Free & open · CC BY-SA 4.0
A project-based course in Python for data analysis — Python foundations, pandas, NumPy/SciPy, plotting, and statistics, ending in six applied case studies drawn from Philippine engineering practice. Built for engineers who already have a technical foundation and want job-ready data skills on top of it.
from scipy import stats
# annual-max 1-day rainfall, mm — 30-yr record
loc, scale = stats.gumbel_r.fit(rain)
# design-storm depth by return period
for T in (2, 10, 50, 100):
d = stats.gumbel_r.ppf(1 - 1/T, loc, scale)
print(f"{T:>3}-yr {d:6.1f} mm")2-yr 203.0 mm 10-yr 300.8 mm 50-yr 386.5 mm 100-yr 422.8 mm ← design basis
└ modules 1–5 come before module 6 · finish each Knowledge Check before moving on
The optional coaching cohort adds Docker, SQL/PostgreSQL, Metabase, and Git on top of these modules — plus two self-sourced capstone projects, live sessions twice a week for five weeks, a private community, and a certificate.