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  1. Structured and Unstructured Data: Definitions and Differences

    Feb 28, 2025 · Unstructured data refers to data that does not follow a fixed format or predefined schema. It is often stored in raw form and requires specialized processing techniques to …

  2. What is Data? Definition, Classification, and Importance

    Mar 31, 2025 · Unstructured data lacks a specific format and does not fit neatly into traditional databases. It includes various types of content that require advanced processing techniques …

  3. 4 Types of Data - Nominal, Ordinal, Discrete, Continuous

    Nov 18, 2024 · Types of data: nominal, ordinal, discrete, and continuous data, which are mainly used in the data science industry

  4. What is Data? - Great Learning

    Unstructured data: Unstructured data is unorganized. I need to organize the data for analysis. Structured data: Structured data is organized and easier to manipulate. Data is a collection of …

  5. Learn Deep Learning With Python | Free Course With Certificate

    Deep Learning involves processing multiple layers from unstructured data, and the Python programming language helps you achieve this concept in a practical scenario.

  6. AI Course Syllabus / Curriculum for Artificial Intelligence Programs

    This module navigates the realm of unstructured data, focusing on natural language as an example and exploring applications of Natural Language Processing (NLP).

  7. What is Data Analytics? Definition, Types, Case Study, and More

    Jul 1, 2025 · Unstructured and raw data can be found in big data. Big data’s primary goal is to transform unstructured data into valuable data sets that may be used to derive insightful …

  8. Difference Between Data Analysis and Data Analytics

    Mar 4, 2025 · Data Analytics: It uses structured, semi-structured, and unstructured data from multiple sources like social media, IoT devices, images, videos, and big data platforms.

  9. ChatGPT for Data Analysts - Great Learning

    Aug 16, 2024 · Extract and structure relevant information from unstructured text data. Automate the process of data labeling, classification, and sentiment analysis. Generating Descriptive …

  10. How to Clean and Analyze Data with Pandas - Great Learning

    Aug 6, 2025 · You can use a few lines of code to clean up messy, unstructured data to give you clean and insightful datasets. In this tutorial, you will learn how to do pandas data cleaning and …