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  2. Exploratory data analysis - Wikipedia

    en.wikipedia.org/wiki/Exploratory_data_analysis

    Exploratory data analysis is an analysis technique to analyze and investigate the data set and summarize the main characteristics of the dataset. Main advantage of EDA is providing the data visualization of data after conducting the analysis.

  3. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Data analysis is the process of ... performing the data analysis may consider these messages during the course of the process. ... free software for data analysis ...

  4. Free statistical software - Wikipedia

    en.wikipedia.org/wiki/Free_statistical_software

    Many other free to use programs were designed specifically for particular functions, like factor analysis, power analysis in sample size calculations, classification and regression trees, or analysis of missing data. Many of the free to use packages are fairly easy to learn, using menu systems. Many others are command-driven.

  5. Data science - Wikipedia

    en.wikipedia.org/wiki/Data_science

    Topological data analysis (TDA) is a mathematical framework that uses tools from topology, including algebraic, differential, and geometric topology, to study the shape and structure of data. In summary, data analysis and data science are distinct yet interconnected disciplines within the broader field of data management, analysis, and mathematics.

  6. Analytics - Wikipedia

    en.wikipedia.org/wiki/Analytics

    Data analysis focuses on the process of examining past data through business understanding, data understanding, data preparation, modeling and evaluation, and deployment. [8] It is a subset of data analytics, which takes multiple data analysis processes to focus on why an event happened and what may happen in the future based on the previous data.

  7. Massive open online course - Wikipedia

    en.wikipedia.org/wiki/Massive_open_online_course

    Kris Olds (2012) argues that the "territorial" dimensions of MOOCs [171] have received insufficient discussion or data-backed analysis, namely: 1. the true geographical diversity of enrolls in/completes courses; 2. the implications of courses scaling across country borders, and potential difficulties with relevance and knowledge transfer; and 3 ...

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