Visualizing Data with Python in Excel

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Speaker : GEORGE MOUNT
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When : Thursday, July 17, 2025
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Time : 01 : 00 PM EST
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George Mount is the founder of Stringfest Analytics. He has over 10 years of experience in data analytics and holds master’s degrees in both finance and information systems from Case Western Reserve University. George is widely recognized an expert in the fields of data analysis and Microsoft Excel and is the author of Advancing into Analytics: From Excel to Python and R (O’Reilly, 2021) and Modern Data Analytics in Excel: Using Power Query, Power Pivot, and More for Enhanced Data Analytics (O’Reilly, 2024). He is also a recipient of Microsoft’s Most Valuable Professional (MVP) award for technical excellence and community contributions in Excel.
George has extensive experience in reporting, analytics, and modeling and is a respected trainer in these fields. He provides training for companies throughout North America and beyond.
Effective data visualization is crucial for making informed decisions. While Excel remains a cornerstone for data analysis, its native charting tools are limited when it comes to creating advanced and customized visualizations. If you’ve ever found yourself frustrated by Excel’s inability to handle complex plots or intricate chart designs, you’re not alone. But what if you could bring the power of Python’s advanced visualization libraries directly into Excel, without needing to leave your familiar interface? That’s exactly what this webinar will show you how to do.
This hour-long session is designed for anyone who wants to learn how to use Python in Excel to build sophisticated charts that would otherwise be challenging, if not impossible, to create with Excel’s built-in tools. Python, with its powerful libraries such as Matplotlib and Seaborn, provides the perfect solution to this problem, enabling you to create virtually any type of visualization you need. However, traditionally, integrating Python into your workflow required switching between different applications or learning to write complex code. That’s where this webinar comes in.
We’ll demonstrate how you can integrate Python directly into Excel, allowing you to build powerful, highly customizable visualizations without ever leaving the program. By the end of the session, you’ll know how to set up your Python environment in Excel, how to use Python’s visualization libraries to create advanced charts, and how to automate visual updates as your data changes. You’ll learn how to fine-tune your charts to make them more insightful, professional, and visually compelling. With Python, you’re not limited by the constraints of Excel’s native tools, meaning you can create visuals that go beyond the typical charts and tap into more complex statistical representations.
But we won’t stop there. In addition to demonstrating how to use Python within Excel, we’ll also explore how you can harness the power of AI to streamline the entire process. Using Copilot in Excel, which is powered by artificial intelligence, you’ll be able to automate the creation of your charts, speeding up the process significantly. Copilot can analyze your data and suggest the best chart types, making it easier for you to quickly visualize your data without having to manually choose and tweak each chart type. As an added benefit, Copilot also offers AI-powered customization suggestions, ensuring that your charts are not only effective but also polished and professional.
This combination of Python and AI assistance is a game-changer for anyone who works with data regularly. Rather than spending time manually adjusting charts or being limited by Excel’s charting options, you’ll be able to create exactly the visualizations you need, quickly and efficiently. With Python, you’ll have complete control over your visualizations.
If you’re still relying solely on Excel’s native charts, you’re likely missing out on the more advanced and flexible visualizations that Python and AI can provide. The tools you’ll learn in this webinar will not only help you enhance your visualizations but also make you more efficient, giving you a competitive edge in today’s fast-paced data landscape. As more businesses and analysts adopt Python and AI-driven workflows, those who fail to adapt may find themselves at a disadvantage, unable to keep up with the growing demands for more advanced, automated, and insightful data presentations.
By attending this webinar, you’ll gain practical, hands-on experience with Python-powered charts in Excel, and you’ll learn how to use Copilot to make the entire process faster, easier, and more intuitive. Whether you’re a data analyst, business professional, or just someone looking to improve your Excel skills, this session will provide you with the tools you need to take your data visualizations to the next level. Don’t miss out on the chance to future-proof your data skills and stay ahead of the curve.
Areas Covered
- Introduction to integrating Python with Excel for data visualization
- Understanding the Python environment inside Excel
- Introduction to Python visualization libraries (Matplotlib, Seaborn)
- Creating advanced charts in Python that are difficult or impossible in Excel (e.g., small multiples, jointplots, jitterplots)
- Customizing visualizations in Python to fine-tune color schemes, axes, annotations, and more
- Introduction to Copilot in Excel powered by AI for chart creation
- Using Copilot to suggest and generate effective visualizations based on your data
Who Should Attend
Finance & Business Analysis
- Financial Analyst
- Business Analyst
- Investment Analyst
- Risk Analyst
- Credit Analyst
Data & Reporting Roles
- Data Analyst
- BI Analyst
- Reporting Analyst
- Data Visualization Specialist
- Performance Analyst
Operations & Strategy
- Operations Analyst
- Supply Chain Analyst
- Strategy Analyst
- Market Research Analyst
Marketing & Sales Analytics
- Marketing Analyst
- Digital Marketing Analyst
- Sales Analyst
- Customer Insights Analyst
IT & Automation Roles
- IT Business Analyst
- Data Engineer (working in Excel-heavy environments)
- Automation Specialist
- Excel/Power BI Consultant
Education & Research
- Academic Researcher
- Research Analyst
- Policy Analyst
Accounting & Auditing
- Accountant (who frequently works with financial models in Excel)
- Auditor (who needs advanced data visualization for reporting)
Why Should You Attend
Are you stuck trying to create charts in Excel that don’t quite capture your data’s full potential? Struggling with complex visualizations that Excel’s native charts can’t handle? Fear not – this webinar is your ticket to unlocking the full power of data visualization by combining the best of both worlds: Python and Excel.
The world of data analysis is evolving quickly. While Excel remains a cornerstone of many businesses, it’s no longer enough to rely solely on its built-in tools when your data demands something more advanced. And yet, learning complex tools like Python can feel like a daunting challenge, especially if you’re not already a programmer. That's where this webinar comes in.
We’ll show you how to tap into the raw power of Python without leaving the comfort of Excel. Imagine seamlessly incorporating stunning, highly customizable plots into your Excel sheets, charts that would have been almost impossible to build within Excel’s default charting toolset. What if you could automate advanced visualizations without needing to learn complex programming? Now, imagine doing all of that using Python within Excel itself. It’s not science fiction – it’s Python in Excel, and it's here to transform the way you work with data.
But here’s the catch: If you don’t learn these techniques, you’ll be stuck using outdated methods. You could keep relying on clunky Excel charts that often limit your analysis, leaving you frustrated when you can’t visualize the story your data is trying to tell. Worse yet, the competition may already be using these cutting-edge tools, gaining insights faster, and creating richer visualizations while you’re left behind. The digital transformation is here, and you need to stay ahead of the curve or risk being left in the dust.
Not only will this session show you how to integrate Python’s flexibility with Excel, but it will also introduce you to the groundbreaking AI assistance of Copilot in Excel. Using Copilot, you can let AI take over the heavy lifting of chart creation, making your workflow smoother and saving you time. You'll learn how to quickly get the results you need, with suggestions and tweaks that will help you build polished charts in a fraction of the time.
If you’ve ever felt overwhelmed by Excel’s charting limitations or frustrated by how much manual work is involved in data visualization, this webinar is for you. Don’t let the fear of complexity hold you back – come see how easy it is to bring Python-powered charts into your workflow with AI assistance, and say goodbye to the visual roadblocks that have been slowing you down.
Don’t miss your chance to future-proof your skills and gain a competitive edge. The future of data visualization is waiting – and it starts now.
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$160.00
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