Learn Pandas - Python Data
Educación
$19.00 · Diseñada para iPad. No verificada para macOS.
También incluida en
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
Calificaciones y reseñas
- Esta app no ha recibido suficientes calificaciones ni reseñas para mostrar un resumen.
Bug Fixes...
El desarrollador (Shahbaz Khan) indicó que las prácticas de privacidad de la app pueden incluir el manejo de datos que se describe a continuación. Para obtener más detalles, consulta la política de privacidad del desarrollador .
No se recopilan datos
El desarrollador no recopila ningún dato en esta app.
Accesibilidad
El desarrollador aún no ha indicado cuáles funciones de accesibilidad admite esta app. Obtén detalles
Ficha técnica
- Vendedor
- Shahbaz Khan
- Tamaño
- 141.4 MB
- Categoría
- Educación
- Compatibilidad
Requiere iOS 17 o posterior.
- iPhone
Requiere iOS 17 o posterior. - iPad
Requiere iPadOS 17 o posterior. - Mac
Requiere macOS 14.0 o posterior y una Mac con el chip M1 de Apple o posterior. - Apple Vision
Requiere visionOS 1.0 o posterior.
- iPhone
- Idiomas
- Inglés
- Edad
9+
- 9+
- Copyright
- © Shahbaz Khan
