews
- Length2.6 hoursshorter than 88% of them
- Last updatedJuly 2021earlier than 61% of them
Course Description
Hello Students,
I welcome you all to this course on Apache Spark 3.0 Programming and Databricks Associate Developer Certification 2022 using Python. In this course, you will learn about programming using Apache Spark 3.0 using Python, usually referred as PySpark, along with preparing you for the Databricks certification using Python in a fun and easy way from ground zero.
This course requires zero knowledge on PySpark, and it will take you to an advanced user level of PySpark by the end of this course. We will be only using Python language here, in this course. This course can also be taken by someone who is starting their journey with Apache Spark using Python.
This course focuses on the most important aspects of Apache Spark 3.0 without going into the esoteric side of the Spark framework. Therefore, you will be productive with PySpark with the help of this course in a couple of hours. Additionally, this course covers all the topics required for Databricks certification using Python language.
This course also comes with two bonus projects on Machine learning using PySpark. In those videos, I will talk about how to prepare your data so that it is ready for applying machine learning algorithms along with some hands-on on some machine learning algorithm from the PySpark machine learning framework. I have considered very gentle examples to illustrate the power of PySpark’s machine learning, so it will be very easy to follow along.
This course is ideal if you are an absolute beginner or someone with less than two years of experience with PySpark or if you wish to get certified as a Databricks Certified Associate Developer for Apache Spark 3.0. This course can also be used by experienced professionals to quickly brush up their basics in PySpark.
In terms of hardware requirements, you just need a computer with an internet connection. We will be using a free Databricks cluster to practice the problems here, so you also don't need to worry about any complicated installations. This is also helpful for many professionals because almost always, we do not have admin access to the computer and we cannot install any software on the computer. I will be teaching you how to use Databricks cloud platform for this course.
Instructor Details
- 4.0 Rating
61 Reviews
Vivek Singh
I am a R&D professional with more than six years of professional experience (post PhD) in designing and implementing data intensive machine learning oriented products that align with business/research potential.
I have a PhD in Electronics and Communication Engineering from a premium engineering institute. I have worked with various industries ranging from automotive to chemicals. I have also lead team of Data Scientists while solving real-world data-intensive, machine learning problems.
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Reviews
By BHARGAVI SIMHADRI on 11/2/2025
you don't say how do install Databricks, quickly starts into programming and practice. little explanation not good, Didn't get have little gain knowledge. not sure i have little gai knowledge, good explanation and topics clear average.
By Carol S. Moore on 1/1/2023
This class was my first exposure to the topic so I can't address the content of the class. The speaker seems knowledgable and presented the material in a concise manner sufficient for an introduction. However, production was low-quality: the code font was way too small and closed captions for technical words were incorrect more often than not (e.g., "peace park" for pyspark).
By Venkat Somireddy on 3/7/2022
The instructor knows spark very well. But, Not a single concept is explained in detail. If the objective is to show what spark can do, the course met it's objective. If the objective is to teach basic concepts of spark, this course failed miserably.
By Thomas Willis on 2/12/2022
This is really a intro course (not even a "zero-to hero"). That doesn't make it bad but I don't think it counts as certification prep.
By Jennifer Koenig on 2/2/2022
The presenter is knowledgeable and engaging. You can start as a PySpark beginner in this course and end up intermediate, in the topics of Spark architecture and how it works, and the basic PySpark operations. Everything is run in DataBricks, so you get a small introduction to that too. A perfect amount of information for a few hours of learning.
By Katie Inder on 1/14/2022
Pretty basic, not all concepts were well explained. The demonstration font was too small and too quick with little explanation of syntax in most cases.
By Manjula Ibrahim on 11/28/2021
Notebook walkthroughs are hekplful. Wish the font size is bigger.
By Evangelia on 9/12/2021
The instructor explains everything without paying attention to useless info. He is concise.
By Rich Martin on 9/11/2021
Solid course, good pace. Great course for someone to get started using spark and databricks.
By Matthew Libonati on 8/27/2021
Great content, would be better if you reviewed the closed captions to make sure they are correct - many observed errors.
Quality Score
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Overall Score : 80 / 100






