Still responding to folks re: my transition to data science post! I'll get to everyone, promise!
Given the interest I thought people might want to know the (almost all free/low cost!) resources I used to train myself for a data science role
A (hopefully helpful) 🧵
Given the interest I thought people might want to know the (almost all free/low cost!) resources I used to train myself for a data science role
A (hopefully helpful) 🧵
R, Part I
My first real #rstats learning experience was using swirl. I loved that I could use it inside of R (rather than having to go back and forth between the resource and the RStudio console)
swirlstats.com/students.html
My first real #rstats learning experience was using swirl. I loved that I could use it inside of R (rather than having to go back and forth between the resource and the RStudio console)
swirlstats.com/students.html
R, Part II
A cliche rec, but it's cliche for a reason. R for Data Science by @hadleywickham & @StatGarrett transitioned me from "kind of messing around" to "wow, I did that cool thing" in R. It's absolutely a steal that it's available for free
r4ds.had.co.nz
A cliche rec, but it's cliche for a reason. R for Data Science by @hadleywickham & @StatGarrett transitioned me from "kind of messing around" to "wow, I did that cool thing" in R. It's absolutely a steal that it's available for free
r4ds.had.co.nz
R, Part III
If you want to do machine learning at all, Tidy Modeling with R by @topepos and @juliasilge is already amazing (and the book isn't even technically done!) The tidymodels ecosystem is also 🔥
tmwr.org
If you want to do machine learning at all, Tidy Modeling with R by @topepos and @juliasilge is already amazing (and the book isn't even technically done!) The tidymodels ecosystem is also 🔥
tmwr.org
R (with Git/Github), Part IV
Happy Git with R by @JennyBryan has changed my entire workflow for the better times a million. It's *the* resource for version-controlling R code effectively
happygitwithr.com
Happy Git with R by @JennyBryan has changed my entire workflow for the better times a million. It's *the* resource for version-controlling R code effectively
happygitwithr.com
Statistical (Re)Thinking/Causal Inference
Statistical Rethinking by @rlmcelreath is hands down the best advanced stats book I've ever read. There's also a glorious amount of free resources available around it (including an entire series of lectures)
xcelab.net/rm/statistical…
Statistical Rethinking by @rlmcelreath is hands down the best advanced stats book I've ever read. There's also a glorious amount of free resources available around it (including an entire series of lectures)
xcelab.net/rm/statistical…
Causal Inference, Part II
This blog post by @dingding_peng is still the best explanation I've ever seen of conditioning on a collider (Even if, like me until recently, you don't know what any of those words are, you care about this)
the100.ci/2017/03/14/tha…
This blog post by @dingding_peng is still the best explanation I've ever seen of conditioning on a collider (Even if, like me until recently, you don't know what any of those words are, you care about this)
the100.ci/2017/03/14/tha…
The Data Science Field, Part I
Build a Career in Data Science podcast (free!) and book (well worth the money!) by @robinson_es and @skyetetra made me actually believe I could transition into a data science role!
I also learned a bunch + they're hilarious (links in next tweet)
Build a Career in Data Science podcast (free!) and book (well worth the money!) by @robinson_es and @skyetetra made me actually believe I could transition into a data science role!
I also learned a bunch + they're hilarious (links in next tweet)
The Build a Career in Data Science
Podcast: open.spotify.com/show/78Nft51Tu…
Book: manning.com/books/build-a-…
Podcast: open.spotify.com/show/78Nft51Tu…
Book: manning.com/books/build-a-…
The Data Science Field, Part II
The nightly (Mon-Thurs) data science Twitch stream with @nickwan and the #SLICED data competition hosted by him and @MeganRisdal
Hands on, helpful stuff, solving real DS problems
Twitch: twitch.tv/nickwan_datasci
Sliced: notion.so/Sliced-Show-c7…
The nightly (Mon-Thurs) data science Twitch stream with @nickwan and the #SLICED data competition hosted by him and @MeganRisdal
Hands on, helpful stuff, solving real DS problems
Twitch: twitch.tv/nickwan_datasci
Sliced: notion.so/Sliced-Show-c7…
The Data Science Field, Part III
Following lots of cool people on Twitter! I particularly appreciate @asmae_toumi and @kierisi, plus their "following" lists are great for finding other awesome folks
Following lots of cool people on Twitter! I particularly appreciate @asmae_toumi and @kierisi, plus their "following" lists are great for finding other awesome folks
Python, Part I
Lots of great resources here (and I admittedly know much less than I know about R)
I've used Codecademy's modules and found them really helpful, especially as someone who already knows R pretty well
codecademy.com
Lots of great resources here (and I admittedly know much less than I know about R)
I've used Codecademy's modules and found them really helpful, especially as someone who already knows R pretty well
codecademy.com
Python, Part II
I've found RStudio's resources on running Python code inside RMarkdown super useful!
rstudio.github.io/reticulate/art…
I've found RStudio's resources on running Python code inside RMarkdown super useful!
rstudio.github.io/reticulate/art…
Ok, I might add to this list over time, but I think I'll stop here for now!
Feel free to reply with other resources you've found super useful on your data science journey
Feel free to reply with other resources you've found super useful on your data science journey
• • •
Missing some Tweet in this thread? You can try to
force a refresh
