Terran ‣ Articles ‣ R DS with Dalgaard

This is a variant on the Data Science Curriculum for
Engineers which includes Peter Dalgaard's book for self-study. **Only the
statistics section** is shown in this document; refer to the primary document
for all other sections.

OpenIntro 1
Basic intro, about ½ of which is redundant with R4DS. Quick and easy.

OpenIntro 2
Probability. Nontrivial if this is your first time seeing it. Easy if you did it before.

OpenIntro 3
Distributions; very important. The most important distributions are the normal and binomial;
do not memorize the others.

Dalgaard 3
How to use those distributions in R. Short but very important.

OpenIntro 4
Confidence intervals and the central limit theorem. Important.

OpenIntro 5
Statistical tests for continuous data and power tests. Very important.

Dalgaard 5
How to do t tests in R. Very important; nobody does these by hand.

Dalgaard 9
How to do power tests in R; also important.

Dalgaard 7
ANOVA in R. Advanced; optional.

OpenIntro 6
Statistical tests for proportions (e.g. clicks) is very important. X^{2}
also useful; not critical.

Dalgaard 8
Proportion tests in R; important.

We do not use chapters 7 and 8 in OpenIntro Statistics