Name: Clean Your Data
Brand: Google
Availability: OnlineOnly
Rating: 4.9 (5 reviews)

返回到 Clean Your Data

学生对 Google 提供的 Clean Your Data 的评价和反馈

4.9

星

24 个评分

课程概述

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. By the end of this course, you will be able to: • Apply input validation skills to a dataset with Python • Explain the importance of input validation • Demonstrate how to transform categorical data into numerical data with Python • Explain the importance of categorical versus numerical data in a dataset • Explain the importance of recognizing outliers in a dataset • Demonstrate how to identify outliers in a dataset with Python • Understand when to contact stakeholders or engineers regarding missing values • Explain the importance of ethically considering missing values • Demonstrate how to identify missing data with Python...

1 - Clean Your Data 的 5 个评论（共 5 个）

创建者 Mapula T M

•

Nov 21, 2025

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.”