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Your Data Science Student Toolkit

Undergraduate • macOS

Python, notebooks, SQL, visualisation and research tools for data science students.

Who this toolkit is for

For data science students working with data, statistics and models.

What computer do you use?WindowsmacOSLinuxChromebookNot sure

Essential (3)

Core tools that are broadly useful.

Python

  • Python icon
    Python

    Open Source

    Why you may need this: Analyse data with libraries such as pandas.

    Homebrew (verified)
    brew install python@3.13

    Details

Notebooks

  • JupyterLab icon
    JupyterLab

    Open Source

    Why you may need this: Explore data and share analysis.

    Homebrew (verified)
    brew install jupyterlab

    Details

Research / Citation

  • Zotero icon
    Zotero

    Open SourceAlso on iPhone/iPad

    Why you may need this: Organise research sources and generate citations for coursework and dissertations.

    Homebrew (verified)
    brew install --cask zotero

    Details

Specialist / Optional · Show specialist tools (3)

Consider these for particular modules, tasks or environments.

Data Analysis

  • R

    Open Source

    Why you may need this: Statistics with R.

    Homebrew (verified)
    brew install r

    Details

  • RStudio Desktop

    Open Source

    Why you may need this: An IDE for R.

    Homebrew (verified)
    brew install --cask rstudio

    Details

Containers

  • Why you may need this: Reproducible environments.

    Homebrew (verified)
    brew install --cask docker-desktop

    Details

Course requirements vary. Software requirements differ between schools, colleges, universities and modules. Check your course materials before purchasing software.

Build your student setup

Build My Setup lets you add or remove apps, see why each is included and, where verified packages exist, get one install command. Nothing is installed automatically.

Build my Data Science setup

Where could this lead?

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