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Related lectures (10)
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Building a Data Model to Support a Scientific Usecase
Explores building a data model for scientific usecases and the significance of tracking data origin and usage.
Google Analytics 4: Understand & set up GA4
Introduces Google Analytics 4 and guides on setting it up for WordPress websites, emphasizing key differences and event tracking.
Critical Data Studies: Introduction and Models
Introduces the Critical Data Studies course, covering data models, trust, reproducibility, biases, and ethics.
Autocorrelation and Periodicity
Explores autocorrelation, periodicity, and spurious correlations in time series data, emphasizing the importance of understanding underlying processes and cautioning against misinterpretation.
Design Thinking and Needs Assessment
Explores design thinking, needs assessment, context analysis, and data collection techniques for credible research.
Data Modeling: Concepts and Applications
Introduces data modeling concepts, SQL usage, and Pandas library applications for efficient data processing.
Data Management: Overview
Introduces fundamental concepts of data management, including data models, databases, and key tasks.
Understanding Data Models
Explores the significance of data models in scientific research and the challenges posed by big data.
Deep Learning: Data, Models, and Challenges
Provides an overview of deep learning concepts, focusing on data, model architecture, and challenges in handling large datasets.
DDL, DML, Views
Covers SQL data definition, manipulation, and views in databases.
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