PySpak is an open-source distributed set of libraries and frameworks used for real-time large-scale data processing. It is Python API for Apache Spark. Udemy features more than 700 courses on PySpark.
The article features the 10 best Udemy PySpark Courses in 2023. As per student ratings and reviews the ‘PySpark Essentials for Data Scientists (Big Data + Python)’ is the best PySpark course on Udemy. More than 5,000 students have enrolled in the course. It has an average rating of 4.7/5 based on over 700 reviews. The ‘Best Hands-on Big Data Practices with PySpark & Spark Tuning’ is another highly rated Udemy PySpark course. It has an average student rating of 4.6/5 based on over 400 reviews.
Udemy is currently offering the top 10 PySpark courses for INR 2,000 – INR 4,000 (click on the join now link to get 90% discount) along with a 30-day money-back guarantee and lifetime access. There are many free Udemy PySpark courses for those who want to check out basic PySpark courses without any certification.
PySpark End to End Developer Course (Spark with Python)
Students will learn about the features and functionalities of PySpark in this course. Various topics related to PySpark like components, RDD, Operations, Transformations, Cluster Execution and more are covered in the course. The course also features a small Python and HDFS course.
- Course Rating: 4.0/5
- Duration: 29 hours 6 minutes
- Fees: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
- Benefits: Certificate of completion, Mobile and TV access, Lifetime access, 35 downloadable resources, 4 articles
Join Now: PySpark End to End Developer Course (Spark with Python)
Learning Outcomes
| PySpark Development Functionalities and Features | Spark SQL Architecture |
| Spark Cluster Execution Architecture | Spark Performance and Optimisation |
| Python | HDFS |
PySpark Essentials for Data Scientists (Big Data + Python)
The course is aimed at data scientists and students aspiring to be data scientists. The course uses real-world data to provide comprehensive training in PySpark. Students will learn about MLib API, building ML models and how PySpark is used in a job. Students will be given literature and coding exercises to practice skills. Students will have knowledge of PySpark essentials after completing the course.
- Course Rating: 4.7/5
- Duration: 17 hours 16 minutes
- Fees: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
- Benefits: Certificate of completion, Mobile and TV access, Lifetime access, 139 downloadable resources, 28 articles
Join Now: PySpark Essentials for Data Scientists (Big Data + Python)
Learning Outcomes
| Python with Big Data on a distributed framework | Spark Structured Streaming for streaming LIVE data from Twitter |
| Natural Language Processing for flagging suspicious job postings | Christmas cooking recipes using Topic Modeling (LDA) |
| Cluster analysis to increase college graduation rates for under-privileged populations | UI to monitor model training with MFLOW |
| Dataframes in Spark with Python | Cross Validation and Hyperparameter Tuning |
| Classification and Regression Techniques | SQL Queries in Spark |
| REAL datasets on consulting projects | App that classifies songs into genres |
| ML to predict optimal cement strength and affecting factors | Gaussian Mixture Modeling (Clustering) for Customer Segmentation |
| k-means clustering algorithm | Spark’s machine learning techniques on distributed Dataframes |
| Frequent Pattern Mining Techniques | Data Wrangling for Natural Language Processing |
Best Hands-on Big Data Practices with PySpark & Spark Tuning
This course deals with providing students with data from academia and industry to develop their PySpark skills. Students will work with Spark RDD, DF and SQL to consider distributed processing challenges like data skewness and spill within big data processing. Other than covering the details, the course also focuses on big data problems. Upon completion of the course, students will be able to use Spark and PySpark easily and will be familiar with big data analytics concepts.
- Course Rating: 4.6/5
- Duration: 13 hours
- Fees: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
- Benefits: Certificate of completion, Mobile and TV access, 38 downloadable resources, 2 articles
Join Now: Best Hands-on Big Data Practices with PySpark & Spark Tuning
Learning Outcomes
| Apache Spark’s framework, execution and programming model | Big Data applications for different types of data |
| Optimisation and performance tuning methods to manage data Skewness and prevent Spill | Lazy evaluations and internal working of Spark |
| Spark setup and configuration via free Cloud-based and a Desktop machine | PySpark practices on different data types |
| Adaptive Query Execution (AQE) to optimise Spark SQL query execution | Spark SQL applications using JDBC |
Complete PySpark & Google Colab Primer For Data Science
Students will learn about the PySpark Big Data ecosystem within the Google CoLab framework. Students will understand the concepts of data reading and cleaning to implementing powerful ML and neural networks algorithms and evaluating their performance using Pyspark. After completing this course students will become efficient in PySpark concepts and will be able to develop machine learning and neural network models using it.
- Course Rating: 4.6/5
- Duration: 4 hours 19 minutes
- Fees: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
- Benefits: Certificate of completion, Mobile and TV access, 1 downloadable resource, 1 article
Join Now: Complete PySpark & Google Colab Primer For Data Science
Learning Outcomes
| Google Colab | PySpark Within the Google Colab Environment |
| Common Statistical Analysis using PySpark | Deep Learning Models Within PySpark |
| PySpark Uses and Functioning | Data Processing Using PySpark |
| Common Machine Learning Techniques | – |
Big Data Analytics with PySpark + Power BI + MongoDB
In this course, students will learn to create big data pipelines using different technologies like PySpark, MLlib, Power BI and MongoDB. Students will train predictive models using earthquake data to predict future earthquakes. Power BI will then be used to analyse the data. Upon completion of the course, students will develop skills in predictive modelling and visualisation.
- Course Rating: 4.6/5
- Duration: 3 hours 54 minutes
- Fees: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
- Benefits: Certificate of completion, Mobile and TV access, Lifetime access, 1 downloadable resource, 1 article
Join Now: Big Data Analytics with PySpark + Power BI + MongoDB
Learning Outcomes
| Power BI Data Visualisation | Data Analysis |
| Big Data and Geospatial Machine Learning | PySpark Programming |
| PySpark Programming | Data Transformation and Manipulation |
| ArcMaps for Geo Mapping | Dashboards |
PySpark Developer – Advanced
The course introduces students to big data and the Hadoop ecosystem. Students will develop skills in Hadoop and analytic concepts in this course. The course also features parallel programming, in-memory computation and Python. Students will be able to perform data analysis efficiently using PySpark after completing this course.
- Course Rating: 4.5/5
- Duration: 1 hour 12 minutes
- Fees: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
- Benefits: Certificate of completion, Mobile and TV access, Lifetime access
Join Now: PySpark Developer – Advanced
Learning Outcomes
| Development, big data, and the Hadoop ecosystem skills | Recency Frequency Monetary segmentation (RFM) |
| Parallel programming and in-memory computation | Monte Carlo Simulation for Text Mining |
A Crash Course in PySpark
This course introduces students to the basics and fundamentals of PySpark. Students will learn to perform different tasks like getting hold of data, handling missing data and cleaning data up, filtering, pivoting and more. Students will develop a base to use Spark on large datasets after completing the course.
- Course Rating: 4.5/5
- Duration: 1 hour 15 minutes
- Fees: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
- Benefits: Certificate of completion, Mobile and TV access, 3 downloadable resources, 1 article
Join Now: A Crash Course in PySpark
Learning Outcomes
| PySpark | Apache Spark |
| Big Data Analytics and Processing | Python |
Spark and Python for Big Data with PySpark
The course focuses on teaching students to use Spark with Python. Students will learn to use Apache Spark to analyse big data sets. Topics covered include Python basics, Spark DataFrames with the latest Spark 2.0 syntax and MLlib Machine Library with the DataFrame syntax and Spark. Spark technologies like Spark SQL, Spark Streaming and advanced models like Gradient Boosted Trees are also covered in the course.
- Course Rating: 4.5/5
- Duration: 10 hours 35 minutes
- Fees: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
- Benefits: Certificate of completion, Mobile and TV access, 4 downloadable resources, 4 articles
Join Now: Spark and Python for Big Data with PySpark
Learning Outcomes
| Analysing Big Data using Spark and Python | Consulting Projects mimicking real world situations |
| Spark with Random Forests for Classification | Spark’s MLlib to create Powerful ML Models |
| AWS EC2 for Big Data Analysis | Linux with a Spark Environment |
| Spark Streaming to Analyse Tweets in Real Time | Spark 2.0 DataFrame Syntax |
| Customer Churn with Logistic Regression | Spark Gradient Boosted Trees |
| DataBricks Platform | AWS Elastic MapReduce Service |
| Spark and Natural Language Processing for Spam Filter | – |
PySpark Project – End to End Real Time Project Implementation
The course teaches students to implement a PySpark real-world project. Students will learn to code in Spark framework and understand topics like the latest technologies, Python, HDFS, creating a data pipeline and more. Upon completion of the course, students will have the skills to apply for PySpark Developer jobs.
- Course Rating: 4.6/5
- Duration: 14 hours 49 minutes
- Fees: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
- Benefits: Certificate of completion, Mobile and TV access, Lifetime access, 121 downloadable resources, 7 articles
Join Now: PySpark Project – End to End Real Time Project Implementation
Learning Outcomes
| End to End PySpark Real Time Project Implementation | PySpark coding framework |
| Spark as a Standalone in Windows | HDFS and Python |
| Business Model and project flow of a USA Healthcare project | Adding Logging configuration in PySpark Project |
| Transfering files to S3 and Azure Blobs | Single Node Cluster at Google Cloud and integrating with Spark |
| Integrating Spark with a Pycharm IDE | Creating a data pipeline |
| Error handling mechanism in PySpark Project | Persisting data in Hive and PostgreSQL for future use |
50 Hours of Big Data, PySpark, AWS, Scala and Scraping
The course is a beginner-friendly introduction to big data handling using Scala and PySpark. The content is simple and easy to follow which helps students in understanding big data concepts. Students will learn to efficiently use PySpark and Scala to handle big datasets in their projects. The course also introduces students to Python, data scraping, data mining and MongoDB. After completing this course, students will be able to implement their own big data projects and will have knowledge about related concepts.
- Course Rating: 4.4/5
- Duration: 54 hours 39 minutes
- Fees: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
- Benefits: Certificate of completion, Mobile and TV access, Lifetime access, 4 articles
Join Now: 50 Hours of Big Data, PySpark, AWS, Scala and Scraping
Learning Outcomes
| Python, Scrapy, Scala, PySpark and MongoDB concepts with examples | Data Scraping and Data Mining with Python |
| Big Data With PySpark and AWS | AI applications |
| Big Data with Scala and Spark | MongoDB for Beginners |
Information Technology Essentials
This Information Systems course is designed for beginners, covering key topics like hardware, binary numbers, software development, database management, cloud computing, security, and future computing.
- Course Rating: 4.5/5
- Duration: 4.5 Hours
- Price: Join now and get up to 90% off the original price
- Benefits: Access on mobile and TV, Certificate of completion, 11 Articles, 21 Downloadable Resources, Assignments
Join Now: Information Technology Essentials
Learning Outcomes
| You will also learn some of the history of computing and some of the emerging technologies. | By the end of the course you will have a solid understanding major information systems concepts |
| In this course you will learn how software is developed, the basic operation of a computer and how networks function | You will also lean the basics of HTML and how websites operate |
VoIP PBX & Call Center on Asterisk 16 Issabel [Master Class]
This course provides an in-depth introduction to Issabel, an open-source IP telephony software based on Asterisk, suitable for beginners and small businesses. It covers telephony concepts, real-world applications, and lab practices, offering valuable VoIP and phone systems knowledge.
- Course Rating: 4.3/5
- Duration: 12.5 Hours
- Price: Join now and get up to 90% off the original price
- Benefits: Access on mobile and TV, Certificate of completion, 9 Articles, 21 Downloadable Resources, Assignments
Join Now: VoIP PBX & Call Center on Asterisk 16 Issabel [Master Class]
Learning Outcomes
| Build the complete IP Phone System using open source platform. | Explore exciting career in Telecom Industry. |
| Feel more confident in managing Issabel Telephony Server. | Offers Open Source IP Telephony services & solutions to your customers. |
Data Modeling and Relational Database Design using ERwin
This course teaches data modeling using ERWIN tool, focusing on definitions, structure, relationships, and integration points. It’s suitable for data modelers, architects, database administrators, ETL developers, DWH/BI professionals, and business analysts.
- Course Rating: 4.4/5
- Duration: 3.5 Hours
- Price: Join now and get up to 90% off the original price
- Benefits: Access on mobile and TV, Certificate of completion, 4 Articles, 8 Downloadable Resources, Assignments
Join Now: Data Modeling and Relational Database Design using ERwin
Learning Outcomes
| Normalize the Entity Relationship Diagram to third Normal form | Develop sound database designs by applying proven data modeling techniques |
| Engineer/Re-engineer the data Models into and from relational database designs | Work with database change requests and maintain existing databases with the help of tools |
Java Web Services
This SOAP and REST web services course is designed for Java developers, JEE developers, and Java students. With over 40,000 students and 3000+ five-star reviews, it covers topics like web service advantages, WSDL, design, implementation, standards, testing, and REST concepts.
- Course Rating: 4.6/5
- Duration: 16.5 Hours
- Price: Join now and get up to 90% off the original price
- Benefits: Access on mobile and TV, Certificate of completion, 5 Articles, 24 Downloadable Resources
Join Now: Java Web Services
Learning Outcomes
| Use Apache CXF, the Popular WS Stack | Understand why web services are so popular |
| Understand the different types of WS Design | Implement Contract First and Code First Web Services |
| Develop a Web Service for Consumer | Master the REST web service concepts and Implementation |
How To Write User Stories That Deliver Real Business Value
This course simplifies user stories for product owners, business analysts, developers, and agile team members, covering structure, importance, communication, role modeling, stakeholder identification, and converting stories into acceptance tests using Gherkin’s GIVEN-WHEN-THEN scenarios.
- Course Rating: 4.6/5
- Duration: 4 Hours
- Price: Join now and get up to 90% off the original price
- Benefits: Access on mobile and TV, Certificate of completion, 1 Article, 1 Downloadable Resource
Join Now: How To Write User Stories That Deliver Real Business Value
Learning Outcomes
| Understand the power of the 3 C’s of a User Story – The Card, the Conversation, the Criteria (or Confirmation). | Reduce time to deliver software by giving developers well-formed, actionable User Stories answering the WHO, WHAT, and WHY of a business need. |
| Identify User Story contributors using User Role Modeling, Persona Development, and Stakeholder Identification techniques. | Minimize miscommunication and misunderstandings by drilling-down User Stories at the RIGHT time and to the RIGHT level of detail. |
| Learn 6 techniques to reduce ambiguity, save time in 3-Amigos Conversations, and allow your Agile Team to deliver solutions that delight end-users | Apply 8 ways to split User Stories, Epics, and Features in Preparation for Imminent Sprints or Releases. |
Docker for the Absolute Beginner – Hands On – DevOps
This Docker beginner course is designed for system administrators, offering lectures, demos, and coding exercises. It provides real-life assignments and is suitable for beginners in DevOps, including system administrators, cloud infrastructure engineers, and developers. It is not affiliated with Docker, Inc.
- Course Rating: 4.6/5
- Duration: 4.5 Hours
- Price: Join now and get up to 90% off the original price
- Benefits: Access on mobile and TV, Certificate of completion, 21 Articles, 1 Downloadable Resource
Join Now: Docker for the Absolute Beginner – Hands On – DevOps
Learning Outcomes
| Beginner level introduction to Docker | Basic Docker Commands with Hands-On Exercises |
| Understand what Docker Compose | Build Application stack using Docker Compose Files with Hands-On Exercises |
Ansible for the Absolute Beginner – Hands-On – DevOps
This course offers a comprehensive introduction to Ansible for beginners in DevOps, covering fundamental concepts and practical exercises, and is suitable for system administrators, cloud infrastructure engineers, and automation engineers.
- Course Rating: 4.5/5
- Duration: 3 Hours
- Price: Join now and get up to 90% off the original price
- Benefits: Access on mobile and TV, Certificate of completion, 17 Articles, 1 Downloadable Resource
Join Now: Ansible for the Absolute Beginner – Hands-On – DevOps
Learning Outcomes
| Beginner level introduction to Ansible | Introduction to YAML and Hands-on Exercises |
| Build Ansible Inventory Files with Hands-on Exercises | Build Ansible Inventory Files with Hands-on Exercises |
Azure DevOps Fundamentals for Beginners
Microsoft Certified Trainer Brian Culp’s “Azure DevOps Fundamentals for Beginners” is a hands-on course for beginners in DevOps concepts, covering Azure Boards, Repos, Pipelines, and Test Plans, ideal for IT professionals and developers.
- Course Rating: 4.5/5
- Duration: 3.5 Hours
- Price: Join now and get up to 90% off the original price
- Benefits: Access on mobile and TV, Certificate of completion, 12 Downloadable Resources
Join Now: Azure DevOps Fundamentals for Beginners
Learning Outcomes
| Create an Azure DevOps organization | Align Azure DevOps work items using Agile, Scrum, or Basic work processes |
| Integrate an Azure DevOps code repository with GitHub | Understand the basic vocabulary of DevOps: what it is and why it matters |
Spring Framework Master Class – Java Spring the Modern Way
The “Spring Framework Master Class – Learn Spring the Modern Way!” course is designed for Java programmers, covering IOC, DI, Application Context, Bean Factory, Spring Boot, AOP, JDBC, and JPA.
- Course Rating: 4.5/5
- Duration: 12.5 Hours
- Price: Join now and get up to 90% off the original price
- Benefits: Access on mobile and TV, Certificate of completion, 1 Downloadable Resource, 14 Articles
Join Now: Spring Framework Master Class – Java Spring the Modern Way
Learning Outcomes
| You will Learn Spring Framework the MODERN WAY – The way Real Projects use it! | You will Become a COMPLETE Spring Developer – With the ability to write Great Unit Tests |
| You will Become the GO TO GUY for Fixing Spring Framework problems in Your Project | You will GO FROM a Total Beginner to an EXPERIENCED Spring Developer |
| You will learn the basics of Eclipse, Maven, JUnit and Mockito | You will develop a basic Web application step by step using JSP Servlets and Spring MVC |
Introduction to Cloud Computing on AWS for Beginners [2023]
The “Introduction to Cloud Computing on AWS for Beginners” course is designed for beginners, providing a comprehensive understanding of cloud computing concepts, including storage, database, networking, virtualization, containers, and cloud architecture.
- Course Rating: 4.5/5
- Duration: 7 Hours
- Price: Join now and get up to 90% off the original price
- Benefits: Access on mobile and TV, Certificate of completion, 2 Articles
Join Now: Introduction to Cloud Computing on AWS for Beginners [2023]
Learning Outcomes
| This course covers fundamental concepts of cloud computing and is designed for absolute beginners | Gain an understanding of the fundamental systems on which the cloud is based, including storage, networking, and compute |
| Develop hands-on skills using core Amazon Web Services (AWS) services | Build knowledge from beginner level to advanced concepts |
Also check these Courses:
Udemy PySpark Courses: FAQs
Ques. What is PySpark?
Ans. PySpark is an open-source Python API used for real-time large-scale data processing. It is built for Apache Spark.
Ques. Who should take Udemy PySpark courses?
Ans. PySpark courses are ideal for individuals who work with big data and its analysis. It generally includes data scientists, data analysts, engineers and students looking to learn more about PySpark.
Ques. Are there any prerequisites before joining Udemy PySpark courses?
Ans. Before opting for Udemy PySpark courses students are advised to have a basic understanding of Python and data analysis. There are also introductory courses which do have any prerequisites and teach students about Python and other basics also.
Ques. What skills do I get after completing Udemy PySpark courses?
Ans. The ability to easily work on big data, RDD and data frames, ML algorithms and Spark SQL are some of the major skills that can be learned from Udemy PySpark courses.
Ques. Name some top Udemy PySpark courses.
Ans. Some of the best Udemy PySpark courses are –
- PYSPARK End to End Developer Course (Spark with Python).
- PySpark Essentials for Data Scientists (Big Data + Python).
- Best Hands-on Big Data Practices with PySpark & Spark Tuning.
- Complete PySpark & Google Colab Primer For Data Science.
- A Crash Course in PySpark.
Ques. What are the benefits of learning PySpark?
Ans. PySpark enhances analysis by facilitating the integration of local and distributed data transformation operations, thereby reducing computing costs and enabling data scientists to avoid downsampling large data sets.
Ques. What are the core components of PySpark?
Ans. Apache Spark comprises five components: Spark Core Engine, Spark SQL, Spark Streaming, MLlib, GraphX, and Spark R, which can be used alongside each other.
Leave feedback about this