Data Science Learning Community Videos
Our mission is to help everyone learn data science! We post videos from DSLC.io book clubs, tutorials, and other data science content.
Note that we are a separate entity from the Data Science Learning Community. Membership at https://DSLC.io is absolutely free!
Devops for Data Science: Computer Networks (do4ds02 12)
DataViz: Choosing the right viz software & Telling a story and making a point (dataviz01 28 29)
Advanced R: S4 (advr10 15)
Devops for Data Science: Server Resources and Scaling (do4ds02 11)
Fundamentals of Data Visualization: Don't go 3D & Understanding image file formats (dataviz01 26 27)
Advanced R: S3 (advr10 13)
DSLC Project Club: Notebook Driven Development (proj01)
Outstanding ShinyUI: Shiny and modern web development & What to do next (shinyui02 28 29)
Devops for Data Science: Application Administration (do4ds02 10)
Fundamentals of Data Visualization: Use larger axis labels & Avoid line drawings (dataviz01 24 25)
Advanced R: OOP Introduction & Base types (advr10 12)
Outstanding User Interfaces with Shiny: Shiny and React with {reactR} (shinyui02 27)
Devops for Data Science: Linux Administration (do4ds02 9)
DataViz Fundamentals: Titles, captions, & tables + Balance the data & the context (dataviz01 22 23)
Advanced R: Function operators (advr10 11)
Fundamentals of Data Visualization: Redundant coding & Multi-panel figures (dataviz01 20 21)
Advanced R: Function factories (advr10 10)
Outstanding User Interfaces with Shiny: Design widgets & Fine tune {shinyMobile} (shinyui02 25 26)
Devops for Data Science: The Command Line (do4ds02 8)
Advanced R: Functionals (advr10 9)
Devops for Data Science: The Cloud (do4ds02 7)
DataViz Fundamentals: Handling overlapping points & Common pitfalls of color use (dataviz01 18 19)
Advanced R: Conditions (advr10 8)
Outstanding User Interfaces with Shiny: {shinyMobile} and PWA (shinyui02 24)
Devops for Data Science: Demystifying Docker (do4ds02 6)
Fundamentals of Data Visualization: The principle of proportional ink (dataviz01 17)
An Introduction to Statistical Learning with Applications in Python: Multiple Testing (islp03 13)
Advanced R: Environments (advr10 7)
pharmaverse Examples: teal applications (pharmaexamples01)
Outstanding User Interfaces with Shiny: Reconstruct {shinyMobile} (Part 2) (shinyui02 23)