Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
3 Hour(s) 16 Minute(s)
Language
English
Taught by
Matt Blank
Certificate
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
8 views
Course Overview
Learn to analyze data using the Python Pandas package
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
Course Content
- 7 section(s)
- 37 lecture(s)
- Section 1 Course Intro
- Section 2 Introduction to Pandas
- Section 3 Finding the top scorer on each team by average points per game
- Section 4 Finding the top scorer on each team that played half their team's games
- Section 5 Creating an algorithm to find the 2019 MVP
- Section 6 Visualizing our data
- Section 7 Course Wrap
What You’ll Learn
- Clean, analyze, and visualize data about NBA players
Reviews
-
MMaciej Wachowicz
Just basics, but in clear way, nice.
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LLiam J. Sheridan
Great starting point for anyone looking to start with Pandas, NumPy or Matplotlib - combining this with a subject you can engage with instead of just your everyday bland data was perfect for keeping me locked into the course and Matt's delivery was great.
