This graph is exactly why I got into data science.

I was fed up with not using my brain at work.

I was bored.

And Here’s what I did.🧵

#datascience #stats Image
It was 2015.

I had recently been promoted to manager of a new sales team.

One problem. 👇

I didn’t know Sales.
I was an engineering manager that was good at selling expensive technical products.

Totally qualified right?!

Haha. Wrong.🛑
But I figured my value add out pretty quickly.

My team had data.

And no one to get insights from it.
And at that point, I was honestly frustrated.

I was tired of not using my brain.

So combining the new arena called "Sales" with this new skill called "Data Analysis" was a welcome challenge.

I was addicted to learning what eventually became "Data Science"
So fast forward to today.

The game has changed.

But the problems haven’t.
And what’s the biggest problem of all?

Learning how to solve business problems with data science.
The sad fact is that it took me 5 years to become confident in data science so I could solve business problems.

And I see A LOT of people struggling today.

I want to help.
There were 10 skills that I learned along the way that would have cut my data science struggles in half.

And, I put together a FREE webinar to share the 10 game-changing data science skills with you.
What's your next step?

Just watch the webinar, take notes, and start making progress on the 10 skills.

It’s that easy. 👉 learn.business-science.io/free-rtrack-ma… Image

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More from @mdancho84

Nov 16
No matter how long I’ve been doing data science, I still get smacked in the face every once in a while.

True story.

#rstats #datascience
Listen, I’ve been coding in R since 2013.

I’ve published 10 R packages now.

The top 3 combine for over 2,500,000 downloads and are used at every major company that uses R.
I’ve taught over 3,000 data scientists...

... Many of them work for elite companies like Apple, Microsoft, Google, Netflix, …

AND, I still get smacked in the face every once in a while.
Read 11 tweets
Nov 16
The most overlooked skill in machine learning...

...And TODAY I want to share how to use it for ANY business problem. 🧵

#timeseries #datascience #rstats Image
Time Series Features is the most overlooked skill in machine learning.

It's a new technique for adding time series summary metrics to a traditional machine learning model...
...AND it's been part of a solution that has helped me grow my business to $2,000,000 per year in the midst of a recession.

Yes, that's a 100% Increase Year Over Year.
Read 5 tweets
Nov 15
What are #TimeSeries Features?

Here's what they are and how they can make YOU and your company a lot of money. 🤑🧵

#rstats #datascience
Time series features are numeric summaries of a time series that can be used for traditional machine learning tasks.
The old way was just to take simple summary statistics like average.

But that’s about as smart as filling a rocket ship with gasoline.

Enter time series features.
Read 14 tweets
Nov 14
Can I give you my secret time series framework?

...for free?

Here's how to get it. 🧵

#rstats #datascience Image
There's a secret technique that almost no organization is currently using THAT will instantly improve 90% of their predictive business models.

And, implementing it could save your (future) organization $1,000,000 or more (making you instantly more valuable).
But, it's kinda tough to grasp

Relax, I am going to help.
Read 12 tweets
Nov 11
R is just easier for some things...

Here's why. 🧵

#rstats #datascience
I've seen it a lot on Social Media... Throwing stones at R Shiny.

Well, I'm here to say that R Shiny is the most UNDERRATED web app software in the data science ecosystem.
How can I say this?

Because I've been paid $25,000+ for apps made with R shiny...

That I've built in under 1 week.
Read 11 tweets
Nov 10
Want to become better with #TimeSeries analysis for free?

I would like to help.

Here's how.

#rstats Image
Next week, I'm hosting a free workshop...

That shows off a new Time Series technique that almost no organization is currently using.

It's easy to implement.
It will help you add time series information to your predictive models, improving their performance in the process.

And it will give you a leg up in the race for data science jobs.
Read 4 tweets

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