Analyze NBA data in Python
Last updated 4/2021
Duration: 3h16m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 2.41 GB
Genre: eLearning | Language: English

Learn to analyze data using the Python Pandas package


What you'll learn
Clean, analyze, and visualize data about NBA players

Requirements
Student should be familiar with basic Python, but I'll share a 1-hour intro course to get up to speed

Description

What you'll learn:
- Go from zero coding knowledge to analyzing data in just 3 hours!
- Use the popular Python Pandas package to clean, analyze, and visualize data
- Analyze data for the NBA and learn to apply code to analyze any data set you like
Testimonials:
'No code is a superpower, but combining with a bit of code (Python in this case) takes things next level. Matt's one of the best teachers I know and explains complex topics in an easy to understand way. Each course is easily worth 5-10x the value he charges. Highly recommend checking it out!' -Seth, Founder of No Code MBA
'Very well-structured and approachable way to gain an initial understanding of Python. For the past 6-months or so I have been planning to dive into a self-taught Python course which is many hours long & daunting. Once I came across your course I felt it was a great way to spend an hour or so to cover the basic aspects but also walk away with a completed activity. So thank you for creating this course!' -Mike
'I'm loving this course! It's broken down amazingly well and I'm learning way more than I have in any other coding course I've taken.' -Lucas
Who this course is for:
Intermediate Python students looking to learn data analysis skills using the Pandas package