twentytwentyone domain was triggered too early. This is usually an indicator for some code in the plugin or theme running too early. Translations should be loaded at the init action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /home1/moderna7/public_html/wp-includes/functions.php on line 6131Podcast Audio Links:
Link to podcast Episode 12 audio
Podcast’s RSS feed for podcast subscription apps
Podcast on Stitcher
Podcast on iTunes
Podcast Video Playlist:
Youtube playlist of interview videos
More about the Data Science Learning Club:
Data Science Learning Club Welcome Message
Data Science Learning Club Meet & Greet
1) Verena Haunschmid
Data Science Learning Club Activity 07: Linear Regression
Verena’s Results for Linear Regression on Salary Dataset
Verena’s website
@ExpectAPatronum on Twitter
2) David Asboth
City University London Msc Data Science
Data Science Learning Club Activity 02: Creating Visuals for Exploratory Data Analysis
David’s results exploring London Underground data
Data Science Learning Club Activity 07: K-Means Clustering
David’s results using k-means to draw puppies in 3 colors
FlyLady (the house cleaning system I mentioned)
David’s website
@davidasboth on Twitter
3) Kerry Benjamin
Data Science Learning Club Activity 01: Find, Import, and Explore a Dataset
Kerry’s results for Activity 1 IGN Game Review Data exploration
Data Science Learning Club Activity 02: Creating Visuals for Exploratory Data Analysis
Kerry’s Blog Post about Activity 02 – “My First Data Set Part 2: The Fun Stuff”
Blog post about Data Camp – “The Data Science Journey Begins”
Kerry’s blog post “Getting Started in Data Science: A Beginner’s Perspective”
Kerry’s Blog “The Data Logs”
@kerry_benjamin1 on Twitter
4) Anthony Peña
molecular biology
biotechnology
Data Science Learning Club Activity 07: K-Means Clustering
Anthony’s results for Activity 07
I had an idea today that would take it a step further. Imagine how book clubs work where you pick a book, go off and read it, then gather occasionally to discuss and record your thoughts. Except instead of a book club, it’s a data science learning club!
I’m imagining picking a topic/project, finding resources showing how to do it, and introducing it to the club at the end of a podcast episode. Then, everyone that wants to participate in learning how to do that particular thing will go off for maybe 2 weeks, work on it and learn what they can, ask questions to each other in a common area like a blog post comment thread, create things and post them to a shared space, then at the end of the period post comments about what they learned and how it went. People could write blog posts about their projects and I would collect those and link to all of them from the original post. Anyone that already knows how to do it could help answer questions if they wanted to participate, too. I might invite some of the participants to talk about their learning experience on a follow-up episode, then the notes and results would be posted for future learners to find.
I think learning together would be fun and valuable, and this type of experience would fall somewhere between learning on your own and taking a class. It would include the pros of learning on your own and exploring, while offsetting some of the cons of going at it alone. It would be a significant time commitment on my part, so I want to make sure other people would join in before I commit. What do you think? Would you join a “data science learning club” and participate in something like this and find it valuable? It’s kind of like the Summer of Data Science, but we’d be learning the same things simultaneously and sharing our results. No one would be “teaching” the group necessarily, but we’d share resources and answer each other’s questions based on what we did individually.
Let me know in the comments or on twitter if you would find this valuable and if you want me to lead it!
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