intermediate
Introduction to PySpark
Data
4 courses
77 practices
10 hours
Dive into the world of Big Data with PySpark, combining the power of Python and Spark's distributed computing. Master RDDs, DataFrames, SQL operations, and MLlib essentials. Acquire practical skills in data manipulation and machine learning, paving your path as a powerful data engineer.
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170 learners
Earn a shareable
Certificate of Achievement
Verified skills you'll gain
Badge for Big Data Processing, Intermediate
INTERMEDIATE
Big Data Processing
Badge for SQL and NoSQL Data Querying, Intermediate
INTERMEDIATE
SQL and NoSQL Data Querying
Badge for Data Ingestion and Extraction, Intermediate
INTERMEDIATE
Data Ingestion and Extraction
Tools you'll use
Python
Spark