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Matt Dancho (Business Science) Profile picture
@mdancho84
May 14 • 12 tweets • 3 min read Twitter logo Read on Twitter
What stresses me out isn’t the same thing that stressed my parents out.

True story. 🧵

#datascience #rstats Image
It was the day before R/Finance 2018.

I had a presentation for R/Finance where I was going to present a Shiny App that I was working on.

I updated my R software…

Big mistake.
My shiny app suddenly stopped working and I went into straight panic-mode. 😱

This was before I knew how to use GitHub & Docker like I do now.

So I was freaking out.
I was sitting in a Starbucks in Chicago. Miles away from home.

Beads of sweat instantly started to form.

The barista asks if I need anything.

I muster a “no thanks.” And try not to scream.
That night, I figured it out.

You know what it was?

One of the args to a function changed names.

My app wasn’t able to fetch data. WTF developers.

This is a cruel trick. 😡
Ok. After the heat dissipated. I fixed the issue. Disaster averted.

But this single problem that cost me a day of work AND taught me a valuable lesson.

Never update R…
Lol, I’m kidding. What it really taught me was…

Protect yourself.

Learning tools like Docker & Git can save you countless hours when in production or…
…when you are about to present an awesome Shiny app to 500 data scientists and the most powerful folks in finance.

The good news is I eventually learned Docker, Git, and a lot more.
If you ever felt like this, or even if you haven’t but you know you are down the path that I was - updating software without a care in the world for your production code.

Then I’m telling you I can help.
I put together a free 40-minute training that consolidates 5-years of wisdom into a value-packed presentation containing the 10 SECRETS I wish I knew when learning data science.

This webinar is powerful.
And it will help you become a data scientist faster.

Alright, check out the webinar and I’ll see you on the other side.

Your friendly neighborhood data scientist,
Matt Dancho

PS - Don’t update your R until you watch the webinar.
Get my free R-Track Masterclass Webinar here: learn.business-science.io/free-rtrack-ma… Image

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More from @mdancho84

Matt Dancho (Business Science) Profile picture
May 13
Becoming a data scientist in this economy isn't easy.

But it can be done.

Here are a few tips.

#datascience #career Image
First, build the foundational skills.

These include:

- Data Cleaning
- Data Wrangling
- Visualization
- EDA (Exploratory Data Analysis)
- Machine Learning
- Clustering
- Reporting
- Programming

Time Frame: 6 Weeks
Next, you need 3 of the most overlooked skills:

1. Problem-Solving Skills
2. Time Series
3. Production

These are the skills that will generate the most ROI for your company.

And it's what they will hire you in a recession for.
Read 7 tweets
Matt Dancho (Business Science) Profile picture
May 12
I continue to be impressed by the ease of doing machine learning with Pycaret.

This is especially great for #R people that want to learn #Python.

Let me explain...

#DataScience #Rstats Image
As many of you know, my primary data science toolkit is #R. ❤️

I've been doing data science in production at @bizScienc and developing open-source R software for over 10 years.

- Modeltime (+4 ecosystem pkgs)
- Timetk
- Tidyquant
- CorrelationFunnel
But, I interact with team members and interface with clients...

and their language of choice is often Python.

It's refreshing that I can quickly switch to Python when needed, and not need to write 5000 lines of #ScikitLearn code to do basic machine learning.
Read 5 tweets
Matt Dancho (Business Science) Profile picture
May 12
#AI isn't going to take your data science job.

But the #recession might.

Here's how this trend is unfolding from Big #Tech to the broader job market (and how to prepare)...

#datascience #career Image
For the better part of a decade, Big #Tech was on a hiring spree.

Companies like #Amazon, #Microsoft, and #Meta overhired. And that's OK when things are going well.

But then 2022 hit and Big Tech had its worst decline since 2008.
And in January 2023, with CEOs seeking to protect their stock prices, companies like:

Amazon,
PayPal, and
Microsoft

...all announced deep cuts to employees.
Read 11 tweets
Matt Dancho (Business Science) Profile picture
May 11
Data science is evolving.

And the cold, hard fact is: Your Career Is On The Line.

If your projects aren't making it into production, your job has a bullseye on it 🎯

Time to smarten up. Here's how.

#datascience #career #python Image
Data science is different today than it was in 2022.

Why?
In 2022, companies were OK with hiring 15+ person data science teams...

The "hype" hiring was that AI would solve all problems...

Grow revenues.
Cut Costs.
Make MONEY (aka profit)
Read 16 tweets
Matt Dancho (Business Science) Profile picture
May 10
Learning data science on your own is tough...

...(ahem, it took me 6 years)

So here's some help.

5 Free Books to Cut Your Time In HALF.

Let's go! 🧵

#datascience #rstats #R Image
1. Mastering #Spark with #R

This book solves an important problem- what happens when your data gets too big?

For example, analyzing 100,000,000 time series.

You can do it in R with the tools covered in this book.

Website: therinspark.com Image
2. Geocomputation with #R

Interested in #Geospatial Analysis?

This book is my go-to resource for all things geospatial.

This book covers:
-Making Maps
-Working with Spatial Data
-Applications (Transportation, Geomarketing)

Website: r.geocompx.org Image
Read 8 tweets
Matt Dancho (Business Science) Profile picture
May 9
A big mistake I see data scientists making: Learning tools they never use.

I did this.

And here’s how to fix it.

#datascience #rstats Image
A classic case of learning everything is mean, median, and mode.

Data scientists learn how to use all 3 of these.

Median and mean I use almost every day.

But I can count on one hand how often I have used mode.
The same applies to machine learning, data wrangling, and visualization.

There are 1000's of things you could learn.

But what should you spend your time learning?
Read 7 tweets

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