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Apache Spark 3 Programming Databricks Certification Python

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What you’ll 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.

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  • 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.

Requirements

  • This course has been designed for absolute beginners therefore, this course assumes no previous knowledge on Apache Spark.

  • No previous knowledge on Data Engineering is required.

  • A basic knowledge of Python will be helpful but not necessary.

Hello Students,

I welcome you all to this course on Apache Spark 3.0 Programming and Databricks Associate Developer Certification 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.

Who this course is for:

  • Any student who wishes to learn Apache PySpark from ground zero to a professional level will gain benefit from this course.
  • Any student wishing to appear for Databricks Certified Associate Developer for Apache Spark 3.0 certification using Python will also gain benefit from this course.

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.

Apache Spark 3 Programming Databricks Certification Python, Free Tutorials Download

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Author: Ho Quang Dai

I am Ho Quang Dai, from Vietnam – A country that loves peace. I share completely free courses from major academic websites around the world. Hope to bring free knowledge to everyone who can’t afford to buy


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