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Introduction to Machine Learning: Course Overview and Basics
Introduces the course structure and fundamental concepts of machine learning, including supervised learning and linear regression.
Data Visualization & Storytelling
Delves into data physicalization, expressiveness, feminist visualization, and the balance between exploration and explanation in data visualization.
Data Wrangling with Hive: Managing Big Data Efficiently
Covers data wrangling techniques using Apache Hive for efficient big data management.
Biomechanics: Velocity Analysis
Explores the analysis of velocity data in biomechanics using Excel for visualization and interpretation.
Big Data: Best Practices and Guidelines
Covers best practices and guidelines for big data, including data lakes, typical architecture, challenges, and technologies used to address them.
Collaborative Data Science: Tools and Techniques
Introduces collaborative data science tools like Git and Docker, emphasizing teamwork and practical exercises for effective learning.
Data Science: Python for Engineers - Part II
Explores data wrangling, numerical data handling, and scientific visualization using Python for engineers.
Regulations: Figures of Regulations
Covers the analysis of ECG heart rate data and respiratory flow measurements using Excel.
Confounding Effects in Spatial Epidemiology
Explores controlling for confounding variables in spatial epidemiology to isolate specific health factors and discusses methods for adjustment.
Digital Humanities Workflow
Explores the workflow in Digital Humanities, emphasizing data collection and visualization.