Urban Restructuring in African Cities

Related lectures (31)

Page 3 of 4

Explores challenges in data assumptions, biases, and more in research, including incomplete write-ups and frustrations of newcomers.

Explores data modeling concepts, SQL implementations, and practical applications in handling missing data.

Covers best practices and guidelines for big data, including data lakes, typical architecture, challenges, and technologies used to address them.

Explores quantitative data sources, survey methods, and qualitative research techniques for comprehensive data collection in transportation planning.

Provides an overview of deep learning concepts, focusing on data, model architecture, and challenges in handling large datasets.

Explores transdisciplinarity in integrative research and sustainable landscape development.

Covers the fundamentals of big data ecosystems, focusing on technologies, challenges, and practical exercises with Hadoop's HDFS.

Explores data wrangling with Hadoop, emphasizing storage formats and Hive for big data processing.

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

Introduces the fundamentals of handling data, emphasizing the importance of Pandas and data modeling for effective analysis.