"Clean, Analyze, and Visualize Your Data" is an intermediate course designed for aspiring AI and data professionals who understand that world-class models are built on high-quality data. In this course, you will move beyond theory and gain hands-on experience in the essential, practical skills of data preparation and exploration. You will learn to implement systematic data cleaning and validation routines using industry-standard tools like Pandera to ensure your datasets are reliable and ready for processing.
Clean, Analyze, and Visualize Your Data
您将学到什么
Develop core data preparation and exploration skills for AI. Implement data validation and visualization to ensure high-quality data for models.
要了解的详细信息
了解顶级公司的员工如何掌握热门技能
积累特定领域的专业知识
本课程是 Agentic AI Performance & Reliability 专项课程 专项课程的一部分
在注册此课程时，您还会同时注册此专项课程。
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 获得可共享的职业证书
该课程共有2个模块
This module lays the critical foundation for any AI project: data quality. You will immediately confront a data quality challenge to understand why cleaning is essential. You will then learn how to implement systematic routines using Python and the Pandera library to validate a dataset's structure, handle missing values, and prepare raw data so that it is reliable and ready for analysis.
涵盖的内容
1个视频1篇阅读材料1个作业1个非评分实验室
High-dimensional data can hide important patterns. In this module, you will learn how to use dimensionality reduction techniques like t-SNE to visualize complex datasets. You will analyze these visualizations to uncover hidden clusters, identify outliers, and diagnose issues that are invisible in raw data, such as a misrouted intent cluster affecting model accuracy.
涵盖的内容
2个视频1篇阅读材料2个作业1个非评分实验室
获得职业证书
将此证书添加到您的 LinkedIn 个人资料、简历或履历中。在社交媒体和绩效考核中分享。
位教师
164 门课程 9,184 名学生
提供方
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常见问题
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
更多问题
提供助学金，
¹ 本课程的部分作业采用 AI 评分。对于这些作业，将根据 Coursera 隐私声明使用您的数据。