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Matt Dancho (Business Science) Profile picture
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Sep 30 • 5 tweets • 2 min read
The more I dive into Bayesian, the more... my mind is blown.

Here's why. 🧵

#rstats #python #datascience Image
First, Bayesian is like normal regression. Except way better!

It literally solves issues in-sample by sampling. Lots of times!
Second, confidence intervals are realistic.

Unlike normal regression, Bayesian regression accounts for changing variance.
Third, we can apply concepts from GAMs to make Bayesian models flexible!

This is mind-blowing. Bayesian is like a SUPER-GAM! Flexible with better confidence!
If you want to learn Bayesian for Business Analysis, I'm hosting a LIVE EVENT next week.

It's a free webinar where I'll cover exactly what I'm learning about Bayesian AND why I'm so fired up about it!!

bit.ly/bayesian-1 Image

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More from @mdancho84

Matt Dancho (Business Science) Profile picture
Sep 30
No computer science degree?

Here’s how to get a job in data science. 🧵

#rstats #python
Learn these:

1. A programming language: R or Python

I chose #R because it was intuitive coming from a business background (excel)
2. Statistics & Math

Learn the basics of frequency, distribution, & within group analysis.
Read 10 tweets
Matt Dancho (Business Science) Profile picture
Sep 29
My biggest mistakes were never in my insights.

My mistakes were in overconfidence. 🧵

#rstats #datascience #python Image
In business, I've made great regression models that have predicted how much sales we were going to make.

In fact, this helped me increase revenue from $3M to $15,000,000 per year at one of the companies I worked at.
BUT my models were NOT perfect.

In fact, I'd argue that the BIGGEST flops were due to overconfidence.

Believing my model was better than it actually was.

Things that hurt me:
Read 11 tweets
Matt Dancho (Business Science) Profile picture
Sep 27
Why does every beginner data scientist fall for the "deep learning trap"?

True story 🧵

#rstats #datascience #deeplearning
When I was first learning data science this cost me at least 6-months. Seriously...

I was building a model for predicting which quotes would become orders.
I had just finished using a linear regression (didn't know about logistic yet) to make a predictive model.

Yeah I know - I was a noobie using regression instead of classification. So what?!
Read 15 tweets
Matt Dancho (Business Science) Profile picture
Sep 27
When I first learned R, I struggled making data visualizations with ggplot2.

Here are the 3 things that helped me.

#rstats #R #datascience #datavisualization
Data visualizations are absolutely the most important thing to learn because of story telling...

... the ability to help your business take action.

AND the most powerful R library for static data visualization is ggplot2.
But ggplot2 has a STEEP learning curve.

3 things that helped me...
Read 14 tweets
Matt Dancho (Business Science) Profile picture
Sep 26
I hate to say it but...

#Shiny is giving tableau a run for it's money.

Here's why...

#rstats
Tableau is a great tool. For descriptive analysis...

...but it's terrible at predictive analysis.

Enter Shiny.
Shiny's big con is that it takes forever to build an app.

You still need to know HTML & CSS to make it look good.

UNTIL NOW.
Read 10 tweets
Matt Dancho (Business Science) Profile picture
Sep 26
Embarrassed by your #R code?

Here are 4 mistakes beginner R coders make AND how to avoid them.

#rstats #datascience
The reality is you aren't going to become a master R programmer over night.

But I see beginners making the same mistakes time and time again.

And they are easy to correct.

Here are the 4 most common mistakes and how to easily correct them.
1. Not using comments

This is a huge no-no.

Why?

Because comments help others understand your code INCLUDING future you.
Read 13 tweets

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