+chapters

_toc.yml

 format: jb-book
 root: landing-page
+parts:
+- caption: Einführung
+  numbered: true
+  chapters:
+  - file: was-ist-data-science
+  - file: stochastik
+  - file: python
 
-chapters:
-- file: was-ist-data-science
-- file: stochastik
-- file: python
-- file: erwartungswert
-- file: stochastik-programmieren
-- file: numpy
-- file: wichtigste-verteilungen
-- file: stetige-verteilungen
-- file: normalverteilung
-- file: wichtigste-stetige-verteilungen
-- file: deskriptive-statistik
-- file: explorative-analyse-beispiele
-- file: iris
-- file: kovarianz
-- file: multivariate-normalverteilung
-- file: relative-entropie
-- file: pandas
-- file: kmeans
-- file: statistische-modelle
-- file: konfidenzintervalle
-- file: konfidenzintervalle-nb
-- file: statistische-tests
-- file: dimensionsreduktion
\ No newline at end of file
+- caption: Diskrete Stochastik und Numpy
+  numbered: true
+  chapters:
+  - file: erwartungswert
+  - file: stochastik-programmieren
+  - file: numpy
+  - file: wichtigste-verteilungen
+
+- caption: Stetige Stochastik und Statistik
+  numbered: true
+  chapters:
+  - file: stetige-verteilungen
+  - file: normalverteilung
+  - file: wichtigste-stetige-verteilungen
+
+- caption: Explorative Datenanalyse
+  numbered: true
+  chapters:
+  - file: deskriptive-statistik
+  - file: explorative-analyse-beispiele
+  - file: iris
+
+- caption: Multivariate Stochastik
+  numbered: true
+  chapters:
+  - file: kovarianz
+  - file: multivariate-normalverteilung
+  - file: relative-entropie
+
+- caption: Pandas und Clustering
+  numbered: true
+  chapters:
+  - file: pandas
+  - file: kmeans
+
+- caption: Schätzer und Tests
+  numbered: true
+  chapters:
+  - file: statistische-modelle
+  - file: konfidenzintervalle
+  - file: konfidenzintervalle-nb
+  - file: statistische-tests
+
+- caption: Dimensionsreduktion
+  numbered: true
+  chapters:
+  - file: dimensionsreduktion
\ No newline at end of file