What are the most common data types and
sources?
Content:
1. Different types of Data (Structured, unstructured, Semi-structured)
2. Sources of Data( Databases, spreadsheets, Sensors, web)
3. Data collection methods and consideration.
1. Different types of Data (structured, unstructured, & semi structured)
Data comes in various formats & understanding these formats is crucial for effective
data analysis. There are three main types of data:
1. Structured Data:
Structured Data refers to organized & well-formatted information stored in a
predefined manner. It fits neatly into rows & columns, making it highly suitable for
storage in databases & spreadsheets.
Examples include data in relational databases, Excel sheets & organized tables.
Structured data is easily queried, analyzed & processed using tools like SQL.
Structured Data
2. Unstructured Data:
Unstructured data is information that lacks a specific format or structure. It can be
textual, visual or audio-based & includes content like text documents, images,
videos, Social media posts & emails. Analyzing unstructured data can be challenging
due to its lack of predefined organizations but advanced techniques such as natural
language processing & image recognition are used to extract insights from this type
of data.
sources?
Content:
1. Different types of Data (Structured, unstructured, Semi-structured)
2. Sources of Data( Databases, spreadsheets, Sensors, web)
3. Data collection methods and consideration.
1. Different types of Data (structured, unstructured, & semi structured)
Data comes in various formats & understanding these formats is crucial for effective
data analysis. There are three main types of data:
1. Structured Data:
Structured Data refers to organized & well-formatted information stored in a
predefined manner. It fits neatly into rows & columns, making it highly suitable for
storage in databases & spreadsheets.
Examples include data in relational databases, Excel sheets & organized tables.
Structured data is easily queried, analyzed & processed using tools like SQL.
Structured Data
2. Unstructured Data:
Unstructured data is information that lacks a specific format or structure. It can be
textual, visual or audio-based & includes content like text documents, images,
videos, Social media posts & emails. Analyzing unstructured data can be challenging
due to its lack of predefined organizations but advanced techniques such as natural
language processing & image recognition are used to extract insights from this type
of data.
