Professional Development · IT & Digital
Python for Data Analysis — Pandas, NumPy & Visualisation
A professional course covering the complete Python data analysis stack: NumPy for numerical computing, Pandas for data manipulation, Matplotlib and Seaborn for visualisation, and end-to-end EDA workflows for real-world datasets.
25 Lektionen
25 Karteikarten-Decks
25 Quizze
Lehrplan
NumPy and the Data Ecosystem
Pandas Fundamentals
Introduction to Pandas: Series and DataFrames1 Decks1 QuizLoading Data: CSV, Excel, JSON, and Databases1 Decks1 QuizExploring Data: Shape, Info, Describe, and Head/Tail1 Decks1 QuizSelecting and Filtering Rows and Columns1 Decks1 QuizHandling Missing Data: Detection and Strategies1 Decks1 QuizData Type Conversion and Parsing Dates1 Decks1 Quiz
Data Manipulation
Renaming, Reordering, and Reshaping DataFrames1 Decks1 QuizMerging DataFrames: Join Types Explained1 Decks1 QuizGroupby: Aggregation and Split-Apply-Combine1 Decks1 QuizPivot Tables and Cross-Tabulation1 Decks1 QuizString Operations on Text Columns1 Decks1 QuizApplying Functions to DataFrames1 Decks1 QuizTime Series Data: Resampling and Rolling Windows1 Decks1 Quiz
Visualisation
Analysis and Communication
Exploratory Data Analysis (EDA) Workflow1 Decks1 QuizDescriptive Statistics and Correlation Analysis1 Decks1 QuizDetecting Outliers: IQR and Z-Score Methods1 Decks1 QuizIntroduction to Scikit-learn: Preprocessing Data1 Decks1 QuizA Complete EDA Project: Step by Step1 Decks1 QuizCommunicating Findings: From Analysis to Insights1 Decks1 Quiz
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Alle 25 Lektionen mit Karteikarten, Quizzen und KI-Lernhilfen. 7 Tage kostenlos.
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