PySpark Courses and Certifications

EDUCBA Career Certificate

Spark and Python for Big Data with PySpark

109 ratings at Coursera

Build scalable distributed applications with PySpark: predictive modeling and clustering, ETL pipelines, streaming and real-time processing, plus Apache Spark with Scala.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 6 courses

Best Hands-on Big Data Practices with PySpark & Spark Tuning

1542 ratings at Udemy

Semi-Structured (JSON), Structured and Unstructured Data Analysis with Spark and Python & Spark Performance Tuning

• Udemy
• 13 hours 5 minutes
• Self-Paced
• Paid Course

PYSPARK End to End Developer Course (Spark with Python)

1335 ratings at Udemy

Learn PySpark end to end features and functionalities. Course also includes a Python course and HDFS Commands Course.

• Udemy
• 1 day 5 hours 6 minutes
• Self-Paced
• Paid Course

Edureka

Introduction to PySpark

53 ratings at Coursera

Write PySpark code to process large-scale datasets: big data characteristics, Spark architecture with Spark Core and Spark SQL, distributed processing, and real-time data analysis.

• Coursera
• 3 hours 38 minutes
• Self-Paced
• Paid Course

EDUCBA

PySpark & Python: Hands-On Guide to Data Processing

43 ratings at Coursera

Build PySpark applications with Python: work with RDDs, transformations and actions, DataFrame joins, MySQL integration via JDBC, and a Word Count pipeline.

• Coursera
• 2 weeks, 3 hours a week
• Self-Paced
• Paid Course

Coursera

Graduate Admission Prediction with Pyspark ML

34 ratings at Coursera

Build a simple linear regression model with PySpark ML on Google Colab to predict graduate admission chances, cleaning and preparing Kaggle data in Spark dataframes.

• Coursera
• 1 hour 55 minutes
• Self-Paced
• Paid Course

Coursera

Diabetes Prediction With Pyspark MLLIB

22 ratings at Coursera

Build a logistic regression classifier with PySpark MLlib on the Pima Indian Diabetes dataset, setting up PySpark in Google Colab and cleaning data beforehand.

• Coursera
• 1 hour 55 minutes
• Self-Paced
• Paid Course

EDUCBA

PySpark: Apply & Analyze Advanced Data Processing

15 ratings at Coursera

Apply PySpark to advanced analytics: run RFM analysis and K-Means customer segmentation, extract text from images and PDFs with OCR, and build Monte Carlo simulations.

• Coursera
• 3 hours 2 minutes
• Self-Paced
• Paid Course

Coursera

PySpark Foundations: Process, analyze, and summarize data

Set up a PySpark environment and build a Jupyter Notebook that explores, cleans, aggregates, summarizes, and visualizes large HR employee datasets.

• Coursera
• 1 hour 35 minutes
• Self-Paced
• Paid Course

Edureka Career Certificate

PySpark for Data Science

Process large-scale data with PySpark: work with RDDs and DataFrames, query with Spark SQL, build MLlib predictive models, and handle structured streaming and NLP.

• Coursera
• 16 weeks, 5 hours a week
• Self-Paced
• Paid Course
• 3 courses

Edureka

PySpark in Action: Hands-On Data Processing

Process large-scale datasets with PySpark: explore HDFS and Spark architecture, apply RDD transformations and actions, build DataFrames, and run PySpark SQL queries.

• Coursera
• 5 weeks, 3 hours a week
• Self-Paced
• Paid Course

Edureka

Machine Learning with PySpark

Build scalable machine learning models with PySpark MLlib: manipulate large datasets via DataFrame and RDD APIs, then apply classification, regression, K-means clustering, and hyperparameter tuning.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

Edureka

Data Streaming and NLP with PySpark

Build scalable real-time pipelines with PySpark: DStreams, Structured Streaming, Spark NLP for sentiment analysis, performance tuning, and dashboards that communicate streaming insights.

• Coursera
• 5 weeks, 4 hours a week
• Self-Paced
• Paid Course

Learn to process and analyze large datasets with PySpark using RDDs, PySpark SQL, and projects on Wikipedia clickstreams and Common Crawl data.

• Codecademy
• 4 hours
• Self-Paced
• Free Trial Available

PySpark Tutorial

1 rating

Learn PySpark, an interface for Apache Spark in Python. PySpark is often used for large-scale data processing and machine learning.

• freeCodeCamp
• 1-2 hours
• Self-Paced
• Free Video