Introduction to Data Analytics
Data is a collection of facts and figures, structured and unstructured raw data. The unprocessed and unorganized data is analyzed with the help of certain tools using Machine Learning. The process in which all kinds of raw data is analyzed and stored in the secondary device is called
Data Analytics
Types Of Data
- Structured data - Data stored in the form of rows and columns is called as structured data or arranged data.
- Unstructured data - Data of Different forms like image, text, video, documents...etc This data is randomly arranged.
- Qualitative data - This data is something that refers to the quality of data like the colors, texture, and feels of objects.
- Quantitive data - It is data that refers to a number, size, price...etc
- Discrete data - This data is numerical data that has gaps in it. This data can be a whole number.
- Continuous data - It is numerical data with a continuous range without gaps in between.
This comment has been removed by the author.
ReplyDeleteData Analytics is an essential asset for all businesses. Clients can use big data analytics to analyze business activities. Data science marketplace helps both data science vendors and clients or data science vendors.
ReplyDelete