PySpark courses can help you learn data manipulation, distributed computing, and data analysis techniques. You can build skills in working with large datasets, performing transformations, and executing machine learning algorithms. Many courses introduce tools like Apache Spark and its libraries, that support processing big data efficiently and integrating with AI applications.

University of Pittsburgh
Skills you'll gain: Apache Hadoop, Apache Spark, PySpark, Data Pipelines, Distributed Computing, Big Data, Apache Hive, Data Processing, Data Storage Technologies, Data Storage, Scikit Learn (Machine Learning Library), Predictive Modeling, Scalability, Data Management, Data Science, Data Transformation, Information Technology, Data Analysis, Python Programming
Build toward a degree
Intermediate · Course · 1 - 4 Weeks

University of Pittsburgh
Skills you'll gain: Apache Hadoop, Cloud Computing, Apache Spark, Web Services, Cloud Services, Cloud Computing Architecture, Cloud Infrastructure, PySpark, Cloud Applications, Cloud Platforms, Data Pipelines, Google Cloud Platform, Distributed Computing, Data Processing, Cloud Storage, Docker (Software), Virtualization, Containerization, Restful API, Data Architecture
Build toward a degree
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: PySpark, Apache Spark, Apache Hadoop, Data Pipelines, Big Data, Data Storage Technologies, Data Processing, Distributed Computing, Data Analysis Expressions (DAX), Data Storage, Data Transformation, SQL, Data Manipulation, Performance Tuning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Databricks, Apache Spark, Microsoft Azure, Data Integration, PySpark, Data Lakes, Jupyter, File Systems, Data Processing, Big Data, Cloud Storage, Cloud Computing Architecture
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Data Preprocessing, Exploratory Data Analysis, Feature Engineering, Model Deployment, Data Analysis, PySpark, Data Import/Export, Data Transformation, Apache Spark, Decision Tree Learning, Customer Analysis, Predictive Modeling, Predictive Analytics, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

Duke University
Skills you'll gain: PySpark, Databricks, Data Pipelines, Apache Spark, MLOps (Machine Learning Operations), Apache Hadoop, Big Data, Data Warehousing, Data Quality, Data Integration, Data Processing, Database Architecture and Administration, DevOps, Distributed Computing, Data Transformation, SQL, Python Programming
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: PySpark, Apache Spark, Data Visualization Software, Data Analysis, Exploratory Data Analysis, Data Cleansing, Data Processing, Data Manipulation, Big Data, Jupyter, Pandas (Python Package), People Analytics
Intermediate · Guided Project · Less Than 2 Hours

Duke University
Skills you'll gain: Data Visualization Software, PySpark, Data Visualization, Data Storytelling, Statistical Visualization, Site Reliability Engineering, Docker (Software), Databricks, Containerization, Interactive Data Visualization, Plot (Graphics), Plotly, Data Pipelines, Matplotlib, Kubernetes, Apache Spark, Apache Hadoop, Big Data, Data Science, Python Programming
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Scala Programming, Data Pipelines, Test Driven Development (TDD), Apache Airflow, Data Lakes, Apache Spark, CI/CD, Apache Kafka, Data Quality, Data Infrastructure, Cloud Engineering, Data Architecture, Performance Tuning, Unit Testing, Data Transformation, Data Processing, Data Validation, Real Time Data, Big Data, Data Integrity
Intermediate · Course · 3 - 6 Months

École Polytechnique Fédérale de Lausanne
Skills you'll gain: Apache Spark, Scala Programming, Distributed Computing, Big Data, Data Manipulation, Data Processing, Performance Tuning, Data Transformation, SQL
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Transformation
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Model Evaluation, PySpark, Apache Spark, Logistic Regression, Predictive Modeling, Applied Machine Learning, Unsupervised Learning, Decision Tree Learning, Predictive Analytics, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Machine Learning Algorithms, Data Pipelines
Mixed · Course · 1 - 4 Weeks