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
Ce cours fait partie de Microsoft Excel Certificat Professionnel
Instructeur : Microsoft
Inclus avec 
Expérience recommandée
Ce que vous apprendrez
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.
Compétences que vous acquerrez
- Catégorie : Error Identification
- Catégorie : Data standardization
- Catégorie : Workflow Optimization
- Catégorie : Data Transformation
- Catégorie : Data Standardization
- Catégorie : Data Cleaning
Détails à connaître
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novembre 2024
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Il y a 5 modules dans ce cours
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.
Inclus
14 vidéos13 lectures5 devoirs
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.
Inclus
6 vidéos5 lectures4 devoirs
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.
Inclus
6 vidéos5 lectures4 devoirs
This module covers techniques for manipulating text data and performing column operations using Copilot in Excel, ensuring efficient data organization and improved readability.
Inclus
8 vidéos4 lectures4 devoirs
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.
Inclus
5 vidéos6 lectures3 devoirs1 évaluation par les pairs
Recommandé si vous êtes intéressé(e) par Data Analysis
University of Colorado Boulder
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