本课程由Anaconda制作，通过真实FAA鸟击数据集，教你用Python和pandas清洗数据、特征工程、异常检测及地理趋势制图，提升实战数据分析能力。
原始标题：Exploratory Data Analysis with Python
本课程由 Python 数据科学巨头 Anaconda 制作，专注于通过真实的美国联邦航空局（FAA）鸟击数据集，带你完整走过从原始数据到实际洞察的 EDA（探索性数据分析）全流程；你将深入掌握如何利用 Python 和 pandas 清洗缺失值与脏数据、通过数据联接与布尔指示器进行特征工程、利用相关性分析与分布可视化识别异常值，并进阶使用 GeoPandas 和透视表实现时空维度的数据聚合与地理趋势制图，非常适合想要提升实战数据处理与独立分析能力的分析师、科学家及 Python 开发者。
Released 8/2026
With Anaconda, Inc
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 3h 13m | Size: 607.8 MB
Learn how to explore real-world data with Python and pandas. Discover how to clean messy datasets, engineer features, uncover patterns, and map geographic trends.
Course details
Real datasets rarely arrive ready to analyze, so the real skill is working them from end to end, from raw file to real-world insight. In this course, explore how to do exactly that with Python and pandas, using a live FAA bird-strike dataset. Learn how to load raw data, handle missing values, and clean messy columns from scratch. Discover how to engineer features with joins and Boolean indicators, run correlation analysis, and visualize distributions to spot and handle outliers. Along the way, explore time-based and geospatial analysis, mapping geographic patterns with GeoPandas and aggregating your findings with group-by and pivot tables. By the end of this course, you’ll be ready to run a complete EDA workflow on a real dataset and communicate the patterns you uncover. This intermediate-level course is an ideal fit for data analysts, data scientists, Python developers, and anyone eager to turn raw data into insight.This course was created by Anaconda, Inc. We are pleased to host this training in our library.
Skills covered
Data Analysis, Exploratory Data Analysis, Python (Programming Language)
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