Renku: Collaborative Data Science

Related lectures (32)

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Explores sizing reservoirs and dams using cumulative flow curves and tank dimensioning for dry and rainy periods.

Covers the setup of a Gitlab agent for Kubernetes, focusing on installation, version control, and troubleshooting.

Explores density operator matrix transformation in quantum physics and the implications of measuring the system, leading to state collapse.

Covers the theory and applications of collision kinetics in understanding molecular interactions.

Covers data wrangling techniques using Hadoop, focusing on row versus column-oriented databases, popular storage formats, and HBase-Hive integration.

Introduces collaborative data science tools like Jupyter notebooks, Docker, and Git, emphasizing data versioning and containerization.

Introduces a course on Genetics & Genomics, focusing on R programming with interactive exercises.

Introduces the CS411 Class Project, where students design and test a lesson using learning theories.

Covers the basics of creating and customizing charts in Excel.

Covers amplitude shift keying and various data analysis techniques using Jupyter Notebooks.