Learn Pandas - Python Data
教育
$30.00 · 專為 iPad 設計。尚未針對 macOS 驗證。
也包含於
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
評分與評論
- 此 App 尚未收到足夠的評分或評論，無法顯示概覽。
Bug Fixes...
開發者Shahbaz Khan指出App的隱私權實務可能包含下方描述的資料處理。如需更多資訊，請參閱 開發者的隱私權政策 。
不收集資料
開發者不會從這個 App 收集任何資料。
輔助使用
開發者尚未表示此 App 支援的輔助使用功能。 進一步瞭解
資訊
- 供應商
- Shahbaz Khan
- 大小
- 141.4 MB
- 類別
- 教育
- 相容性
需要 iOS 17 或以上版本。
- iPhone
需要 iOS 17 或以上版本。 - iPad
需要 iPadOS 17 或以上版本。 - Mac
需要 macOS 14.0（或以上版本）以及配備 Apple M1（或以上版本）晶片的 Mac。 - Apple Vision
需要 visionOS 1.0 或以上版本。
- iPhone
- 語言
- 英文
- 年齡分級
9+
- 9+
- 版權
- © Shahbaz Khan
