In this episode, I’ll walk you through important techniques like hypothesis testing, understanding correlations, and calculating confidence intervals.
I’ll break it all down in a way that’s easy to follow, so you can start applying these tools to your own data analysis projects.
This all builds on my Data Analytics Series and beyond!
Don’t miss out on this chance to improve your statistics skills with Python and SciPy!
Tune in for yet another episode of PyPod Chronicles!
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The article below breaks it all down with interactive real world code examples for you to follow along with, I pour a ton of time weekly into creating content to help you all grow in the crazy world of Python and beyond.
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Python Crash Course - Here
Automate the Boring Stuff - Here
Data Structures and Algorithms in Python - Here
Python Pocket Reference - Here
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SciPy for Data Analysts: Hypothesis Testing, Correlation & More with SciPy | Episode #68