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  2. 5 free resources every data scientist should start using today

    www.aol.com/5-free-resources-every-data...

    Before jumping into popular MOOCs or purchasing recommended books on Amazon, I started by subscribing to various data science and data engineering newsletters. 5 free resources every data ...

  3. 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]

  4. List of statistical software - Wikipedia

    en.wikipedia.org/wiki/List_of_statistical_software

    Pandas – High-performance computing (HPC) data structures and data analysis tools for Python in Python and Cython (statsmodels, scikit-learn) Perl Data Language – Scientific computing with Perl; Ploticus – software for generating a variety of graphs from raw data; PSPP – A free software alternative to IBM SPSS Statistics

  5. List of volunteer computing projects - Wikipedia

    en.wikipedia.org/wiki/List_of_volunteer...

    Data analysis, machine learning: Research in the various fields of data analysis and machine learning, such as prediction of market value of companies'shares and analysis of medical data [181] Yes DistrRTgen 2008-01-12 [182] 2014-06 [183] Independent [14] Cryptography: Analysis of hash strength for password security by developing rainbow tables ...

  6. Data & Analysis Center for Software - Wikipedia

    en.wikipedia.org/wiki/Data_&_Analysis_Center_for...

    The mission of DACS, like the other IACs in the DTIC IAC Program, is: . To improve the productivity of researchers, engineers, and program managers in the Defense research, development, and acquisition communities by collecting, analyzing, synthesizing, and disseminating worldwide scientific and technical information in clearly defined, specialized fields or subject areas.

  7. Data science - Wikipedia

    en.wikipedia.org/wiki/Data_science

    Data analysis focuses on extracting insights and drawing conclusions from structured data, while data science involves a more comprehensive approach that combines statistical analysis, computational methods, and machine learning to extract insights, build predictive models, and drive data-driven decision-making. Both fields use data to ...

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