Update index.qmd

data-analytics-ws2324 · Nov 10, 2023 · db37e44 · db37e44
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commit db37e44
Showing 1 changed file with 38 additions and 19 deletions.
diff --git a/index.qmd b/index.qmd
@@ -9,6 +9,7 @@ Welcome to our course Data Analytics with Statistics! 👋
  Note that this schedule will be updated as the seminar progresses.
 :::
 
+
 Nr.	|	Topic	|	Literature	|		Slides		|	Links	|		Code		|	Lecture/Online	|
 ---	|	---	|	---	|		---		|	---	|		---		|	---	|
 	|	**Introduction**	|		|				|		|				|		|
@@ -22,27 +23,45 @@ Nr.	|	Topic	|	Literature	|		Slides		|	Links	|		Code		|	Lecture/Online	|
 	|	**Data**	|		|				|		|				|		|
 8	|	First Data Analysis	|	[📚](https://openintro-ims.netlify.app/data-hello.html#case-study-stents-strokes)	|		[📑](https://docs.google.com/presentation/d/1YXoCWZv37c3u_cMBc3o2_IG_atDlGdLhCwin_Rciwck/export/pdf)		|		|		[💻](https://colab.research.google.com/github/kirenz/lab-ims/blob/main/ae/1_netflix.ipynb)		|	L	|
 9	|	Data basics	|	[📚](https://openintro-ims.netlify.app/data-hello.html#data-basics)	|		[📑](https://docs.google.com/presentation/d/1IlR_HTTNE865xiT3GlXD5_RNZDMMtlbNKRftLXPPmsw/export/pdf)		|	[☑️](https://forms.gle/EJT7mcYgPi8drKgR9)	|				|	L	|
-10	|	How to obtain data	|		|	<!--	[📑](https://docs.google.com/presentation/d/1zldRDAOqmjoJmY_D4-ZkWfhwaklt-UfAPKH4G5kmFVY/export/pdf)	-->	|		|				|		|
-11	|	Data wrangling: Pandas lab	|	[📚](https://pandas.pydata.org/docs/)	|	<!--	[💻](https://kirenz.github.io/lab-pandas-intro)	-->	|		|				|		|
-12	|	Data analysis: Survey lab	|		|	<!--	[💻](https://kirenz.github.io/lab-survey)	-->	|		|				|		|
-	|	**Study Design**	|		|	<!--		-->	|		|				|		|
+10	|	How to obtain data	|		|		[📑](https://docs.google.com/presentation/d/1zldRDAOqmjoJmY_D4-ZkWfhwaklt-UfAPKH4G5kmFVY/export/pdf)		|		|				|		|
+11	|	Data wrangling: Pandas lab	|	[📚](https://pandas.pydata.org/docs/)	|		[💻](https://kirenz.github.io/lab-pandas-intro)		|		|				|		|
+12	|	Data analysis: Survey lab	|		|		[💻](https://kirenz.github.io/lab-survey)		|		|				|		|
+	|	**Study Design**	|		|				|		|				|		|
 13	|	Population and sample	|	[📚](https://openintro-ims.netlify.app/data-design.html#data-design)	|	<!--	[📑](https://docs.google.com/presentation/d/1QPdxp5sFumf9zee-WypsuzSkY7n_hvkhFsdJkRF3-pw/export/pdf)	-->	|	[☑️](https://forms.gle/qPYg55ncRyUGCqXH8)	|				|		|
 14	|	Sampling methods	|	[📚](https://openintro-ims.netlify.app/data-design.html#sampling-principles-strategies)	|	<!--	[📑](https://docs.google.com/presentation/d/1Rby9NR9F8pu1xHka0Xt1vvbH-oDRfrFC-bwb49IbhA8/export/pdf)	-->	|	[☑️](https://forms.gle/SnQsTPKF5CRQ1Wa49)	|				|		|
 15	|	Experiments	|	[📚](https://openintro-ims.netlify.app/data-design.html#experiments)	|	<!--	[📑](https://docs.google.com/presentation/d/1FTNBLYBCId2qsL1sMJf3qgBtaFH3hpbUm8lPck5BaTQ/export/pdf)	-->	|	[☑️](https://forms.gle/6Tu92Ez83XANW8Un6)	|				|		|
 16	|	Observations	|	[📚](https://openintro-ims.netlify.app/data-design.html#observational-studies)	|	<!--	[📑](https://docs.google.com/presentation/d/1Oz5T_nuO1UFcjbliFmsEQWxG1dKJHDPPNWDeTvukxbE/export/pdf)	-->	|	[☑️](https://forms.gle/V36KmsTjeH2finms9)	|				|		|
 	|	**EDA with categorical data**	|		|	<!--		-->	|		|				|		|
-17	|	Loans data	|	[📚](https://openintro-ims.netlify.app/explore-categorical.html#explore-categorical)	|	<!--	[📑](https://docs.google.com/presentation/d/1o0TVpTvndPA1J23CdTtEThYSekjudkGXuW9HiEA65yc/export/pdf)	-->	|		|	<!--	[💻](https://colab.research.google.com/github/kirenz/lab-altair/blob/main/ae/04-1-data-overview.ipynb)	-->	|		|
-18	|	Contingency tables	|	[📚](https://openintro-ims.netlify.app/explore-categorical.html#contingency-tables-and-bar-plots)	|	<!--	[📑](https://docs.google.com/presentation/d/1xIfx5wWjSi2ciGDo3OcYmjOYWzQZ5jWC-UwqioKKO6k/export/pdf)	-->	|		|	<!--	[💻](https://colab.research.google.com/github/kirenz/lab-altair/blob/main/ae/04-1-contingency-table.ipynb)	-->	|		|
-19	|	Contingency tables with proportions	|	[📚](https://openintro-ims.netlify.app/explore-categorical.html#row-and-column-proportions)	|	<!--	[📑](https://docs.google.com/presentation/d/1fY1jRrnluZg9MDei9hcdtCRmRXlUqCg6lonQVzkItPQ/export/pdf)	-->	|		|	<!--	[💻](https://colab.research.google.com/github/kirenz/lab-altair/blob/main/ae/04-3-row-column-proportions.ipynb)	-->	|		|
-20	|	Simple bar chart	|	[📚](https://openintro-ims.netlify.app/explore-categorical.html#contingency-tables-and-bar-plots)	|	<!--	[📑](https://docs.google.com/presentation/d/1RpYvnIxE5QCK3-urCa76CHUvDqOKlFb7TdAn6XgYjew/export/pdf)	-->	|	[💽 loan50.csv](https://raw.githubusercontent.com/kirenz/datasets/master/loan50.csv)	|	<!--	[💻](https://colab.research.google.com/github/kirenz/lab-altair/blob/main/ae/04-1-bar-chart-altair.ipynb)	-->	|	L	|
-21	|	Stacked bar plot	|	[📚](https://openintro-ims.netlify.app/explore-categorical.html#bar-plots-with-two-variables)	|	<!--	[📑](https://docs.google.com/presentation/d/1TU5pqJqfgzcBRitDtSxjdRPhwl2TM9Rt3u3FHTPT020/export/pdf)	-->	|	[💽 loan50.csv](https://raw.githubusercontent.com/kirenz/datasets/master/loan50.csv)	|	<!--	[💻](https://colab.research.google.com/github/kirenz/lab-altair/blob/main/ae/04-2-stacked-bar-chart-altair.ipynb)	-->	|	L	|
-22	|	Standardized bar plot	|	[📚](https://openintro-ims.netlify.app/explore-categorical.html#bar-plots-with-two-variables)	|	<!--	[📑](https://docs.google.com/presentation/d/1BV7XwkZLfTMe5acsDomL3pcSsNhatpswRa11XuzNuLQ/export/pdf)	-->	|	[💽 loan50.csv](https://raw.githubusercontent.com/kirenz/datasets/master/loan50.csv)	|	<!--	[💻](https://colab.research.google.com/github/kirenz/lab-altair/blob/main/ae/04-2-standardized-bar-chart-altair.ipynb)	-->	|	L	|
-23	|	Pie chart	|	[📚](https://openintro-ims.netlify.app/explore-categorical.html#pie-charts)	|	<!--	[📑](https://docs.google.com/presentation/d/1Ks3jugleTrpLHwI0CDcPl2P7Uvj5z-iR35iTKJeNGxY/export/pdf)	-->	|		|	<!--	[💻](https://colab.research.google.com/github/kirenz/lab-altair/blob/main/ae/04-4-pie-charts-altair.ipynb)	-->	|		|
-	|	**EDA with numerical data**	|		|	<!--		-->	|		|	<!--		-->	|		|
-24	|	Scatterplot	|	[📚](https://openintro-ims.netlify.app/explore-numerical.html#scatterplots)	|	<!--	[📑](https://docs.google.com/presentation/d/1K13NYtk-fXgIZCszUWkSN1FWqLPf8Ey8U7l9YZSQDtU/export/pdf)	-->	|		|	<!--	[💻](https://colab.research.google.com/github/kirenz/lab-altair/blob/main/ae/05-1-scatterplot-paired-data-altair.ipynb)	-->	|		|
-25	|	Dot plot mean median and mode	|	[📚](https://openintro-ims.netlify.app/explore-numerical.html#dotplots)	|	<!--	[📑](https://docs.google.com/presentation/d/1x0gxZ063LQOHHvvTdwP_086HPfl3Ul2PuzGDZFLXzI0/export/pdf)	-->	|		|	<!--	[💻](https://colab.research.google.com/github/kirenz/lab-altair/blob/main/ae/05-2-dot-plots-mean-altair.ipynb)	-->	|		|
-26	|	Histogram 	|	[📚](https://openintro-ims.netlify.app/explore-numerical.html#histograms)	|	<!--	[📑](https://docs.google.com/presentation/d/1tpbG5V28sIVdLuE_oIWzz59tRMRNL8baXu2xHzE4Hb4/export/pdf)	-->	|		|	<!--	[💻](https://colab.research.google.com/github/kirenz/lab-altair/blob/main/ae/05-3-histograms-altair.ipynb)	-->	|		|
-27	|	Kernel density plot	|	[📚](https://openintro-ims.netlify.app/explore-numerical.html#histograms)	|	<!--	[📑](https://docs.google.com/presentation/d//export/pdf)	-->	|		|	<!--	[💻](https://colab.research.google.com/github/kirenz/lab-altair/blob/main/ae/05-3-histograms-kernel-density-altair.ipynb)	-->	|		|
-28	|	Box Plot	|	[📚](https://openintro-ims.netlify.app/explore-numerical.html#boxplots)	|	<!--	[📑](https://docs.google.com/presentation/d/1VqT9rAbE_1zfhLrWNiQRiOjiJ0-pSjN1T0DM_BMAl_A/export/pdf)	-->	|		|	<!--	[💻](https://colab.research.google.com/github/kirenz/lab-altair/blob/main/ae/05-5-box-plot-altair.ipynb)	-->	|		|
-29	|	Comparing numerical data across groups	|	[📚](https://openintro-ims.netlify.app/explore-categorical.html#comparing-numerical-data-across-groups)	|	<!--	[📑](https://docs.google.com/presentation/d/1yWzxDmaSVwygOQoAuRdYLq_32lIe_utHlaOWW5f63jk/export/pdf)	-->	|		|	<!--	[💻](https://colab.research.google.com/github/kirenz/lab-altair/blob/main/ae/04-6-comparisons-across-groups-altair.ipynb)	-->	|		|
-30	|	Variance and standard deviation	|	[📚](https://openintro-ims.netlify.app/explore-numerical.html#histograms)	|	<!--	[📑](https://docs.google.com/presentation/d/1bsu5VJyS1LMFM3N6oh66dQ-Qf3DWiqRMPvasIbRqpLU/export/pdf)	-->	|		|	<!--		-->	|		|
+17	|	Loans data	|	[📚](https://openintro-ims.netlify.app/explore-categorical.html#explore-categorical)	|		[📑](https://docs.google.com/presentation/d/1o0TVpTvndPA1J23CdTtEThYSekjudkGXuW9HiEA65yc/export/pdf)		|		|		[💻](https://colab.research.google.com/github/kirenz/lab-altair/blob/main/ae/04-1-data-overview.ipynb)		|		|
+18	|	Contingency tables	|	[📚](https://openintro-ims.netlify.app/explore-categorical.html#contingency-tables-and-bar-plots)	|		[📑](https://docs.google.com/presentation/d/1xIfx5wWjSi2ciGDo3OcYmjOYWzQZ5jWC-UwqioKKO6k/export/pdf)		|		|		[💻](https://colab.research.google.com/github/kirenz/lab-altair/blob/main/ae/04-1-contingency-table.ipynb)		|		|
+19	|	Contingency tables with proportions	|	[📚](https://openintro-ims.netlify.app/explore-categorical.html#row-and-column-proportions)	|		[📑](https://docs.google.com/presentation/d/1fY1jRrnluZg9MDei9hcdtCRmRXlUqCg6lonQVzkItPQ/export/pdf)		|		|		[💻](https://colab.research.google.com/github/kirenz/lab-altair/blob/main/ae/04-3-row-column-proportions.ipynb)		|		|
+20	|	Simple bar chart	|	[📚](https://openintro-ims.netlify.app/explore-categorical.html#contingency-tables-and-bar-plots)	|		[📑](https://docs.google.com/presentation/d/1RpYvnIxE5QCK3-urCa76CHUvDqOKlFb7TdAn6XgYjew/export/pdf)		|	[💽 loan50.csv](https://raw.githubusercontent.com/kirenz/datasets/master/loan50.csv)	|		[💻](https://colab.research.google.com/github/kirenz/lab-altair/blob/main/ae/04-1-bar-chart-altair.ipynb)		|	L	|
+21	|	Stacked bar plot	|	[📚](https://openintro-ims.netlify.app/explore-categorical.html#bar-plots-with-two-variables)	|		[📑](https://docs.google.com/presentation/d/1TU5pqJqfgzcBRitDtSxjdRPhwl2TM9Rt3u3FHTPT020/export/pdf)		|	[💽 loan50.csv](https://raw.githubusercontent.com/kirenz/datasets/master/loan50.csv)	|		[💻](https://colab.research.google.com/github/kirenz/lab-altair/blob/main/ae/04-2-stacked-bar-chart-altair.ipynb)		|	L	|
+22	|	Standardized bar plot	|	[📚](https://openintro-ims.netlify.app/explore-categorical.html#bar-plots-with-two-variables)	|		[📑](https://docs.google.com/presentation/d/1BV7XwkZLfTMe5acsDomL3pcSsNhatpswRa11XuzNuLQ/export/pdf)		|	[💽 loan50.csv](https://raw.githubusercontent.com/kirenz/datasets/master/loan50.csv)	|		[💻](https://colab.research.google.com/github/kirenz/lab-altair/blob/main/ae/04-2-standardized-bar-chart-altair.ipynb)		|	L	|
+23	|	Pie chart	|	[📚](https://openintro-ims.netlify.app/explore-categorical.html#pie-charts)	|		[📑](https://docs.google.com/presentation/d/1Ks3jugleTrpLHwI0CDcPl2P7Uvj5z-iR35iTKJeNGxY/export/pdf)		|		|		[💻](https://colab.research.google.com/github/kirenz/lab-altair/blob/main/ae/04-4-pie-charts-altair.ipynb)		|		|
+	|	**EDA with numerical data**	|		|				|		|				|		|
+24	|	Scatterplot	|	[📚](https://openintro-ims.netlify.app/explore-numerical.html#scatterplots)	|		[📑](https://docs.google.com/presentation/d/1K13NYtk-fXgIZCszUWkSN1FWqLPf8Ey8U7l9YZSQDtU/export/pdf)		|		|		[💻](https://colab.research.google.com/github/kirenz/lab-altair/blob/main/ae/05-1-scatterplot-paired-data-altair.ipynb)		|		|
+25	|	Dot plot mean median and mode	|	[📚](https://openintro-ims.netlify.app/explore-numerical.html#dotplots)	|		[📑](https://docs.google.com/presentation/d/1x0gxZ063LQOHHvvTdwP_086HPfl3Ul2PuzGDZFLXzI0/export/pdf)		|		|		[💻](https://colab.research.google.com/github/kirenz/lab-altair/blob/main/ae/05-2-dot-plots-mean-altair.ipynb)		|	L	|
+26	|	Histogram 	|	[📚](https://openintro-ims.netlify.app/explore-numerical.html#histograms)	|		[📑](https://docs.google.com/presentation/d/1tpbG5V28sIVdLuE_oIWzz59tRMRNL8baXu2xHzE4Hb4/export/pdf)		|		|		[💻](https://colab.research.google.com/github/kirenz/lab-altair/blob/main/ae/05-3-histograms-altair.ipynb)		|	L	|
+27	|	Kernel density plot	|	[📚](https://openintro-ims.netlify.app/explore-numerical.html#histograms)	|		[📑](https://docs.google.com/presentation/d//export/pdf)		|		|		[💻](https://colab.research.google.com/github/kirenz/lab-altair/blob/main/ae/05-3-histograms-kernel-density-altair.ipynb)		|	L	|
+28	|	Box Plot	|	[📚](https://openintro-ims.netlify.app/explore-numerical.html#boxplots)	|		[📑](https://docs.google.com/presentation/d/1VqT9rAbE_1zfhLrWNiQRiOjiJ0-pSjN1T0DM_BMAl_A/export/pdf)		|		|		[💻](https://colab.research.google.com/github/kirenz/lab-altair/blob/main/ae/05-5-box-plot-altair.ipynb)		|	L	|
+29	|	Comparing numerical data across groups	|	[📚](https://openintro-ims.netlify.app/explore-categorical.html#comparing-numerical-data-across-groups)	|		[📑](https://docs.google.com/presentation/d/1yWzxDmaSVwygOQoAuRdYLq_32lIe_utHlaOWW5f63jk/export/pdf)		|		|		[💻](https://colab.research.google.com/github/kirenz/lab-altair/blob/main/ae/04-6-comparisons-across-groups-altair.ipynb)		|	L	|
+30	|	Variance and standard deviation	|	[📚](https://openintro-ims.netlify.app/explore-numerical.html#histograms)	|		[📑](https://docs.google.com/presentation/d/1bsu5VJyS1LMFM3N6oh66dQ-Qf3DWiqRMPvasIbRqpLU/export/pdf)		|		|				|		|
+31	|	Robust statistics and transformations	|	[📚](https://openintro-ims.netlify.app/explore-numerical.html#robust-statistics)	|		[📑](https://docs.google.com/presentation/d/16Oy2-hXJgTd4IUjYSj6ZN0gBimS_Oe5OSpe7B6I91qg/export/pdf)		|		|				|		|
+	|	**Models**	|		|	<!--			|		|				|		|
+32	|	Statistical Learning, Machine Learning	|		|	<!--	[📑](https://docs.google.com/presentation/d/1P3MkbJseVwLggUP_lGoNoZ3mk4_nOOBFZ6GmVzvBCzM/export/pdf)	-->	|		|				|		|
+33	|	Types of Models	|		|	<!--	[📑](https://docs.google.com/presentation/d/1ZycVKQLPSHGUv3Mga1CE3BHTL0W_gfszs6SkEh7fzeU/export/pdf)	-->	|		|				|		|
+	|	**Linear Regression models**	|		|	<!--		-->	|		|				|		|
+34	|	Correlation	|	[📚](https://openintro-ims.netlify.app/model-slr.html#describing-linear-relationships-with-correlation)	|	<!--	[📑](https://docs.google.com/presentation/d/1JyvtQBRiUhjncLki3ozy4SvvgwRqS7Gmj_vUpFokzzo/export/pdf)	-->	|	[☑️](https://forms.gle/5ntV6z8yHk8g4qgZ8)	|	<!--	[💻](https://colab.research.google.com/github/kirenz/lab-ims/blob/main/ims/07-2-correlation.ipynb)	-->	|		|
+35	|	Sales and ads (1)	|		|	<!--	[📑](https://docs.google.com/presentation/d/1q9o_PycjwItr-5PxotZFFzkwdqvo8fVskv_Y0H1CbxE/export/pdf)	-->	|		|	<!--	[💻](https://colab.research.google.com/github/kirenz/lab-models/blob/main/ae/1_intro_sales.ipynb)	-->	|		|
+36	|	Mean squared error (2)	|		|	<!--	[📑](https://docs.google.com/presentation/d/1DnX0RnGCguOE2elQJFrcu2efZp6hjre7fsTrAfBJQTA/export/pdf)	-->	|		|	<!--	[💻](https://colab.research.google.com/github/kirenz/lab-models/blob/main/ae/2_mse.ipynb)	-->	|		|
+37	|	Mean squared error (3)	|		|	<!--	NA	-->	|		|	<!--	[💻](https://colab.research.google.com/github/kirenz/lab-models/blob/main/ae/3_mse.ipynb)	-->	|		|
+38	|	Mean squared error (4)	|		|	<!--	NA	-->	|		|	<!--	[💻](https://colab.research.google.com/github/kirenz/lab-models/blob/main/ae/4_mse.ipynb)	-->	|		|
+39	|	Fitting a line and residuals	|	[📚](https://openintro-ims.netlify.app/model-slr.html#fit-line-res-cor)	|	<!--	[📑](https://docs.google.com/presentation/d/18xWbx5rkptYfOaqzpfIc7RD-LC9Y-Wgs_7tz9Z2a2hg/export/pdf)	-->	|	[☑️](https://forms.gle/JFMXzjByDRGZtbDx8)	|	<!--	[💻](https://colab.research.google.com/github/kirenz/lab-ims/blob/main/ims/07-1-fitting.ipynb)	-->	|		|
+40	|	Least squares regression	|	[📚](https://openintro-ims.netlify.app/model-slr.html#least-squares-regression)	|	<!--	[📑](https://docs.google.com/presentation/d/1jreIuC0fOiVPHt6CUNYb-Kb4uKogCeftBZP5Zum6jSQ/export/pdf)	-->	|		|	<!--	[💻](https://colab.research.google.com/github/kirenz/lab-ims/blob/main/ims/07-3-least-squares.ipynb)	-->	|		|
+41	|	R squared	|	[📚](https://openintro-ims.netlify.app/model-slr.html#r-squared)	|	<!--	[📑](https://docs.google.com/presentation/d/1ZIijR7F877M9peDH2rhb3IO7dP6JGDd1ypz_C2pAyGI/export/pdf)	-->	|		|	<!--	[💻](https://colab.research.google.com/github/kirenz/lab-ims/blob/main/ims/07-4-strength-fit.ipynb)	-->	|		|
+42	|	Categorical predictors with two levels	|	[📚](https://openintro-ims.netlify.app/model-slr.html#categorical-predictor-two-levels)	|	<!--	[📑](https://docs.google.com/presentation/d/1Ca1pslYtl_bsPgY00JMhseV4klnU81AWw6s5Y8a15PA/export/pdf)	-->	|		|	<!--	[💻](https://colab.research.google.com/github/kirenz/lab-ims/blob/main/ims/07-5-categorical.ipynb)	-->	|		|
+43	|	Outliers	|	[📚](https://openintro-ims.netlify.app/model-slr.html#outliers-in-regression)	|	<!--	[📑](https://docs.google.com/presentation/d/1UxbXpM0_BtZu9nAUczUopOOGT39hzn9Ucz0jOTYmM_Y/export/pdf)	-->	|		|	<!--		-->	|		|
+44	|	Multiple predictors regression 1	|	[📚](https://openintro-ims.netlify.app/model-mlr.html#model-mlr)	|	<!--	[📑](https://docs.google.com/presentation/d/1ijhtWW58Kx1-ltulPSc1dKotJrXS7ZTGi6RFCKOGStA/export/pdf)	-->	|	[☑️](https://forms.gle/wHPHMvbTDczNaQD97)	|	<!--	[💻](https://colab.research.google.com/github/kirenz/lab-ims/blob/main/ims/08a-1-multiple.ipynb)	-->	|		|
+45	|	Multiple predictors regression 2	|		|	<!--	NA	-->	|		|	<!--	[💻](https://colab.research.google.com/github/kirenz/lab-ims/blob/main/ims/08a-2-multiple.ipynb)	-->	|		|
+46	|	Multiple predictors regression 3	|		|	<!--	NA	-->	|		|	<!--	[💻](https://colab.research.google.com/github/kirenz/lab-ims/blob/main/ims/08a-3-multiple.ipynb)	-->	|		|