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SQL zu Python für die Datenanalyse (Large Print Edition)
Paperback
Publisher Price: $25.00
Publisher: Georgette Kelemaokalani
Published: Jan 21 2026
Pages: 178
Weight: 0.65
Height: 0.38 Width: 7.00 Depth: 9.19
Language: German
Sie leben von Abfragen - SELECTs, JOINs, GROUP BYs - doch die Realität sieht anders aus: Explodierende Datensätze verlangsamen alles, Sie jonglieren mit CSV-/Excel-/API-Importen, die Datenbereinigung dauert ewig, benutzerdefinierte Berechnungen führen zu Syntaxfehlern, Automatisierung wird zum Albtraum beim Kopieren und Einfügen, und jede Visualisierung oder ML-Vorbereitung erfordert einen mühsamen Toolwechsel. Die Zeit rinnt. Erkenntnisse bleiben aus. Die Karriere stagniert.
SQL zu Python für die Datenanalyse: Die Übersetzung von SQL-Abfragen in Python mit Pandas ändert alles.
Dieser umfassende Leitfaden (ab 2025) verwandelt Ihre SQL-Kenntnisse in die Superkraft von Python + Pandas. Sie verstehen die Logik bereits - lernen Sie jetzt, sie schneller, sauberer und überall auszuführen, ganz ohne Datenbank. Praxisnahe Umsetzung. Sofortige Erfolge. Volle Kontrolle.
Was Sie beherrschen und sofort anwenden können:
Reibungslose SQL-zu-Python-Übersetzungen - Transformieren Sie SELECT, LIMIT, DISTINCT, WHERE, Aggregationen, GROUP BY → groupby(), Fensterfunktionen (Ranking & laufende Summen), CASE → np.select/if und JOINS → merge/concat in Pandas für blitzschnelle Datenanalyse. Unabhängigkeit von Datenbanken - Laden Sie CSV-, Excel-, API-, Parquet- und JSON-Dateien direkt; filtern, bereinigen, formen und analysieren Sie Daten in einem einzigen, nahtlosen Python-Skript mit Pandas. Automatisierung, die wertvolle Zeit spart - Skripten Sie wiederholbare Workflows (Top-Verkäufe, Kohortentrends, HR-Kennzahlen, Kundensegmentierung), sodass Sie in Minuten erledigen, wofür Sie früher Stunden gebraucht haben. Vom SQL-Know-how zum Pandas-Know-how - Beginnen Sie mit den Python-Grundlagen und DataFrame-Essentials und erweitern Sie Ihr Wissen durch praktischen Code, Übungen, Beispiele aus der Praxis (E-Commerce/Marketing/HR) und Abschlussprojekte.
Machen Sie Ihre Fähigkeiten zukunftssicher - Verbinden Sie sich nahtlos mit Matplotlib/Seaborn-Visualisierungen, scikit-learn-Modellierung oder Produktionspipelines - Ihre übersetzten SQL-Abfragen in Python bilden die Grundlage.
Kein unnötiges Drumherum. Keine vage Theorie. Nur klare, getestete Übersetzungen und praktische Schritte, die Sie vom ersten Tag an schneller und wertvoller machen. Übernehmen Sie die Kontrolle. Gestalten Sie Ihren Daten-Workflow selbst. Sichern Sie sich jetzt SQL to Python for Data Analysis: Translating SQL Queries into Python with Pandas und erreichen Sie noch heute die nächste Stufe Ihrer Datenkompetenz!
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