Time to completeApprox. 4 hours
Certificate of completionYes
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.
Syllabus2 lessons • 2 projects • 3 quizzes
Hands-on learningDon’t just watch or read about someone else coding — write your own code live in our online, interactive platform. You’ll even get AI-driven recommendations on what you need to review to help keep you on track.
Reviews from learners
- The progress I have made since starting to use codecademy is immense! I can study for short periods or long periods at my own convenience - mostly late in the evenings.Chris Codecademy Learner @ USA
- I felt like I learned months in a week. I love how Codecademy uses learning by practice and gives great challenges to help the learner to understand a new concept and subject.Rodrigo Codecademy Learner @ UK
- Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.John-Andrew Codecademy Learner @ USA