455 CARDS · 41 WEEKS · EVERY SOURCE THE PLAN NAMES

Everything you could
study, filtered.

Every video, chapter, paper and repository in the programme, as one card each, with the time it costs and why it is there. Filter by how long you have.

Type Watch Read Run Track Biology AI & stats Build Craft Depth Core Optional Time ≤15 ≤30 ≤60 Week This week Clear all

1/20 Read 30 min? W03 Monday Craft

NIST/SEMATECH e-Handbook of Statistical Methods

Monday build block

The public, citable reference for the limits you compute on Monday. Phase I vs Phase II is the distinction that stops you fooling yourself

Read exactly: 6.3.4 What are multivariate control charts? → 6.5.4.3 Hotelling's T² → 6.5.4.3.6 Constructing multivariate charts

Produce: The limit formula, with its source URL, in a comment above the code that implements it

Find it ↗ search

In: LABLOOP-W03 Notebook

2/20 Read 30 min? W03 Monday Craft

NIST/SEMATECH e-Handbook ch. 6.5 "Tutorials: multivariate control charts"

Monday build block · after NIST/SEMATECH e-Handbook of Statistical Methods · Read it inside Monday's build block

Build-block reading · NIST/SEMATECH e-Handbook ch. 6.5 "Tutorials: multivariate control charts" — https://www.itl.nist.gov/div898/handbook/pmc/section3/pmc34.htm (sections 6.3.4 and 6.5.4.3)

Open ↗

In: LABLOOP-W03 Notebook

3/20 Read 30 min? W03 Tuesday Craft

OpenStax Microbiology, ch. 9 "Microbial Growth"

Tuesday · B3

You will discover your week-01 Monod model already explains the log phase — and what it does not explain

Read exactly: The growth-curve section only (lag, log, stationary, death). Oxygen, temperature and pH are parked

Produce: notes/bio/B3.md + a hand-drawn growth curve photographed into the notes

Open ↗

In: LABLOOP-W03 Notebook

4/20 Read 30 min? W03 Wednesday Craft

erdogant/pca README

Wednesday build block

A second implementation to compare against. Compare numbers, never copy them without understanding

Read exactly: The Hotelling T² / SPE outlier section

Produce: One line in review.md: do your limits agree with theirs, and if not, why

Open ↗

In: LABLOOP-W03 Notebook

5/20 Watch 17 min W03 Thursday Craft

3Blue1Brown · "Eigenvectors and eigenvalues"

Thursday · M3 · Thursday, first

Produce: One sentence in notes/ml/M3.md: what last Friday's principal components actually are

Open ↗

6/20 Watch 7 min W03 Thursday Craft

StatQuest · "Machine Learning Fundamentals: Bias and Variance"

Thursday · M3 · after 3Blue1Brown · "Eigenvectors and eigenvalues" · Thursday, after V4

Produce: The bias-variance sentence in notes/ml/M3.md

Open ↗

In: LABLOOP-W03 Notebook

7/20 Watch 13 min W03 Thursday Craft

StatQuest · "Linear Regression, Clearly Explained!!!"

Thursday · M3 · after StatQuest · "Machine Learning Fundamentals: Bias and Variance" · Thursday, after V2

Produce: One regression fitted on two IndPenSim variables and read aloud: slope, intercept, what it means

Open ↗

In: LABLOOP-W03 Notebook

8/20 Watch 15 min? W03 Saturday Sandbox optional

ISLP

Saturday sandbox

ISLP ch. 2 and 3.1-3.3 — statlearning.com (free PDF) + the matching Stanford Statistical Learning with Python videos. Moved out of core on 2026-09-29

Open ↗

In: LABLOOP-W03 Notebook

9/20 Read 30 min? W03 Saturday Sandbox optional

Nomikos & MacGregor (1995), "Multivariate SPC charts for monitoring batch processes"

Saturday sandbox · after ISLP

Nomikos & MacGregor (1995), "Multivariate SPC charts for monitoring batch processes", Technometrics 37(1):41-59 — the founding paper of batch MSPC. Read abstract + figures

Find it ↗ search

In: LABLOOP-W03 Notebook

10/20 Read 30 min? W03 Saturday Sandbox optional

Kourti & MacGregor (1995), "Process analysis, monitoring and diagnosis, using multivariate proje…

Saturday sandbox · after Nomikos & MacGregor (1995), "Multivariate SPC charts for monitoring batch processes"

Kourti & MacGregor (1995), "Process analysis, monitoring and diagnosis, using multivariate projection methods", Chemometrics and Intelligent Laboratory Systems 28:3-21 (verify)

Find it ↗ search

In: LABLOOP-W03 Notebook

11/20 Watch 15 min? W03 Saturday Sandbox optional

Crash Course Statistics

Saturday sandbox · after Kourti & MacGregor (1995), "Process analysis, monitoring and diagnosis, using multivariate proje…

Crash Course Statistics (YouTube), episodes on the normal distribution and control charts' ancestor, the z-score

Find it ↗ search

In: LABLOOP-W03 Notebook

12/20 Read 30 min? W03 Saturday Sandbox optional

James, Witten, Hastie, Tibshirani & Taylor, An Introduction to Statistical Learning with Applica…

Saturday sandbox · after Crash Course Statistics

James, Witten, Hastie, Tibshirani & Taylor, An Introduction to Statistical Learning with Applications in Python — free PDF at statlearning.com — Ch. 2 (whole) and 3.1-3.3 only. Moved out of core on 2026-09-29

Open ↗

In: LABLOOP-W03 Notebook

13/20 Watch 15 min? W03 Saturday Sandbox optional

Stanford Online · Statistical Learning with Python

Saturday sandbox · after James, Witten, Hastie, Tibshirani & Taylor, An Introduction to Statistical Learning with Applica…

Stanford Online · Statistical Learning with Python (Hastie, Tibshirani et al.) — Playlist: youtube.com/playlist?list=PLoROMvodv4rPP6braWoRt5UCXYZ71GZIQ · course page: online.stanford.edu/courses/sohs-ystatslearningp-statistical-learning-python. Moved out of core on 2026-09-29

Open ↗

In: LABLOOP-W03 Notebook

14/20 Run 30 min? W03 Saturday Sandbox optional

Nomikos P. & MacGregor J.F., "Multivariate SPC Charts for Monitoring Batch Processes", Technomet…

Saturday sandbox · after Stanford Online · Statistical Learning with Python

Nomikos P. & MacGregor J.F., "Multivariate SPC Charts for Monitoring Batch Processes", Technometrics 37(1):41-59, 1995. DOI 10.1080/00401706.1995.10485888 · author PDF mirror: three-mode.leidenuniv.nl/pdf/n/nomikosmacgregor1995tmet.pdf. The founding paper of batch MSPC — abstract and figures are enough. Cite it in week 08's report

Open ↗

In: LABLOOP-W03 Notebook

15/20 Read 30 min? W03 Saturday Sandbox optional

Kourti T. & MacGregor J.F., "Process analysis, monitoring and diagnosis, using multivariate proj…

Saturday sandbox · after Nomikos P. & MacGregor J.F., "Multivariate SPC Charts for Monitoring Batch Processes", Technomet…

Kourti T. & MacGregor J.F., "Process analysis, monitoring and diagnosis, using multivariate projection methods", Chemometrics and Intelligent Laboratory Systems 28:3-21, 1995. (verify)

Find it ↗ search

In: LABLOOP-W03 Notebook

16/20 Run 30 min? W03 Saturday Sandbox optional

salvadorgarciamunoz/pyphi

Saturday sandbox · after Kourti T. & MacGregor J.F., "Process analysis, monitoring and diagnosis, using multivariate proj…

salvadorgarciamunoz/pyphi — a pharma practitioner's PCA/PLS with T² and SPE. Niche, but written by someone who does this for a living

Open ↗

In: LABLOOP-W03 Notebook

17/20 Read 30 min? W03 Saturday Sandbox optional

Coursera Introduction to Statistics

Saturday sandbox · after salvadorgarciamunoz/pyphi

Coursera Introduction to Statistics (Stanford, Walther), regression module — coursera.org/learn/stanford-statistics, free audit. Only if ISLP ch. 3 feels steep

Open ↗

In: LABLOOP-W03 Notebook

18/20 Run 30 min W03 Build

intro-stat-learning/ISLP_labs

Colab: Ch02-statlearn-lab.ipynb, then Ch03-linreg-lab.ipynb; redo the regression on two IndPenSim variables

Open ↗

In: LABLOOP-W03 Notebook

19/20 Run 30 min W03 Build

erdogant/pca

Its README shows Hotelling T² and SPE outlier detection on top of PCA; run the example, then compare its limits with yours (never ship its numbers without understanding them)

Open ↗

In: LABLOOP-W03 Notebook

20/20 Run 30 min W03 Build

statsmodels/statsmodels

Fit an OLS on two variables and read the summary table line by line with ISLP ch. 3 open

Open ↗

In: LABLOOP-W03 Notebook