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More from @mdancho84

Matt Dancho (Business Science)

@mdancho84

Mar 8

99% of data scientists CANNOT do #timeseries and #automation together.

I know this because almost all of my advanced students ask for help in these 2 areas.

So I made a FREE training.

Here's why + how to access it for free... 🧵

#datascience #rstats

What if you could use any #Python or #R library to do it?

Which would you pick?

Here's what I'd do and why.

1. Modeltime in R for Time Series

It's not a question. It's a fact.

Modeltime is the best forecasting library in R or Python ecosystems.

Sure the bar is high:
- forecast
- fable / tsibble
- statsmodels
- sktime
- pmdarima
- darts
- +20 more

Modeltime is the best.

Read 7 tweets

Matt Dancho (Business Science)

@mdancho84

Mar 7

Over 80% of data scientists struggle with time series forecasting.

And worse, 99% don't know how to automate it for their business.

So let's fix that...

And increase your value to your (future) company even more.

This is how. 🧵

#datascience #rstats #python

Imagine for a minute. What if you could...

1. Run a more accurate forecast than what your company is doing currently?

2. You could automate it on ANY interval (60 seconds, 1 day, 2 weeks, 1+ months)?

3. And it worked like clockwork solving your company's forecasting problem?

Read 10 tweets

Matt Dancho (Business Science)

@mdancho84

Mar 7

I’ve read over 100 books on data science, and I can tell you that it’s the most exciting field I’ve ever been a part of.

But I can also tell you that it’s insanely frustrating to navigate.

Here’s a solution 🧵

#datascience

I’ve struggled with:

1. self learning,
2. bootcamps and
3. random courses,

And I had the mistake of making my own curriculum when I was learning.

All of this made me more confused. 🙃

Now 10 years into my journey, I’m excited to have put together my own e-book to help others.

Read 5 tweets

Matt Dancho (Business Science)

@mdancho84

Feb 11

The future of data science is the Business Scientist.

Let me explain.

There’s a big gap between data science and the business and that gap is widening.

Why?

Before 2023 organizations had been heavily investing in AI Hype:

1. Hiring data scientists with deep theoretical knowledge but without applied business experience

Read 11 tweets

Matt Dancho (Business Science)

@mdancho84

Feb 11

The 50/50 learn-apply framework.

The framework I used to cut 60 hours of busy work down to 20 hours of productive work.

Learn high-impact skills.

AND double my salary ($75K to $150K) in the process.

I’ll teach it to you in 2 minutes.

First, when I started working I had a huge problem.

I was spending 60 hours a week working.

But it wasn’t productive.

I was doing urgent-unimportant work:

1. Putting out recurring fires🔥

2. Answering emails all day

3. And in constant meetings

This was massively unproductive.

Read 19 tweets

Matt Dancho (Business Science)

@mdancho84

Feb 10

Time series forecasting.

Not only do 90% of data scientists struggle with it.

But 99% don't know how to automate it for their business.

So let's fix that. 🧵

#datascience

I'm tired of seeing data scientists get sh*t canned in this economy.

And I want to help you.

I believe automation and time series are 2 important skills that will help you get closer to becoming a Business Scientist...

...A 1-person data science team that outperforms 10+ person teams.

Read 12 tweets

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