My biggest mistakes were never my insights. They were in over-confidence.

An #rstats + #bayesian 🧵
2/n 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.
3/n In fact, I'd argue that the BIGGEST flops were due to over-confidence.

Believing my model was better than it actually was.

Here's what hurt me...
4/n 3 things that hurt me the most:

1. Anomalies (Outliers)

2. Skewed Data (Long tailed distributions)

3. Using error metrics based on in-sample data

This is where Bayesian can help.
5/n I'd like to invite you to attend my FREE WORKSHOP on Bayesian, where I'm going over:

1. Why Bayesian is important to business

2. How to implement Bayesian for 90% of business problems

3. A case-study with code that shows you my strategies for analyzing bayesian models
6/n Join me and 700+ other students live next week where I teach #Bayesian for business using my FAVORITE language #R.

The workshop is great for beginners and experts alike.

No prior knowledge required.

👉Register Here: bit.ly/Bayes99

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More from @mdancho84

Apr 4
The james bond of data science.

I saw this post from @v_vashishta who described the JB of DS as someone who's resume makes recruiters cry, can cook Michelin 3 start meals with 1 hand, & run an entire #datascience team with the other...

A #rstats #python 🧵 Image
2/n

It's funny, because it's true! Job descriptions perpetuate this unicorn.

BUT, here's the cold hard facts:

1. You don't need to be a unicorn. In fact trying to become one will hurt your progress.
3/n

2. You don't need a PhD degree. In fact most of my students don't have computer science backgrounds. YET, they are getting jobs at Apple, Microsoft, Google...
Read 8 tweets
Mar 7
People are shocked when they learn that I picked #R over Python. It’s a true story.

I began learning data science with Python. This decision actually cost me 2-months and caused me to quit data science for a little bit.

Why? (a 🧵)
#rstats Image
2/n Python was too much like coding. And I came from a business background. My main tool was Excel. Python was unnatural.

A friend of mine recommended me to try #R.

I was instantly surprised at how much more intuitive it was for me given my Excel background. Here's what R had:
3/n
👉#R has functions just like #Excel. I could quickly summarize my data using mean(), sd(), sum(), and friends. These functions were very similar to AVERAGE(), STDEV(), and SUM() from Excel.
Read 8 tweets

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