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Copilot in Excel Beyond the Basics
- Using Copilot on Multiple Tables
- Using Copilot for Non-Excel Tasks
- Generating Synthetic Data with Python Faker
- Text Analysis and Sentiment Analysis with Advanced Analysis in Python
- Time Series Analysis with Advanced Analysis in Python
- Advanced Data Visualization with Advanced Analysis in Python
Overview of the webinar
In this webinar, participants will explore advanced capabilities that take Excel automation and data analysis to the next level. We’ll begin by examining how Copilot can be used on multiple tables, allowing users to streamline complex data manipulation and analysis workflows with ease. Beyond Excel, we’ll look at Copilot’s potential for non-Excel tasks, such as automating cross-platform operations and integrating with other applications.
Next, we’ll dive into generating synthetic data using the Python Faker library, a valuable skill for simulating datasets when real data is scarce or privacy is a concern. Building on this, we’ll move into the realm of text analysis and sentiment analysis using Advanced Analysis with Python. Participants will learn how to uncover insights from large bodies of text, enabling smarter business decisions driven by customer feedback or market trends.
We’ll also cover time series analysis, teaching attendees how to handle and forecast trends using Python’s robust analytics libraries—all integrated within Excel. Lastly, the webinar will focus on advanced data visualization techniques using Python’s visualization libraries to create dynamic, insightful charts and graphs directly in Excel. This webinar is designed to give users a comprehensive toolkit for tackling advanced data challenges using Excel and Python in tandem, making it ideal for Excel power users ready to push the boundaries of what’s possible with Copilot.
Who should attend?
- Data Analyst
- Business Analyst
- Financial Analyst
- Marketing Analyst
- Operations Manager
- Project Manager
- Financial Controller
- Accountant
- Data Scientist
- Business Intelligence Specialist
- IT Manager
- HR Analyst
- Sales Manager
- Administrative Coordinator
- Excel Trainer
- Management Consultant
Why should you attend?
This training will take your Copilot for Excel skills to the next level, unlocking advanced capabilities to help you tackle complex tasks. You'll learn how to seamlessly handle multiple data tables, automate tasks beyond Excel, and generate synthetic data using Python’s Faker library—crucial for testing models and analyses.
With advanced Python integration, we’ll dive into text analysis for sentiment detection and explore time series forecasting, giving you tools to predict trends and patterns with confidence. Plus, you'll enhance your data storytelling with advanced visualizations, enabling you to present insights more effectively. This session is perfect for those who want to go beyond the basics and leverage the full potential of AI and Python in Excel for real-world business scenarios.
Faculty - Mr.George Mount
George Mount is the founder and CEO of Stringfest Analytics, a consulting firm specializing in analytics education and upskilling. He has worked with leading bootcamps, learning platforms and practice organizations to help individuals excel at analytics.
George regularly blogs and speaks on data analysis, data education and workforce development and is the author of Advancing into Analytics: From Excel to Python and R (O’Reilly Media, 2021). He is a recipient of the Microsoft Most Valuable Professional (MVP) award for exceptional technical expertise and community advocacy in the field of Excel.
George holds a bachelor’s degree in economics from Hillsdale College and master’s degrees in finance and information systems from Case Western Reserve University. He resides in Cleveland, Ohio.