🎅Giving away 10 signed copies of Ace the Data Science Interview 📕
I’ll ship the book anywhere in the world – just drop a like & comment & RT by Dec 22 👇
p.s. if you want to jump right in, 30+ Data Science questions from the book can be found on DataLemur: https://t.co/EgFkuypghW
A Visual Tour of the Meta-Tidyverse
For years, I’ve been trying out different non-tidyverse implementations of tidyverse. It’s fun seeing folks mold languages to run analysis code inspired by it.
If you like screenshots of code, come along for a visual tour.
Let’s start w/ R.
Resume screening is pretty much a black box for most candidates. Few hiring managers have publicly discussed this.
Whether you're interested in our startup, I hope my perspective can shed some light on what is happening on the other side of the table.
https://t.co/wsoJV1fI9z
#RStats PSA: haven't tested this out myself yet, but `message = FALSE` should now completely suppress messages in R code chunks (no more using suppressPackageStartupMessages!)
Source: https://t.co/viv5uc8CRa
@BenSchleuss yes you're right, the x-axis directions are reversed! I probably didn't think too much of it when I was making the plots but I agree it would be more intuitive if the x-axis directions were consistent
Since my I got PhD in Biostatistics in 2020, I've worked on clinical trials design, as a postdoc, and now at as a pre-clinical statistican. A long🧵on my thoughts about the post-PhD job search, and why I don't like the academia vs industry dichotomy:
I posted this graph yesterday as part of the #30DayChartChallenge and a few people have asked some reasonable questions about why I chose to present this data in this way.
So I thought I'd write a thread to explain my thought process...
New blog post 📊 How good are 538's NBA predictions? I evaluate their model here: https://t.co/y4UKhe2zuT
(spoiler in screenshot below👇)
#nba#rstats#datascience#fivethirtyeight
'tis the season to be updating websites so https://t.co/4mIJiPbnGt gets a refresh thanks to @seankross's wonderful postcard package https://t.co/p1urdYeeKq
Presenting at #ENAR2021 next Monday! I will talk about the statistical modeling of single-nucleus RNA-seq data.
Details of my talk at: https://t.co/EgNEoKMFZp
Too many broadly useful stats methods are masked in domain-specific language. In my new pair of posts, I discuss formula-free #causalinference design patterns to help data analysts recognize frameworks as they encounter them in everyday work
https://t.co/fV2VGLpfju
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