10 Best Pyspark Courses and Certifications Online

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Close up iPhone showing Udemy application and laptop with notebookThere are thousands of online courses and classes that will assist you improve your Pyspark skills and earn your Pyspark certificate.

In this article, our specialists have put together a curated list of the 10 Best of the Best Pyspark courses, tutorials, training programs, classes and certifications that are offered online right now.

We have included just those courses that fulfill our top quality requirements. We have put a great deal of effort and time into gathering these all for you. These courses are suitable for all levels, beginners, intermediate learners, and experts.

Here’s a look at these courses and what they have to offer for you!

10 Best Pyspark Courses and Certifications Online

1. Spark and Python for Big Data with PySpark by Jose Portilla Udemy Course Our Best Pick

“Learn how to use Spark with Python, including Spark Streaming, Machine Learning, Spark 2.0 DataFrames and more!”

As of right now, more than 102934+ people have enrolled in this course and there are over 19204+ reviews.

Course Content
Introduction to Course
Setting up Python with Spark
Databricks Setup
Local VirtualBox Set-up
AWS EC2 PySpark Set-up
AWS EMR Cluster Setup
Python Crash Course
Spark DataFrame Basics
Spark DataFrame Project Exercise
Introduction to Machine Learning with MLlib
Linear Regression
Logistic Regression
Decision Trees and Random Forests
K-means Clustering
Collaborative Filtering for Recommender Systems
Natural Language Processing
Spark Streaming with Python
Bonus

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2. A Crash Course In PySpark by Kieran Keene Udemy Course

Learn all the fundamentals of PySpark

As of right now, more than 7796+ people have enrolled in this course and there are over 626+ reviews.

Course Content
Introduction
A Scenario To Get Us Started
Core Concepts
Challenge
Conclusion

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3. PySpark & AWS: Master Big Data With PySpark and AWS by “AI Sciences, AI Sciences Team” Udemy Course

“Learn how to use Spark, Pyspark AWS, Spark applications, Spark EcoSystem, Hadoop and Mastering PySpark”

As of right now, more than 7413+ people have enrolled in this course and there are over 1036+ reviews.

Course Content
“Introduction
01-Introduction to Hadoop, Spark EcoSystems and Architectures
Spark RDDs
Spark DFs
Collaborative filtering
Spark Streaming
ETL Pipeline
Project – Change Data Capture / Replication On Going”

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4. Apache Spark 3 for Data Engineering & Analytics with Python by David Charles Academy Udemy Course

Learn how to use Python and PySpark 3.0.1 for Data Engineering / Analytics (Databricks) – Beginner to Ninja

As of right now, more than 6064+ people have enrolled in this course and there are over 415+ reviews.

Course Content
Introduction to Spark and Installation
Spark Execution Concepts
RDD Crash Course
Structured API – Spark DataFrame
Introduction to Spark SQL and Databricks

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5. Complete PySpark Developer Course (Spark with Python) by Sibaram Kumar Udemy Course

Learn PySpark in depth with hundreds of Practical examples. Be a complete PySpark Developer. Set up a Hadoop Cluster.

As of right now, more than 4485+ people have enrolled in this course and there are over 535+ reviews.

Course Content
“Introduction To Spark
Resources
Single Node Cluster Installation (Spark 2.x/3.x, Hive, HDFS, PostgreSQL, Docker)
Spark Installation/Set Up Standalone (Windows)
Spark Installation/Set Up Standalone (Unix)
HDFS Course
Python Crash Course
SparkSession
RDD Fundamentals
Create RDD
RDD Operations
Spark Cluster Execution Architecture
RDD Persistence
Shared Variables
Spark SQL
DataFrame Fundamentals
SparkSession Functionalities
Spark DataTypes
DataFrame Rows
DataFrame Columns
DataFrame ETL (Transformations)
DataFrame ETL (Extractions)
Performance & Optimization
Project – Real Time Project Implementation
Bonus Section”

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6. PySpark Essentials for Data Scientists (Big Data + Python) by Layla AI Udemy Course

Learn how to wrangle Big Data for Machine Learning using Python in PySpark taught by an industry expert!

As of right now, more than 4277+ people have enrolled in this course and there are over 631+ reviews.

Course Content
“Course Introduction
Dataframe Essentials: Read, Write, Validate & Explore
Dataframe Essentials: Clean, Manipulate, Join, Aggregate
Introduction to Spark MLlib
Classification in MLlib
Natural Language Processing in MLlib
Regression in MLlib
Clustering in PySpark
Frequent Pattern Mining in MLlib
Spark Structured Streaming
Course Wrap-up”

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7. Data Analysis & Mining in Python & PySpark (2 Courses in 1) by Data Science Guide Udemy Course

“Learn Data Analysis and Mining, Machine Learning, Deep Learning in Python & PySpark”

As of right now, more than 1094+ people have enrolled in this course and there are over 350+ reviews.

Course Content
Introduction to Data Mining & Machine Learning in Python (Course 1)
Setup Programming Environment
Supervised Learning Algorithms
Unsupervised Learning Algorithms
Deep Learning
Introduction to Learn Data Analysis in PySpark (Course 2)
Introduction to PySpark Development Environment
Cleaning and Transformation Data in PySpark
Performing Data Analysis in PySpark
Appendix: Statistics Overview

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8. Apache PySpark Fundamentals by Johnny F. Udemy Course

“Learn PySpark, fundamentals of Apache Spark with Python”

As of right now, more than 1048+ people have enrolled in this course and there are over 188+ reviews.

Course Content
Introduction
Intro to Apache Spark
DataFrames
Functions
Resilient Distributed Datasets
Conclusion

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9. Learning PySpark by Packt Publishing Udemy Course

Building and deploying data-intensive applications at scale using Python and Apache Spark

As of right now, more than 550+ people have enrolled in this course and there are over 166+ reviews.

Course Content
A Brief Primer on PySpark
Resilient Distributed Datasets
Resilient Distributed Datasets and Actions
DataFrames and Transformations
Data Processing with Spark DataFrames

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10. Hands-On PySpark for Big Data Analysis by Packt Publishing Udemy Course

Use PySpark to productionize analytics over Big Data and easily crush messy data at scale

As of right now, more than 486+ people have enrolled in this course and there are over 222+ reviews.

Course Content
Install PySpark and Setup Your Development Environment
Getting Your Big Data into the Spark Environment Using RDDs
Big Data Cleaning and Wrangling with Spark Notebooks
Aggregating and Summarizing Data into Useful Reports
Powerful Exploratory Data Analysis with MLlib
Putting Structure on Your Big Data with SparkSQL

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Here are some frequently asked questions about learning Pyspark

How Long Does It Take to Learn Pyspark?

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Think about these questions: What are you attempting to Learn Pyspark for? Where is your starting point? Are you a novice or do you have experience with Pyspark? How much can you practice? 1 hour daily? 40 hours weekly? Have a look at this course about Pyspark.

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The fastest way to Learn Pyspark is to first get this Pyspark course, then practice whatever you learn whenever you can. Even if its simply 15 minutes a day of practice. Consistency is key.

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