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There are 5 modules in this course
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.
What's included
13 videos13 readings5 assignments
Show info about module content
13 videos•Total 82 minutes
Introduction to data cleaning and processing with Copilot in Excel •4 minutes
Hands-on activity debrief: Data error correction with Copilot in Excel•6 minutes
Hands-on activity debrief: Identifying errors in datasets•6 minutes
Using Copilot to address data errors•7 minutes
Hands-on activity debrief: Correcting data errors•6 minutes
Transpose data for trends analysis•6 minutes
Date-time formatting techniques•6 minutes
Advanced data transformation techniques•7 minutes
Hands-on activity debrief: Transforming data for analysis•7 minutes
13 readings•Total 189 minutes
Hands-on activity: Data error correction with Copilot in Excel•15 minutes
Introduction to data cleaning & processing with Copilot in Excel•5 minutes
Introduction to the Coursera Community•10 minutes
Getting started with Copilot in Excel •2 minutes
How to Get Started with Microsoft Copilot•10 minutes
Guide to performing basic tasks using Copilot in Excel•10 minutes
Hands-on activity: Activating Copilot•20 minutes
Common data errors and solutions•7 minutes
Hands-on activity: Identifying errors in datasets•30 minutes
Case studies on common data errors•10 minutes
Hands-on activity: Correcting data errors•30 minutes
Best practices for data error correction•10 minutes
Hands-on activity: Transforming data for analysis•30 minutes
5 assignments•Total 57 minutes
Quiz: Performing basic tasks using Copilot in Excel•12 minutes
Quiz: Common data errors•6 minutes
Quiz: Data error correction •3 minutes
Quiz: Data transformation•6 minutes
Quiz: Data preparation and error identification•30 minutes
Handling missing values and duplicates
Module 2•3 hours to complete
Module details
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.
What's included
6 videos5 readings4 assignments
Show info about module content
6 videos•Total 44 minutes
Handling missing values: An overview•7 minutes
Hands-on activity debrief: Handling missing values in datasets •8 minutes
Techniques for removing dataset duplicates•7 minutes
Hands-on activity debrief: Removing duplicates in datasets•7 minutes
Quiz: Handling missing values and duplicates•30 minutes
Data type conversion and standardization
Module 3•3 hours to complete
Module details
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.
What's included
6 videos5 readings4 assignments
Show info about module content
6 videos•Total 42 minutes
Data type conversion techniques•7 minutes
Hands-on activity debrief: Practicing data type conversion •8 minutes
Standardizing data in Excel•7 minutes
Hands-on activity debrief: Standardizing data practice•7 minutes
Data normalization techniques•7 minutes
Hands-on activity debrief: Data normalization practice•6 minutes
5 readings•Total 110 minutes
Advanced data conversion techniques•10 minutes
Hands-on activity: Practicing data type conversion•30 minutes
Hands-on activity: Standardizing data practice•30 minutes
Normalization methods in Excel•10 minutes
Hands-on activity: Data normalization practice•30 minutes
4 assignments•Total 39 minutes
Quiz: Data type conversion•3 minutes
Quiz: Data standardization•3 minutes
Quiz: Data normalization•3 minutes
Quiz: Data type conversion and standardization •30 minutes
Text manipulation and column operations
Module 4•3 hours to complete
Module details
This module covers techniques for manipulating text data and performing column operations using Copilot in Excel, ensuring efficient data organization and improved readability.
What's included
8 videos4 readings4 assignments
Show info about module content
8 videos•Total 49 minutes
Text manipulation in Excel•5 minutes
Text manipulation in large datasets•6 minutes
Hands-on activity debrief: Practicing text manipulation•8 minutes
Hands-on activity: Advanced text manipulation practice•30 minutes
4 assignments•Total 48 minutes
Quiz: Text manipulation•9 minutes
Quiz: Column operations•6 minutes
Quiz: Advanced text manipulation•3 minutes
Quiz: Text manipulation and column operations•30 minutes
Prompt development for data analysis workflow
Module 5•4 hours to complete
Module details
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.
What's included
5 videos6 readings3 assignments1 peer review
Show info about module content
5 videos•Total 40 minutes
Data workflows in action •7 minutes
Hands-on activity debrief: Structuring workflows with prompts•9 minutes
Optimizing prompts for improved data workflows •7 minutes
Hands-on activity debrief: Optimizing data analysis workflows•8 minutes
Cumulative project debrief: Data processing•10 minutes
6 readings•Total 93 minutes
Understanding data workflows•7 minutes
Hands-on activity: Structuring workflows with prompts•30 minutes
Discussion: Optimizing data workflows with prompts•10 minutes
Mastering prompting: Best practices for efficient data workflows using Copilot in Excel•6 minutes
Hands-on activity: Optimizing data analysis workflows•30 minutes
Cumulative project: Discussion•10 minutes
3 assignments•Total 42 minutes
Quiz: Structuring data analysis workflows•6 minutes
Practice quiz: Prompt optimization for data analysis workflows•6 minutes
Quiz: Prompt development for data analysis workflow•30 minutes
1 peer review•Total 60 minutes
Cumulative project: Data processing •60 minutes
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