Observation Methods in Social Sciences

Related lectures (31)

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Covers research methodology, including journal production, anthropology, ethnography, survey methods, and digital studies.

Explores the evolution from data analysis to AI and ML, emphasizing big data, machine learning, and social media interaction.

Introduces Google Analytics 4 and guides on setting it up for WordPress websites, emphasizing key differences and event tracking.

Introduces the basics of machine learning, covering supervised and unsupervised learning, linear regression, and data understanding.

Explores systemic environmental assessment, national material flow analysis, and urban metabolism dashboard development for Zurich using open data.

Introduces the Critical Data Studies course, covering data models, trust, reproducibility, biases, and ethics.

Covers data wrangling techniques using Apache Hive for efficient big data management.

Covers the essentials of data science, including data handling, visualization, and analysis, emphasizing practical skills and active engagement.

Emphasizes specificity in defining variables and the importance of incorporating intermediate variables in educational studies.

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