Data Science 5: Part 1 Structured vs Unstructured Data Analysis

This is part 1 of two videos where we are addressing the different types of data that data scientists work with, such as structured and unstructured data. Data can come in either structured or unstructured.

Structured data is data that is organized in a specific way. It's easy to read and analyze because it's stored in tables or databases.

Unstructured data, is data that doesn't fit neatly into rows and columns like structured data does. It can be things like images, social media posts, audio and video files.

Topics:
- How data scientists analyse these unstructured Data?
- What are the unstructured Data Analysis Goals & Techniques?
- What are the unstructured Data Analysis Challenges?
- What are the tools and techniques data scientists use to analyse unstructured Data?
- What are the examples of software and tools to work with unstructured data?