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Build a Data Science Portfolio

DataCamp, JupyterHub, MATLAB, Tableau, GitHub — the full stack from zero to job-ready.

6 steps

1DataCamp

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2JupyterHub (NYU)

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3Stata

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4MATLAB

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5GitHub Student Developer Pack

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6Tableau Student

Learn on DataCamp

Python, R, SQL courses with hands-on exercises.

ResourceFree$300/yr value

DataCamp

Learning Platforms

Learn Python, R, SQL, and machine learning by actually coding — not watching videos. Hands-on exercises with instant feedback. Career tracks for data science and ML. Free via NYU.

Access

Code on JupyterHub

NYU-hosted Jupyter notebooks — no setup needed.

SoftwareFree$500/yr value

JupyterHub (NYU)

Academic Software

Run Python, R, and Julia notebooks on NYU's supercomputer — no local setup. Pre-loaded with NumPy, Pandas, TensorFlow, PyTorch. Just log in and start coding.

Access

Analyze in Stata

Statistical analysis used in economics and social science.

Software$425/yr value

Stata

Academic Software

The stats software economists and social scientists actually use. Regressions, panel data, econometrics — if your professor mentions Stata, this is it. Free in NYU computer labs.

Access

Build a Data Science Portfolio

Learn on DataCamp

DataCamp

Code on JupyterHub

JupyterHub (NYU)

Analyze in Stata

Stata

Model in MATLAB

MATLAB

Ship on GitHub

GitHub Student Developer Pack

Visualize with Tableau

Tableau Student