Free

Course

Introduction to Big Data with PySpark

See how big data is used across different industries and learn how to work with big data using PySpark!

Start

3,275 learners enrolled

Skill level
Beginner
Time to complete
Approx. 4 hours
Certificate of completion
Included with paid plans
Prerequisites
None

About this course

This course is an introduction to the underlying concepts behind big data with a practical and hands-on approach with PySpark. Big data is everywhere, and touches data science, data engineering, and machine learning. It is becoming central to marketing, strategy, and research. This course covers the applications and implications of big data on finance, social media, health, and medicine. PySpark makes it easy to start analyzing big data, making the potential of big data accessible to anyone who knows Python.

Syllabus

2 lessons • 2 projects • 3 quizzes

Start

The platform

4 out of 5 Codecademy learners achieve their goals

"Codecademy gave me the tools I needed to land my first job as a developer, completely changing my career from the waste industry." - Jonathan Manner, Sweden

Animated demonstration of running code in Codecademy's learning environment

Projects in this course

Meet the creator of the course

Meet the full team

Andrea Hassler

Senior Curriculum Developer at Codecademy

Andrea is a Senior Curriculum Developer at Codecademy. Andrea has a Master's in Applied Statistics from NYU and a Bachelor's in Psychology from SUNY New Paltz. She has worked with students individually as a tutor for many years. She has also contributed to research projects in the health sciences as a statistical consultant and research assistant.

Meet the full team