Excel-zu-Python-Brücke
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Home > Computing and Information Technology > Business applications > Integrated software packages > Excel-zu-Python-Brücke: Moderne Datenanalyse für Finanz- und Wirtschaftsexperten
Excel-zu-Python-Brücke: Moderne Datenanalyse für Finanz- und Wirtschaftsexperten

Excel-zu-Python-Brücke: Moderne Datenanalyse für Finanz- und Wirtschaftsexperten


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About the Book

Excel-zu-Python-Brücke
Moderne Datenanalyse für Finanz- und Wirtschaftsexperten

Sie arbeiten täglich mit Excel.
Pivot-Tabellen, Formeln, Makros, Berichte.

Doch irgendwann stoßen Sie an Grenzen:
Große Datenmengen, komplexe Analysen, Automatisierung, Reproduzierbarkeit.

"Excel-zu-Python-Brücke" zeigt Ihnen, wie Sie den nächsten Schritt gehen - ohne Ihre Excel-Erfahrung aufzugeben. Dieses Buch verbindet die vertraute Welt der Tabellenkalkulation mit der Leistungsfähigkeit von Python.

Es ist kein radikaler Umstieg.
Es ist eine strategische Erweiterung.


Warum Excel allein nicht mehr ausreicht

Excel ist ein starkes Werkzeug - aber:

  • Große Datensätze werden langsam

  • Komplexe Berechnungen werden unübersichtlich

  • Makros sind schwer wartbar

  • Reproduzierbarkeit ist begrenzt

  • Versionierung wird chaotisch

Python ergänzt Excel genau dort, wo es sinnvoll ist: bei Automatisierung, Skalierbarkeit und fortgeschrittener Datenanalyse.


Was Sie in diesem Buch lernen
  • Excel-Daten mit Python einlesen und verarbeiten

  • CSV-, XLSX- und Finanzdaten automatisiert analysieren

  • Pivot-Logik mit Python nachbilden

  • Daten bereinigen und transformieren

  • Zeitreihenanalysen durchführen

  • Berichte automatisiert generieren

  • Visualisierungen für Management-Reports erstellen

  • Wiederkehrende Finanzprozesse automatisieren

  • Excel-Workflows mit Python erweitern


Praxisbeispiele aus Finanz und Wirtschaft
  • Monats- und Quartalsberichte automatisieren

  • Cashflow-Analysen reproduzierbar erstellen

  • Forecast-Modelle strukturieren

  • Budgetdaten konsolidieren

  • Sensitivitätsanalysen durchführen

  • Große Transaktionsdaten effizient auswerten

Alle Beispiele sind wirtschaftsnah, nachvollziehbar und direkt anwendbar.


Für wen ist dieses Buch geeignet?
  • Finanzanalysten

  • Controller

  • Wirtschaftsprüfer

  • Unternehmensberater

  • Studierende der BWL oder VWL

  • Excel-Power-User, die skalieren wollen

Wenn Sie Ihre Excel-Kompetenz nicht ersetzen, sondern erweitern möchten, ist dieses Buch Ihr praxisorientierter Leitfaden.

Analysieren Sie schneller.
Automatisieren Sie intelligenter.
Nutzen Sie Python dort, wo Excel an Grenzen stößt.


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Product Details
  • ISBN-13: 9798250198011
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Height: 229 mm
  • No of Pages: 248
  • Returnable: N
  • Sub Title: Moderne Datenanalyse für Finanz- und Wirtschaftsexperten
  • Width: 152 mm
  • ISBN-10: 8250198018
  • Publisher Date: 28 Feb 2026
  • Binding: Paperback
  • Language: German
  • Returnable: N
  • Spine Width: 13 mm
  • Weight: 390 gr


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