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July 18, 2022

Python and R for Data Science

Presented by Boyan Angelov

Tackle complex data projects with the best of both worlds Bilingual people tend to think in concepts rather than words. This allows them to be more creative when approaching diverse problems ...

July 28, 2022

CI/CD for Data Lakes

Presented by Adi Polak

Managing your data like code Today, data lakes offer many advantages for cloud users. Everyone who needs storage such as object store, s3, azure blob, etc., can leverage data lakes. They ...

August 10, 2022

Build a robust data pipeline with Airflow, dbt, and Great Expectations—with Interactivity

Presented by Sam Bail

Hands-on data validation in a modern data stack Data quality has become a much discussed topic in the fields of data engineering and data science, and it’s become clear that data ...

May 3, 10, 17, 24, 31 & June 7, 2022

Essential Math for Data Science in 6 Weeks—with Interactivity

Presented by Thomas Nield

Achieve practical math proficiency using Python With the availability of data, there is a growing demand for talent who can analyze and make sense of it. This makes practical math all ...

July 13, 2022

Data Mesh in Practice—with Interactivity

Presented by Max Schultze, Arif Wider

How to set the foundations for federated data ownership The data lake paradigm is often considered the scalable successor of the more curated data warehouse approach when it comes to democratization ...

June 17, 2022

Designing Data Pipelines—with Interactivity

Presented by Vinoo Ganesh

The nuts and bolts of designing stable, extensible, and scalable data pipelines The data pipeline has become a fundamental component of the data science, data analyst, and data engineering workflow. Pipelines ...