Bold prediction for 2023: The Birth Of The Business Scientist.

Here's what is about to happen. 🧵

#datascience #python #rstats #stats
According to Glassdoor research, we already have:

1. Data Analyst, $71,298/yr
2. Business Analyst, $83,924/yr
3. Data Scientist, $124,680/yr

But noticeably missing is the "Business Scientist".
So what is a "Business Scientist"?

And why are we about to see the birth of this new role?
To understand, we first need to know why the "business analyst" role was created.

Business analysts and data analysts both work with data.

The difference is what they do with it.
Business analysts use the data to make strategic decisions.

Data Analysts focus more on identifying useful information from business data.

Do you see the difference?
The BIG BILLION DOLLAR PROBLEM in data roles is that they are focused on "identifying useful information".

And the reason why "Business" roles are paid on average 17% more, is because they are focused on "business strategy".

So, I see a change coming in 2023...
The birth of the "Business Scientist"...

A data person that is solely focused on business strategy that uses cutting-edge tools and techniques to develop and implement new and improved business strategies.
And if you'd like to prepare for this change so you can get the elusive $145,876/yr salary that's up for grabs...

... then I'd like to help.
Here's how...

Attend my new webinar, "How to get a data science job in 2023?"

I will discuss trends and what companies need from you to hire you.
You will leave with actionable insights to set you apart from your competition AND increase your value to your organization.

AND you'll have the step-by-step plan to become more qualified than traditional "Data Scientists" that get paid "124,680/yr
What's inside this webinar?

You will learn:
1. What mistake every aspiring data scientist is making

It's actually preventing you from becoming a data scientist.
2. The backdoor way to getting a data science job

If you do this correctly, you'll increase your chances of getting a job by 4.3X.
3. Get ideas for your future job portfolio

By adding the 3 overlooked skills to your tool chest
All data science job secrets will be revealed during the training.

I'll see you there!

Register Here: bit.ly/career-2023

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More from @mdancho84

Dec 3
Having a tough time in this data science job market?

Here’s a secret.

Stop learning python.

And start learning R. 🧵

#rstats #datascience
With Twitter, Facebook & Amazon announcing massive layoffs, the job market is trickier than ever.

What do you when there’s now massive competition?
95% of data scientists are competing for the same old data science jobs.

- Python
- Pandas
- Matplotlib
- Scikit learn

If that’s your strategy, you are a commodity.
Read 11 tweets
Dec 2
You may not be the best coder, but don’t lose sight of the main goal: results.

Clean code takes time.

You’ll get better.🧵

#rstats #datascience #stats #code Image
This meme was presented in John Paul Helveston’s undergrad R class...

...to blank stares, because most students were born AFTER 2003 when Pirates of the Caribbean came out.

While John got blank stares from his students, his point is well taken over here.
My code wasn’t always good.

In fact, if I look back at my early code, it was terrible.

BUT IT STILL RUNS!!!
Read 7 tweets
Nov 30
Ever have too many groups to visualize on a plot?

Here's a 3-step process I use frequently to consolidate groups with #R.

#rstats Image
Consolidating groups is super common...

I use this process for consolidating sales data all the time

(like how many purchases customers made by product over Black Friday)

And, I often have too many groups to visualize.

Here's how I get the top N groups.
There are 3 basic steps...

1. Reduce groups

2. Grouped summarize

3. Visualize
Read 10 tweets
Nov 20
Stop learning data science.

Start learning how to solve problems. 🧵

#datascience #rstats #stats Image
Most people dive into learning data science by taking course after course on

coding,
algorithms,
math,
statistics,
computer science,
APIs,
...
web apps,
databases,
SQL,
R,
Python,
SQL again (advanced this time),
Tableau (because I like dashboards),
PowerBI (because I realized my company doesn’t use tableau),
and…

You get the idea.
Read 13 tweets
Nov 17
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.🛑
Read 10 tweets
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

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