Slide 9
Slide 9 text
your
fi
rst data
visualization
+
R / RStudio,
R Markdown,
simple Git
fundamentals of data &
data viz,
confounding variables,
Simpson’s paradox,
tidy data,
recoding & transforming,
web scraping & iteration
+
collaboration on GitHub
ethical
considerations
around
misrepresentation of
data, relying on ML
algorithms and the
biases they might
carry, privacy of one’s
own data and
reusing others’ data
building & selecting
models,
visualising interactions,
prediction & validation,
inference via simulation
choose your own
adventure:
text analysis,
Bayesian
inference,
Interactive
visualization and
reporting
+
communication &
dissemination