Learn Pandas - Python Data
Educação
R$ 6,90 · Desenvolvido para iPad. Não verificado para macOS.
Também Incluído em
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
Classificações e Avaliações
- Este app não recebeu classificações ou avaliações suficientes para exibir uma visão geral.
Bug Fixes...
Shahbaz Khan, responsável pelo desenvolvimento do app, indicou que as práticas de privacidade do app podem incluir o gerenciamento de dados conforme descrito abaixo. Para obter mais informações, consulte a política de privacidade do app .
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Informações
- Venda
- Shahbaz Khan
- Tamanho
- 141,4 MB
- Categoria
- Educação
- Compatibilidade
Requer o iOS 17 ou posterior.
- iPhone
Requer o iOS 17 ou posterior. - iPad
Requer o iPadOS 17 ou posterior. - Mac
Requer o macOS 14.0 ou posterior e um Mac com o chip M1 da Apple ou posterior. - Apple Vision
Requer o visionOS 1.0 ou posterior.
- iPhone
- Idiomas
- Inglês
- Idade
A10
- Este app recebeu a seguinte classificação indicativa: A10.
- Copyright
- © Shahbaz Khan
