Enroll now in our PySpark course to gain hands-on experience through live interactive sessions, real-world projects, and expert mentorship. We’ve successfully trained over 500 professionals through this practical, industry-focused learning program.
Prerequisites
- Basic Python Programming
- Basic SQL Knowledge
- Understanding of Data Structures and File Formats
- Basic Understanding of Big Data Concepts
- Command Line Basics
What Will You Learn
- Hadoop Ecosystem Overview
- PySpark vs Apache Spark
- Setting up PySpark (Local and Cloud)
- Lazy Evaluation in Spark
- Introduction to DataFrames, Spark Configurations and Optimization: Creating DataFrames from various sources (CSV, JSON, Parquet)
- Using SQL with DataFrames (Spark SQL)
- Data Cleaning and Preprocessing
- Handling Missing Values and Duplicates
- Aggregations and Window Functions
- ML Pipelines and Transformers/Estimators
- Building Classification/Regression Models
- Spark Configurations and Optimization
- Broadcast Variables and Accumulators
- Debugging and Logging