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Copilot in Excel helps you do more with your data by generating formula column suggestions, showing insights in charts and PivotTables, and highlighting interesting data.
Tip For more great ideas on using Copilot in Excel, check out the Excel blog at http://aka.ms/ExcelCopilotBlog.
Open Excel.
Open a workbook stored on OneDrive or SharePoint.
Important Your data needs to be formatted in specific ways (see Format data for Copilot in Excel).
Select Copilot on the ribbon to open the chat pane or select a cell, then select the Copilot icon next to it.
Enter your prompts (or select a prompt if you selected the icon next to a cell), then start working with Copilot.
Here are some samples to get you started:
• "Create a bar graph showing the sales growth between Q2 and Q3."
• "Bold the top 3 values in Annual Sales."
• "Add a new column showing the percentage difference between column A and column C."Note Accessing Copilot from the icon next to a cell not only allows a better flow for the work you're doing, but it helps you discover prompt options so you can gain expertise quickly. The prompts you see may vary.
Explore more Copilot prompts.
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Microsoft Copilot for Data Science Specialization is a comprehensive program designed to enhance your data science capabilities using AI-powered tools. This specialization focuses on leveraging Microsoft Copilot to automate tasks, generate code, and streamline data workflows, allowing you to focus on higher-level data analysis and decision-making1.
Key Features and Learning Outcomes
The specialization consists of three courses that cover various aspects of data science, including generative AI, data preparation, and data analysis. Here are some key features and learning outcomes:
Generative AI for Data Science: Learn to define and differentiate types of generative AI models, use Microsoft Copilot to generate code, analyze data, and build generative models. Identify practical use cases for generative AI in data science, such as data augmentation and anomaly detection1.
Data Preparation and Evaluation: Assess and improve data quality using Copilot's analysis tools, generate synthetic datasets, and automate tasks like formatting, deduplication, and standardization. Develop strategies for integrating Copilot into existing data workflows1.
Data Analysis, Visualization, and Communication: Utilize Microsoft Copilot for in-depth data analysis and forecasting, generate clear and engaging data visualizations, and craft persuasive reports and presentations tailored for both technical and non-technical stakeholders2.
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