Your Data Science Student Toolkit
A-Level / College • Windows
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.
Essential (2)
Core tools that are broadly useful.
Python
Notebooks
- JupyterLab
Open Source
Why you may need this: Explore data and share analysis.
Winget (verified)winget install --id ProjectJupyter.JupyterLab --exact --source winget
Recommended (3)
Useful for particular parts of the work or course.
Code Editor
Why you may need this: Edit scripts and notebooks.
Winget (verified)winget install --id Microsoft.VisualStudioCode --exact --source winget
SQL
- DBeaver Community
Open Source
Why you may need this: Query databases with SQL.
Visit Official Website
Research / Citation
ZoteroOpen SourceAlso on iPhone/iPad
Why you may need this: Organise sources and create a bibliography for coursework.
Visit Official Website
Specialist / Optional · Show specialist tools (3)
Consider these for particular modules, tasks or environments.
Visualisation
- Power BI Desktop
Free
Why you may need this: Build dashboards on Windows.
Winget (verified)winget install --id Microsoft.PowerBI --exact --source winget
Data Analysis
- R
Open Source
Why you may need this: Statistics with R.
Winget (verified)winget install --id RProject.R --exact --source winget - RStudio Desktop
Open Source
Why you may need this: An IDE for R.
Winget (verified)winget install --id Posit.RStudio --exact --source winget
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.