Monday Morning Data Chat

#91 - Making Statistics Fun for the Masses w/ Josh Starmer (StatQuest)

Aug 15, 2022

01:03:56

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Highlights

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Episode notes

Pea Hacking and How to Mitigate It

04:09

How to Train Yourself in Statistics

03:56

Do You Need Both Effect Size and Statistical Significance?

02:51

Introduction

2min

The Transition From Stats to Machine Learning

4min

Do You Need Both Effect Size and Statistical Significance?

3min

Pea Hacking and How to Mitigate It

4min

Teaching Experiment Design Is Critical

5min

What I Love About Statistics?

6min

How to Make a Successful Tube?

1min

How to Communicate in a More General Way

5min

I've Never Taken a Stats Class.

3min

10.

The Chain Rule, Is It Really Used?

6min

11.

What's the Difference Between a PhD and a PhD?

5min

12.

How to Train Yourself in Statistics

4min

13.

Is It Really Two?

2min

14.

Is the Population Too Big?

3min

15.

Is Machine Learning a Quest?

2min

16.

Forecasting Is a Cool Field

2min

17.

What Are the Limitations of Forecasting?

4min

18.

You Can Make a Living Doing That?

2min

19.

I've Got a LOT to Talk About, Manesi.

3min

Josh Starmer has singlehandedly made statistics fun and exciting for millions of people with his popular YouTube channel, StatQuest.

He joins the show to chat about how he got started, his approach to teaching, communicating effectively, and what he's up to next.

#statquest #datascience #statistics

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