In this course, you’ll explore three exploratory data analysis (EDA) practices: cleaning, joining, and validating. You'll discover the importance of these practices for data analysis, and you’ll use Python to clean, validate, and join data.
Clean Your Data
Clean Your Data
本课程是 Google Data Analysis with Python 专项课程 的一部分
访问权限由 New York State Department of Labor 提供
您将学到什么
Explore the EDA practices of cleaning, validating and joining data
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作业
5 项作业
授课语言：英语（English）
最近已更新！
September 2025
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本课程是 Google Data Analysis with Python 专项课程 专项课程的一部分
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该课程共有5个模块
Missing or duplicate data can appear in datasets for numerous reasons. The impact of missing values can vary depending on how many are present. In this module, you will learn strategies to address missing data entries, determine when deduplication is needed, and use common Python functions for handling duplicates.
涵盖的内容
4个视频1篇阅读材料1个作业3个非评分实验室
Outliers are data points that stand out amongst others. A tactful approach to outliers recognizes the human stories and real-world effects they represent. In this module, you will learn the types of outliers, how to handle them, and visualize them.
涵盖的内容
2个视频2篇阅读材料1个作业
Data models typically work better with numerical inputs. To facilitate this, categorical data is encoded into numeric digits for analysis. In this module, you will learn why this transformation is needed, what dummy variables are, and how to select the right encoding method.
涵盖的内容
2个视频2篇阅读材料1个作业
Input validation focuses on thoroughly checking data for completeness and to eliminate errors. In this module, you will learn why validation minimizes errors, how to detect improper inputs, and why it's essential for joining datasets.
涵盖的内容
2个视频1个作业2个非评分实验室1个插件
Review everything you’ve learned and take the final assessment.
涵盖的内容
1篇阅读材料1个作业
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MM
已于 Nov 20, 2025审阅
From the Python course, I learned the foundational skills of programming, such as writing code, using variables, loops, and functions, and understanding how to solve problems using Python.”
TH
已于 Dec 15, 2025审阅
his course helped me understand the basics clearly and improved my practical skills. Well structured and easy to follow.
