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Microsoft Excel is a popular spreadsheet application that is a part of the Microsoft Office Suite. Excel can be used for both data analysis and visualization. To get started, Microsoft has video tutorials on their website and there are many tutorials on LinkedIn Learning.
Microsoft Excel can be downloaded for free via the UIS webstore, or accessed on library computers.
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R is a free, open-source command-line driven program that can be used for data cleaning, analysis (including statistics), and visualization. R's uses are broad, with over 20,000 R packages to choose from, and can also include analysis of geospatial data and text manipulation. To get started, check out this guide from Modern Dive and the R for Data Science textbook. There are also many video tutorials for R on LinkedIn Learning.
R is available for free download here. RStudio, a popular interface for coding in R, is available for free download here. Note that you must install both R and RStudio to run R, and they must be installed sequentially (R first, RStudio second).
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Stata is a proprietary command-line driven statistics program. Stata can also support data manipulation, visualization, and automated reporting. Users can also run statistical tests through the graphical user interface and save the log and syntax. To get started, Stata has a resource guide for new users, as well as video tutorials on their website.
A Stata license can be requested for free via the UIS webstore, accessed on library computers, or accessed remotely through the Frame Virtual Computing Lab.
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SPSS is a proprietary statistics and complex data management program. SPSS can be appealing for beginners because there is the option to run analysis either using the point-and-click user interface, or by writing code using SPSS syntax. To get started, check out the tutorial on LinkedIn Learning and explore UCLA's SPSS guide.
SPSS can be accessed on library computers or remotely through the Frame Virtual Computing Lab.
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SAS is a proprietary, command-line driven statistical software suite that can be used for data analysis, data management, and artificial intelligence. SAS may be a good tool for you if you are working with very large datasets, or if you have familiarity with SQL.
SAS offers free tutorials to students via the SAS SkillBuilder for Students and educators via the SAS Educator Portal. At limited times throughout the year, SAS also offers free online live certification exam prep courses for students and educators - keep an eye on this site for when these courses open up. You can also check out LinkedIn Learning for on-demand tutorials.
A SAS license can be requested for free via the UIS webstore, accessed on library computers, or accessed remotely through the Frame Virtual Computing Lab.
Mathematica is a software system for technical computing, most commonly used in mathematical, scientific, engineering, and computing fields. To get started, check out the product training offered by Wolfram U, or the tutorial on LinkedIn Learning.
A Mathematica license can be requested for free via the UIS webstore, accessed on library computers, or accessed through the Frame Virtual Computing Lab.
Python is a free, flexible programming language used for a variety of tasks, including data analysis. Popular packages for numeric computing include SciPy, Pandas, and IPython. To get started, Anaconda has some tutorials on their website and there are many tutorials on LinkedIn Learning.
Python can be downloaded for free here. The Anaconda distribution, an all-in-one installer for Python that is good for data science beginners, is available for download here, or accessed on library computers. Google Colaboratory, a web-based interactive development environment, can also be accessed for free via your Georgetown Google account.
Matlab is a programming and numeric computing platform most commonly used by engineers and scientists. To get started, check out the free tutorials on the MathWorks website or a tutorial on LinkedIn Learning.
A Matlab license can be requested for free via the UIS webstore, accessed on library computers, or accessed remotely through the Frame Virtual Computing Lab.
Minitab is a statistics software package. To get started, check out the Getting Started guide from the Minitab website or a tutorial on LinkedIn Learning.
A Minitab license can be requested for free via the UIS webstore, accessed on library computers, or accessed remotely through the Frame Virtual Computing Lab.
Not sure what tool would work best for you? Want help getting started in a tool? Email digitalscholarship@georgetown.edu to set up a consultation.
This work is licensed under a Creative Commons Attribution NonCommercial 4.0 International License. | Details of our policy