Data Sciences Workspace

  • Anaconda and Python

    Python is an open-source, object-oriented programming language, particularly well-suited for scientific computing because of its extensive ecosystem of scientific libraries and environments. For more information, see the Python FAQ page and the Python Numeric and Scientific Wiki.


    Last modified date: Fri, 08/02/2019 - 12:08pm
  • ArcGIS Desktop

    Provides basic tools to analyze your data and author geographic knowledge to examine relationships, test predictions, and ultimately make better decisions.


    Last modified date: Wed, 12/04/2019 - 12:59pm
  • ArcGIS Pro

    Supports data visualization, advanced analysis and authoritative data maintenance in both 2D and 3D. ArcGIS Pro supports data sharing across ArcGIS Online and ArcGIS Enterprise through Web GIS.


    Last modified date: Wed, 12/04/2019 - 12:55pm
  • ArcGIS Spatial Analysis

    Provides advanced spatial modeling and analysis tools. It helps with modeling terrains, finding suitable locations and routes, discovering spatial patterns, and performing hydrologic and statistical analysis.


    Last modified date: Wed, 12/04/2019 - 12:58pm
  • Cytoscape

    Cytoscape is a free, open source visualization tool for modeling complex networks and integrating network points with attribute data.  Cytoscape can create visualizations of a variety of different types of networks, including molecular and genetic, social networks, and semantic Web.  Adding free plugins to Cytoscape also provides functionality including literature mining, network inference, topological clustering, and network comparison. 


    Last modified date: Fri, 03/06/2020 - 9:57am
  • Inkscape

    Inkscape is a free, open-source graphics program for creating and editing images in a variety of formats suitable for print and web use.  Inkscape's features make it similar to Adobe Illustrator, Adobe Photoshop, and CorelDRAW.


    Last modified date: Fri, 08/27/2021 - 4:48pm
  • JMP (Statistics software)

    JMP is the data analysis tool of choice for hundreds of thousands of scientists, engineers and other data explorers worldwide. Users leverage powerful statistical and analytic capabilities in JMP to discover the unexpected. With JMP you can perform data analysis, data acquisition and cleanup, data visualization, reliability analysis, text exploration, statistical modeling, and it integrates with SAS, MATLAB, and R.


    Last modified date: Fri, 08/27/2021 - 4:46pm
  • MATLAB

    MATLAB (matrix laboratory) is a multi-paradigm numerical computing environment. MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages, including C, C++, C#, Java, Fortran and Python.

     

    The full MATLAB package includes:


    Last modified date: Thu, 05/06/2021 - 12:11pm
  • OpenRefine

    OpenRefine (formerly known as Google Refine) is a free, open source tool for working with messy data.  With OpenRefine, users can process and clean their data, save to different formats, and upload to participating databases.  To learn more, visit the OpenRefine homepage.


    Last modified date: Tue, 07/31/2018 - 4:43pm
  • R and RStudio

    R and R Studio are useful for a wide variety of data manipulation, analysis, and visualization tasks.


    Last modified date: Tue, 03/19/2019 - 4:51pm

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