Data Analysis with Python for Beginners - Ep 6: Stat Functions & Correlation
In this episode, we’ll learn how to call stat functions from Pandas to grab things like mean, median, variance, and standard deviation from our dataset! In addition to looking at the stat functions, we’ll also look at correlation plots using the Seaborn library and Matplotlib which we went over in the previous episode!
This video is part of an 8-part course designed to give absolute beginners an idea of what Data Analysis looks like using Python.
What is Data Analysis? Data Analysis is the process of exploring, cleaning, transforming, and modeling data as a way to produce insightful conclusions or gather useful information. It is a field that is growing rapidly, along with Data Science, and one that is very high in demand. If you’re interested in taking that career route, or maybe just want to learn it as a skill, this course is for you!
This episode’s Colab Notebook: https://colab.research.google.com/dri...
Matplotlib website/documentation: https://matplotlib.org/stable/index.html
Seaborn website/documentation: https://seaborn.pydata.org/
AI Global Index Dataset: https://www.kaggle.com/datasets/kater...
Episode Timestamps:
00:00 - Statistics terminology
03:30 - mean method
04:47 - mean method w/ selection
06:24 - median method
07:42 - var method
08:00 - std method
08:17 - stat methods w/ selection
09:40 - Correlation
10:17 - Correlation w/ seaborn
10:46 - pairplot method
15:40 - individual correlation scatterplots