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Related lectures (32)

Page 2 of 4

Equipment Key Users Module Presentation

Covers the presentation of the equipment key users module and its focus on planning, data loading, and integration tests.

Data Science: Python for Engineers - Part II

Explores data wrangling, numerical data handling, and scientific visualization using Python for engineers.

Data Warehousing: Overview and Challenges

Introduces data warehousing fundamentals, challenges, and the innovative concept of a 'lakehouse'.

Digital Urban History: Lausanne Time Machine

Explores the digital urban history of Lausanne in 1832, focusing on data intersection, search engine creation, and profession classification.

Data Science Innovations: Insights, Challenges, and Future

Explores advancements in data science, focusing on fast insights, data variety, and real-time intelligent data systems.

Data-Intensive Applications and Systems: Overview

Covers the exponential growth of data, challenges in processing technology, data variety, cleaning, approximate query processing, multi-query analytics, and hybrid transaction processing.

Building DH Portal: Data Platform for Researchers

Showcases Haeeun Kim's internship experience in enhancing researchers' data cleaning and organizing processes.

Data Wrangling: ETL Process and Wrangling Issues

Explores the ETL process, data wrangling stages, and common issues.

Elements of Collaborative Data Science

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

Temporality and Entity Resolution

Explores challenges in data temporality and techniques for entity resolution.