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  2. Statistics Online Computational Resource - Wikipedia

    en.wikipedia.org/wiki/Statistics_Online...

    The Statistics Online Computational Resource (SOCR) [1] is an online multi-institutional research and education organization. SOCR designs, validates and broadly shares a suite of online tools for statistical computing, and interactive materials for hands-on learning and teaching concepts in data science, statistical analysis and probability theory.

  3. Exploratory data analysis - Wikipedia

    en.wikipedia.org/wiki/Exploratory_data_analysis

    In statistics, exploratory data analysis (EDA) ... Carnegie Mellon University – free online course on Probability and Statistics, with a module on EDA

  4. WorldQuant University - Wikipedia

    en.wikipedia.org/wiki/WorldQuant_University

    WorldQuant University's entirely-free, accredited, online MSc in Financial Engineering Program integrates mathematical, statistical, and computer science tools with finance theory and professional business skills. The two-year program consists of nine graduate-level courses and a Capstone course during which students complete a culminating project.

  5. Statistical Lab - Wikipedia

    en.wikipedia.org/wiki/Statistical_Lab

    The computer program Statistical Lab (Statistiklabor) is an explorative and interactive toolbox for statistical analysis and visualization of data. It supports educational applications of statistics in business administration , economics , social sciences and humanities .

  6. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]

  7. Free statistical software - Wikipedia

    en.wikipedia.org/wiki/Free_statistical_software

    There are a few reviews of free statistical software. There were two reviews in journals (but not peer reviewed), one by Zhu and Kuljaca [26] and another article by Grant that included mainly a brief review of R. [27] Zhu and Kuljaca outlined some useful characteristics of software, such as ease of use, having a number of statistical procedures and ability to develop new procedures.

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