Learn Pandas - Python Data

Istruzione

0,99 € · Progettata per iPad. Non verificata per macOS.

Master Pandas, the most popular Python library for data manipulation and analysis, with the most comprehensive and interactive learning app. Whether you are a complete beginner or leveling up your data skills, this is your all-in-one path to becoming a professional Data Analyst or Data Scientist. COMPLETE CURRICULUM - 100+ Lessons Start from scratch and become job-ready with our structured learning path: Pandas Core : - Introduction to Pandas: Why Pandas, installation, ecosystem, vs Excel - Pandas Data Structures: Series, DataFrames, indexes, multi-index - Data Loading and Saving: read_csv, read_excel, read_json, read_sql, to_csv, to_excel - Data Inspection and Exploration: head, tail, info, describe, dtypes, shape, memory_usage - Data Transformation: apply, map, replace, astype, rename, pivot, melt - Data Cleaning: Missing values, duplicates, outliers, type conversion, validation - Working with Text Data: str accessor, regex, splitting, joining, text extraction - Pandas with Databases: read_sql, to_sql, SQLAlchemy, SQLite, PostgreSQL - Performance Optimization: Vectorization, eval, query engine, chunksize, categorical types - Advanced Pandas: Custom accessors, extension arrays, evaluator, query optimization - Pandas for Data Science: Feature engineering, data pipelines, ETL workflows Python Fundamentals: - Python basics essential for data analysis: variables, data types, operators - Functions and modules: definitions, arguments, lambda, map/filter/reduce - Data structures: lists, tuples, dictionaries, sets, strings - File handling: reading/writing files, CSV, JSON parsing - Object-oriented programming: classes, inheritance, encapsulation - Error handling: try/except, custom exceptions, logging Data Science Fundamentals: - Overview of Data Science: The data science lifecycle, roles, tools - Data Collection Techniques: APIs, surveys, databases, web scraping, sensors - Understanding and Summarizing Data: Descriptive statistics, central tendency, dispersion - Data Cleaning and Preparation: Handling missing data, outliers, normalization, encoding - Statistical Analysis: Hypothesis testing, confidence intervals, correlation, regression - Advanced Machine Learning Concepts: Cross-validation, feature selection, ensemble methods - Model Deployment and Monitoring: APIs, batch prediction, model drift, retraining - Data Engineering Basics: ETL pipelines, data warehouses, ELT, data lakes Polars - Modern DataFrames : - High-performance DataFrame library as a Pandas alternative - Lazy evaluation and query optimization - Rust-powered performance for large datasets - When to choose Polars over Pandas - Interoperability between Polars and Pandas CODE PLAYGROUND - Practice What You Learn: - Write and execute Python code on your device - See results instantly - no computer needed - Pandas DataFrame output displayed in readable format - Syntax highlighting and error detection - Save your code snippets for later AI TUTOR - Your 24/7 Data Science Mentor: - Ask any Pandas, Python, or data analysis question - Debug your data pipeline with AI assistance GAMIFIED LEARNING - Stay Motivated: - Daily learning streaks with progress tracking - XP points and level progression - Study reminders with push notifications POWERFUL ORGANIZATION TOOLS: - Bookmarks: Save lessons for quick access - Notes: Write personal notes on any lesson - Code Snippets: Store reusable Python/Pandas code blocks - Search: Find anything instantly across 1200+ lessons - Dark mode for comfortable night learning LEARN OFFLINE - Anytime, Anywhere: - All content are offline access - Study on your commute without internet - Perfect for flights, remote areas, or limited data PERFECT FOR: - Students learning Python for data analysis - Researchers handling datasets - Business analysts working with CSV and SQL - Career changers entering data science - Interview preparation for data roles

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Lo sviluppatore, Shahbaz Khan, ha indicato che le procedure per la tutela della privacy dell’app potrebbero includere il trattamento dei dati descritto di seguito. Per scoprire di più, consulta l’informativa sulla privacy dello sviluppatore .

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    Dimensioni
    • 141,4 MB
    Categoria
    • Istruzione
    Compatibilità
    Richiede iOS 17 o versioni successive.
    • iPhone
      Richiede iOS 17 o versioni successive.
    • iPad
      Richiede iPadOS 17 o versioni successive.
    • Mac
      Richiede macOS 14.0 o versioni successive e un Mac con chip Apple M1 o versioni successive.
    • Apple Vision
      Richiede visionOS 1.0 o versioni successive.
    Lingue
    • Inglese
    Età
    9+
    Fornitore
    Shahbaz Khan
    • Shahbaz Khan si identificata come operatore commerciale per questa app e ha confermato che il prodotto o il servizio è conforme alla legge dell’Unione europea.
    • Indirizzo
      Muhalla Dinpur Colony
      Near Jamia Abdullah Bin Masood
      Khanpur 64100
      Pakistan
    • Numero di telefono
      +92 3138779937
    • Email
      shahbazchandio3691@gmail.com
    Copyright
    • © Shahbaz Khan