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 Michigan
Skills you'll gain: Matplotlib, Network Analysis, Social Network Analysis, Feature Engineering, Data Visualization, Pandas (Python Package), Data Visualization Software, Interactive Data Visualization, Model Evaluation, Scientific Visualization, Applied Machine Learning, Supervised Learning, Text Mining, Visualization (Computer Graphics), Data Manipulation, NumPy, Graph Theory, Data Preprocessing, Natural Language Processing, Python Programming
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: PySpark, Apache Spark, Data Pipelines, Data Processing, AI Personalization, Dimensionality Reduction, OpenAI API, Data Manipulation, Pandas (Python Package), Data Transformation, Predictive Modeling, Unsupervised Learning, Applied Machine Learning, Scatter Plots, Embeddings, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Data Preprocessing, Logistic Regression, Data Cleansing, Apache Spark, PySpark, Data Manipulation, Applied Machine Learning, Classification And Regression Tree (CART), Data Science, Machine Learning, Google Cloud Platform, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: NumPy, Plot (Graphics), Pandas (Python Package), Scientific Visualization, Data Manipulation, Scatter Plots, Machine Learning, Data Science, Data Analysis Software, Histogram, Numerical Analysis, Linear Algebra, Probability Distribution, Classification Algorithms, Regression Analysis
Beginner · Course · 1 - 3 Months

Skills you'll gain: Apache Spark, Data Pipelines, PySpark, Real Time Data, Query Languages, Data Transformation, SQL, Data Processing, Data Analysis
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Databricks, Data Governance, Microsoft Azure, Data Lakes, Real Time Data, Data Management, Data Integration, Data Pipelines, Data Quality, User Provisioning, Performance Tuning
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Databricks, Data Lakes, Data Pipelines, Data Integration, Dashboard, PySpark, SQL, Apache Spark, Data Management, Data Transformation, Version Control
Intermediate · Guided Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Apache Spark, Apache Hadoop, Google Cloud Platform, Data Processing, Command-Line Interface, Big Data, Cloud Computing
Beginner · Project · Less Than 2 Hours

Skills you'll gain: Apache Spark, Managed Services, Google Cloud Platform, Big Data, Apache Hadoop, Data Management
Beginner · Project · Less Than 2 Hours

Skills you'll gain: Decision Tree Learning, Data Preprocessing, Data Transformation, Supervised Learning, Feature Engineering, Scikit Learn (Machine Learning Library), Classification Algorithms, Model Evaluation, Pandas (Python Package)
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: PySpark, Feature Engineering, Azure Synapse Analytics, Data Pipelines, Power BI, Apache Spark, Databases, Microsoft Azure, Model Evaluation, Extract, Transform, Load, Data Lakes, Databricks, NoSQL, Deep Learning, Data Visualization Software, SQL Server Integration Services (SSIS), Data Processing, Distributed Computing, Applied Machine Learning, Big Data
Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: Apache Kafka, Data Transformation, Real Time Data, Fraud detection, Data Pipelines, Apache Spark, PySpark, Operational Databases, Performance Tuning, Grafana, Disaster Recovery, Data Architecture, Prometheus (Software), Data Integrity, Data Processing, Data Governance, Scalability, Event-Driven Programming, System Monitoring, Docker (Software)
Intermediate · Specialization · 3 - 6 Months