LABLOOP · THE DECK

455 CARDS · 41 WEEKS · EVERY SOURCE THE PLAN NAMES

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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.

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

10 cards shown. Stashes: LABLOOP-W00 Notebook (15) LABLOOP-W01 Notebook (18) LABLOOP-W02 Notebook (15) LABLOOP-W03 Notebook (19) LABLOOP-W04 Notebook (17) LABLOOP-W05 Notebook (16) LABLOOP-W06 Notebook (12) LABLOOP-W07 Notebook (12) LABLOOP-W08 Notebook (15) LABLOOP-W09 Notebook (10) LABLOOP-W10 Notebook (11) LABLOOP-W11 Notebook (12) LABLOOP-W12 Notebook (12) LABLOOP-W13 Notebook (13) LABLOOP-W14 Notebook (12) LABLOOP-W15 Notebook (10) LABLOOP-W16 Notebook (14) LABLOOP-W17 Notebook (13) LABLOOP-W18 Notebook (10) LABLOOP-W19 Notebook (10) LABLOOP-W20 Notebook (10) LABLOOP-W21 Notebook (13) LABLOOP-W22 Notebook (10) LABLOOP-W23 Notebook (9) LABLOOP-W24 Notebook (9) LABLOOP-W25 Notebook (12) LABLOOP-W26 Notebook (11) LABLOOP-W27 Notebook (10) LABLOOP-W28 Notebook (6) LABLOOP-W29 Notebook (7) LABLOOP-W30 Notebook (10) LABLOOP-W31 Notebook (8) LABLOOP-W32 Notebook (5) LABLOOP-W33 Notebook (13) LABLOOP-W34 Notebook (12) LABLOOP-W35 Notebook (10) LABLOOP-W36 Notebook (8) LABLOOP-W37 Notebook (7) LABLOOP-W38 Notebook (6) LABLOOP-W39 Notebook (6) LABLOOP-W40 Notebook (6)

1/10 Read 15 min W30 Tuesday Biology

Ho et al. (2019), "Moving beyond P values: data analysis with estimation graphics"

Ho et al. (2019), "Moving beyond P values: data analysis with estimation graphics", Nature Methods 16:565-566 (15 min)

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In: LABLOOP-W30 Notebook

2/10 Read 30 min W30 Tuesday Biology

Cumming (2014) "The new statistics"

Tuesday · after Ho et al. (2019), "Moving beyond P values: data analysis with estimation graphics"

Cumming (2014) "The new statistics" (carry over), sections on small samples (30 min)

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In: LABLOOP-W30 Notebook

3/10 Watch 15 min? W30 Tuesday Biology

StatQuest "Statistical Power"

Tuesday · after Cumming (2014) "The new statistics"

StatQuest "Statistical Power" (carry over)

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In: LABLOOP-W30 Notebook

4/10 Run 30 min? W30 Saturday Sandbox optional

Vaux, Fidler & Cumming (2012), "Replicates and repeats—what is the difference and is it signific…

Saturday sandbox

Vaux, Fidler & Cumming (2012), "Replicates and repeats—what is the difference and is it significant?", EMBO Reports 13:291-296

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In: LABLOOP-W30 Notebook

5/10 Read 30 min? W30 Saturday Sandbox optional

Coursera Introduction to Statistics

Saturday sandbox · after Vaux, Fidler & Cumming (2012), "Replicates and repeats—what is the difference and is it signific…

Coursera Introduction to Statistics (Stanford), module on small-sample inference

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In: LABLOOP-W30 Notebook

6/10 Read 20 min W30 Craft

Weissgerber et al. (2015), "Beyond bar and line graphs: time for a new data presentation paradigm"

Weissgerber et al. (2015), "Beyond bar and line graphs: time for a new data presentation paradigm", PLoS Biology 13(4):e1002128 (20 min)

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In: LABLOOP-W30 Notebook

7/10 Run 30 min W30 Build

ACCLAB/DABEST-python

Estimation plots (Gardner-Altman) for measured activity vs control; the library from Ho et al. 2019

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In: LABLOOP-W30 Notebook

8/10 Run 30 min W30 Build

mwaskom/seaborn

Strip plots with every replicate over the predicted ranking

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In: LABLOOP-W30 Notebook

9/10 Run 30 min W30 Build

arviz-devs/arviz

If you fit a small Bayesian model, plot posteriors per candidate

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In: LABLOOP-W30 Notebook

10/10 Run 30 min W30 Build

lmfit/lmfit-py

Run the frozen week 24 analysis script on the real data, unchanged

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In: LABLOOP-W30 Notebook

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