Concept

Data science

Related lectures (32)

Introduction to Data Stream Processing: Concepts and Applications

Covers the principles of data stream processing and its applications in real-time data analysis.

John Snow's Cholera Map

Explores Dr. John Snow's iconic cholera map and its impact on modern epidemiology through data visualization.

John Snow's Cholera Map

Explores Dr. John Snow's revolutionary cholera map and his lasting impact on modern epidemiology.

Data Visualization & Storytelling

Delves into data physicalization, expressiveness, feminist visualization, and the balance between exploration and explanation in data visualization.

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.

Data Science Fundamentals

Covers the fundamentals of data science, the scientific method evolution, the role of a data scientist, and the significance of data as the new oil.

Data Science with Python: Numpy Basics

Introduces the basics of Numpy, a numerical computing library in Python, covering advantages, memory layout, operations, and linear algebra functions.

Shedding light on lives with logs

Explores using log data to understand human behaviors, focusing on food consumption and social interactions.

Unsupervised Learning: Dimensionality Reduction and Clustering

Covers unsupervised learning, focusing on dimensionality reduction and clustering, explaining how it helps find patterns in data without labels.

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 Analysis: KMnO4 Concentrations

Covers the analysis of KMnO4 concentrations using data from a CSV file.