Lecture_2 | Structured vs Unstructured Data | Data Collection, Labeled & Unlabeled Data | Metadata

Are you new to data science or looking to deepen your understanding of data types and collection methods? This video breaks down essential concepts like structured and unstructured data, how we collect data in different environments, the difference between labeled and unlabeled data, and the critical role of metadata in organizing and interpreting information.

Topics Covered:

Structured vs. Unstructured Data: Understand the fundamental difference between structured data (organized, formatted data like databases) and unstructured data (text, images, videos) and how each plays a unique role in data science.

Data Collection Methods: Explore various data collection methods such as surveys, web scraping, IoT devices, and sensors, and learn how each method helps us gather diverse types of data.

Labeled vs. Unlabeled Data: Learn the importance of labeled data in supervised learning and how unlabeled data is used in unsupervised and semi-supervised learning. Real-world examples clarify when and why we label data.

What is Metadata? Discover how metadata, or "data about data," provides essential context, enhances data usability, and is key for data discovery, management, and analysis.