This course focuses on data cleaning and processing using Copilot in Excel. It empowers you to identify and correct data errors, handle missing values and duplicates, and standardize data types. You will explore advanced text manipulation, column operations, and external data integration, leveraging Copilot for efficient data transformation. Additionally, you will design structured data workflows by developing effective prompts for Copilot, enabling you to pose clear questions that guide your analysis. Through practical modules, you’ll develop skills in data organization, error identification, and cleaning strategies. By the end of this course, you will enhance data accuracy and reliability, ensuring your datasets are analysis-ready. Elevate your data processing capabilities and gain a competitive edge in data-driven decision-making.

Data Cleaning & Processing with Copilot in Excel
本课程是多个项目的一部分。

位教师: Microsoft
访问权限由 New York State Department of Labor 提供
10,595 人已注册
您将学到什么
Identify and address common data errors using Copilot in Excel.
Apply comprehensive data cleaning techniques to prepare datasets for analysis.
Manipulate and transform data efficiently with Copilot.
Implement data organization strategies for improved analysis readiness.
您将获得的技能
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
- 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5个模块
This module introduces basic data preparation techniques and error identification methods using Copilot in Excel. You will learn to identify and address common data errors and transform data for analysis.
涵盖的内容
13个视频13篇阅读材料5个作业
In this module, you’ll develop essential skills in data preparation using Copilot in Excel. You’ll focus on identifying and addressing missing values, removing duplicates, and applying both manual and automated imputation techniques. Through videos, readings, hands-on activities, and quizzes, you’ll gain practical experience in ensuring data integrity and readiness for analysis. By the end of the module, you’ll be proficient in transforming raw data into reliable datasets ready for meaningful analysis.
涵盖的内容
6个视频5篇阅读材料4个作业
This module focuses on converting and standardizing data types using Copilot in Excel, ensuring consistency and accuracy in datasets. You will learn to convert data to the desired formats and standardize data for analysis.
涵盖的内容
6个视频5篇阅读材料4个作业
This module covers techniques for manipulating text data and performing column operations using Copilot in Excel, ensuring efficient data organization and improved readability.
涵盖的内容
8个视频4篇阅读材料4个作业
This module focuses on designing structured and logical data analysis workflows by developing effective prompts for Copilot in Excel. You will learn to pose clear and precise questions to Copilot to guide their data analysis processes.
涵盖的内容
5个视频6篇阅读材料3个作业1次同伴评审
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。
人们为什么选择 Coursera 来帮助自己实现职业发展

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.
从 Data Science 浏览更多内容
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。







