People are shocked when they learn that I picked R over Python. Itβs a true story.
#rstats π§΅
#rstats π§΅
2/n
I began learning data science with Python. This decision actually cost me 2-months and caused me to quit data science for a little bit.
Why?
I began learning data science with Python. This decision actually cost me 2-months and caused me to quit data science for a little bit.
Why?
3/n Python was too much like coding. And I came from a business background. My main tool was Excel. Python was unnatural.
A friend of mine recommended me to try R.
A friend of mine recommended me to try R.
4/n I was instantly surprised at how much more intuitive it was for me given my Excel background:
πR has functions just like Excel. I could quickly summarize my data using mean(), sd(), sum(), and friends. Very similar to AVERAGE(), STDEV(), and SUM() from Excel.
πR has functions just like Excel. I could quickly summarize my data using mean(), sd(), sum(), and friends. Very similar to AVERAGE(), STDEV(), and SUM() from Excel.
5/n
πR has analytics built-in. I could do correlation and make trendlines with linear regression very easily.
πR has analytics built-in. I could do correlation and make trendlines with linear regression very easily.
6/n
πR had the tidyverse. The tidyverse blew my mind. This toolkit includes data wrangling and visualization libraries that effortlessly worked together.
πR had the tidyverse. The tidyverse blew my mind. This toolkit includes data wrangling and visualization libraries that effortlessly worked together.
7/n
π R had the pipe! If youβve never tried it, the pipe %>% is this amazing operation that allows you to flow your data transformations from one operation to another.
π R had the pipe! If youβve never tried it, the pipe %>% is this amazing operation that allows you to flow your data transformations from one operation to another.
8/n
πR has reporting! I was able to make a simple PDF report in minutes versus struggling with Jupyter.
πR has reporting! I was able to make a simple PDF report in minutes versus struggling with Jupyter.
9/n
So I ended up picking R and to this day Iβm so happy I did.
If youβre like me, coming from a business background, using Excel, Tableau, or PowerBI daily, then R will feel like those tools on STEROIDS! (seriously)
So I ended up picking R and to this day Iβm so happy I did.
If youβre like me, coming from a business background, using Excel, Tableau, or PowerBI daily, then R will feel like those tools on STEROIDS! (seriously)
10/n
Want more information on how to become a data scientist with R?
Iβve consolidated my learnings into 10 secrets that I wished I knew going into data science.
These are the 10 most valuable tools Iβve learned over my journey.
learn.business-science.io
Want more information on how to become a data scientist with R?
Iβve consolidated my learnings into 10 secrets that I wished I knew going into data science.
These are the 10 most valuable tools Iβve learned over my journey.
learn.business-science.io
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