I think the message in #DataScience needs to be: Don't believe everything you read. 🧵

#rstats
I'd like to thank Rafael Nicolas Fermin Cota for pointing me to this modified graphic from a recent Harvard Business Review article on "Prioritizing Which Data Skills Your Company Needs".
You hear Harvard Business Review, & you think this must be legit.

Well, in this case, they dropped the ball.

If you're coming up with an educational plan for your org in 2022, here are some tips...
1. Focus on #STATS

This the precursor to everything & will help you tremendously
2. Learn how to work with #Data

#DataCleaning and manipulation is 90% of what you will do
3. Build skills in #DataVisualization

This is a cornerstone of understanding, yet many ML specialists can't do it
4. Skip over buzzwords until after you learn fundamentals

AI, Data Science, ML - You'll get to these after you learn stats, data manipulation / data cleaning, & data viz
And if you are learning data science and feel as lost as I did when I first started, then I can help.

I put together a free 40-minute webinar that is value-packed with the 10 most important secrets that would have saved me countless hours.
Seriously. This webinar is insane.

I packaged 5-years of struggling & finally figuring things out into a jammed packed 40-minute talk.

Enjoy & Good luck!!

learn.business-science.io/free-rtrack-ma…

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More from @mdancho84

Jul 30
How my life is changing as a direct result of attending the #RStudioConf 🧵

#rstats
Just 3 days ago, I had the pleasure of watching the #rstudioconf2022 kick off.

I've been attending since 2018 and watching even longer than that.

And, I was just a normal spectator in the audience until this happened.
@topepos and @juliasilge's keynote showed all of the open source work their team has been working on to build the best machine learning ecosystem in R called #tidymodels.

And then they brought this slide up.
Read 10 tweets
Jul 8
The difference between a $90,000 junior data scientist and a $150,000 senior data scientist is this quote.

An #rstats 🧵
I love this quote from Mark Tenenholtz.

I’ve seen this firsthand when I was learning data science.
As a fresher, I spent way too much time coding complex models.

Fun fact - I once WASTED 6 months of my life building a deep learning model for my company that I never used.

Why?
Read 7 tweets
Jul 6
9 tips to improve your #R programming (hacker-style). #rstats Image
1. Learn the fs package

fs gives you access to a suite of tools for working with the file system.

Here I'm getting the file paths for every CSV file in a directory.

Super handy! Image
2. Learn the map() function from the purrr package

map() is used to apply functions to each element of a list.

It's super powerful when combined with the pipe %>%

Here I'm just piping %>% in my file paths from Tip 1 into map() + read_csv()

And it reads all of my CSV files. Image
Read 12 tweets
Jun 21
No matter how long I’ve been doing data science, I still get smacked in the face every once in a while.

A true story. 🧵

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

I’ve published 10 R packages now.

My top 3 combine for over 2,500,000 downloads.

I’ve taught over 3,000 data scientists, many work for Apple, Microsoft, Google, Netflix.

AND, I still get smacked in the face every once in a while.
Case in point!

I was building a Shiny App for my 2018 R/Finance presentation.

(I’d been coding in R for over 5 years & by this point I was pretty solid).
Read 8 tweets
Jun 21
Hey Data Scientists,

I'm hosting a free geospatial analysis training tomorrow, and I'd love to help you learn spatial analysis with #Rstats.

Here's what's coming. 🧵 Image
Geospatial analysis is a high-demand skill that companies are paying people fat salaries to help them.

I want to help you learn geospatial for free (so you can get one of these lucrative jobs).

Here's what I'm teaching live tomorrow...
1. Learn the key function for fast interactive data visualization
Read 9 tweets
May 7
#SQL from #R is insane. Here’s why. 1/6

Image Credit: @yutannihilat_en

#rstats
2/6 Thanks to Hiroaki Yutani for putting this amazing example together.

This small example demonstrates how you can learn R and automatically use SQL.
3/6 Under the hood, the dbplyr library converts R’s tidyverse syntax to SQL

So we don’t need to memorize the SQL translation.
Read 6 tweets

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