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.
By the end of the course, you’ll be able to:
- 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.
Tools you’ll use:
- Microsoft Excel
- Copilot in Excel
Required Course Materials: A Copilot license is required to complete this course. If you don’t have a Microsoft 365 Personal or Family license, you can start a free 30-day trial using the link provided in the course.
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
显示有关单元内容的信息
13个视频•总计82分钟
Introduction to data cleaning and processing with Copilot in Excel •4分钟
Hands-on activity debrief: Data error correction with Copilot in Excel•6分钟
Activating Excel Copilot•7分钟
Performing basic tasks with Copilot•7分钟
Hands-on activity debrief: Activating Copilot•8分钟
Common data errors overview•6分钟
Hands-on activity debrief: Identifying errors in datasets•6分钟
Using Copilot to address data errors•7分钟
Hands-on activity debrief: Correcting data errors•6分钟
Transpose data for trends analysis•6分钟
Date-time formatting techniques•6分钟
Advanced data transformation techniques•7分钟
Hands-on activity debrief: Transforming data for analysis•7分钟
13篇阅读材料•总计189分钟
Hands-on activity: Data error correction with Copilot in Excel•15分钟
Introduction to data cleaning & processing with Copilot in Excel•5分钟
Introduction to the Coursera Community•10分钟
Getting started with Copilot in Excel •2分钟
How to Get Started with Microsoft Copilot•10分钟
Guide to performing basic tasks using Copilot in Excel•10分钟
Hands-on activity: Activating Copilot•20分钟
Common data errors and solutions•7分钟
Hands-on activity: Identifying errors in datasets•30分钟
Case studies on common data errors•10分钟
Hands-on activity: Correcting data errors•30分钟
Best practices for data error correction•10分钟
Hands-on activity: Transforming data for analysis•30分钟
5个作业•总计57分钟
Quiz: Data preparation and error identification•30分钟
Quiz: Performing basic tasks using Copilot in Excel•12分钟
Quiz: Common data errors•6分钟
Quiz: Data error correction •3分钟
Quiz: Data transformation•6分钟
Handling missing values and duplicates
第 2 单元•小时 后完成
单元详情
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
显示有关单元内容的信息
6个视频•总计44分钟
Handling missing values: An overview•7分钟
Hands-on activity debrief: Handling missing values in datasets •8分钟
Techniques for removing dataset duplicates•7分钟
Hands-on activity debrief: Removing duplicates in datasets•7分钟
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
显示有关单元内容的信息
6个视频•总计42分钟
Data type conversion techniques•7分钟
Hands-on activity debrief: Practicing data type conversion •8分钟
Standardizing data in Excel•7分钟
Hands-on activity debrief: Standardizing data practice•7分钟
Data normalization techniques•7分钟
Hands-on activity debrief: Data normalization practice•6分钟
5篇阅读材料•总计110分钟
Advanced data conversion techniques•10分钟
Hands-on activity: Practicing data type conversion•30分钟
Hands-on activity: Standardizing data practice•30分钟
Normalization methods in Excel•10分钟
Hands-on activity: Data normalization practice•30分钟
4个作业•总计39分钟
Quiz: Data type conversion and standardization •30分钟
Quiz: Data type conversion•3分钟
Quiz: Data standardization•3分钟
Quiz: Data normalization•3分钟
Text manipulation and column operations
第 4 单元•小时 后完成
单元详情
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
显示有关单元内容的信息
8个视频•总计49分钟
Text manipulation in Excel•5分钟
Text manipulation in large datasets•6分钟
Hands-on activity debrief: Practicing text manipulation•8分钟
Hands-on activity: Advanced text manipulation practice•30分钟
4个作业•总计48分钟
Quiz: Text manipulation and column operations•30分钟
Quiz: Text manipulation•9分钟
Quiz: Column operations•6分钟
Quiz: Advanced text manipulation•3分钟
Prompt development for data analysis workflow
第 5 单元•小时 后完成
单元详情
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
显示有关单元内容的信息
5个视频•总计40分钟
Data workflows in action •7分钟
Hands-on activity debrief: Structuring workflows with prompts•9分钟
Optimizing prompts for improved data workflows •7分钟
Hands-on activity debrief: Optimizing data analysis workflows•8分钟
Cumulative project debrief: Data processing•10分钟
6篇阅读材料•总计93分钟
Understanding data workflows•7分钟
Hands-on activity: Structuring workflows with prompts•30分钟
Discussion: Optimizing data workflows with prompts•10分钟
Mastering prompting: Best practices for efficient data workflows using Copilot in Excel•6分钟
Hands-on activity: Optimizing data analysis workflows•30分钟
Cumulative project: Discussion•10分钟
3个作业•总计42分钟
Quiz: Prompt development for data analysis workflow•30分钟
Quiz: Structuring data analysis workflows•6分钟
Practice quiz: Prompt optimization for data analysis workflows•6分钟
Our goal at Microsoft is to empower every individual and organization on the planet to achieve more.
In this next revolution of digital transformation, growth is being driven by technology. Our integrated cloud approach creates an unmatched platform for digital transformation. We address the real-world needs of customers by seamlessly integrating Microsoft 365, Dynamics 365, LinkedIn, GitHub, Microsoft Power Platform, and Azure to unlock business value for every organization—from large enterprises to family-run businesses. The backbone and foundation of this is Azure.
Do I need prior Excel or data analysis experience for this course?
No prior experience is required. The course is designed for beginners and introduces data cleaning and processing concepts step-by-step using Excel and Copilot.
What tools will I use in this course?
You’ll use Microsoft Excel and Copilot in Excel to clean, organize, transform, and prepare datasets for analysis.
What will I be able to do after completing this course?
You’ll be able to identify data errors, clean and organize datasets, transform data efficiently, and prepare analysis-ready data using Copilot-assisted workflows.
When will I have access to the lectures and assignments?
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.
What will I get if I subscribe to this Specialization?
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.
Is financial aid available?
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.