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From zero to prod with dplyr

Using dplyr the same code can scale from a few thousand rows, tens of thousands, to millions of rows all with very little changes. Learn about lazy tables, and backend agnostic coding.

scaling 3 hours

Deep dive with DuckDB

DuckDB is a fast, zero-dependency, in-process database made for data scientists. Lean on DuckDB's tight R integration to scale to larger-than-memory workloads.

databases 4.5 hours

Docker for data scientists

Docker containers standardize deployment ensuring consistent environments across different systems. You will know how to encapsulate your production code making it reproducible, scalable, and easier to automate.

deployment 6 hours