SciPy for Data Analysts: Hypothesis Testing, Correlation & More with SciPy | Episode #68

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!

I’ve linked the latest episode of Code with Josh below, 5 Best Python Habits!

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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.

If you are not already subscribed to my premium make sure you do as you get exclusive access to these articles and all my code to follow along with!

Along with getting access to my Data Analytics series you also get exclusive access to a boat load more content such as monthly Python projects, weekly long form articles, 3 Randoms, & my complete archive!

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🎬 5 Best Python Habits

Over on Code with Josh ~ HERE

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Here are some resources:

👉 Get my Python & Git Guide ~ Python PDF Guide

📚 Books I’ve Found Helpful:

* Python Crash Course - Here

* Automate the Boring Stuff - Here

* Data Structures and Algorithms in Python - Here

* Python Pocket Reference - Here

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