LinkedIn – Excel and ChatGPT: Data Analysis Power Tips 2023-10
LinkedIn – Excel and ChatGPT: Data Analysis Power Tips 2023-10 Downloadly IRSpace

Excel and ChatGPT course: Data Analysis Power Tips. Data analytics has revolutionized the way we work, and now with the rise of artificial intelligence, data professionals have access to tools that allow them to work smarter and faster than ever before. In this beginner-friendly course, instructor Chris Dutton shows you how to use tools like Excel and ChatGPT simultaneously for greater efficiency and smarter, data-driven decisions. Chris and the Maven Analytics team discuss how AI is revolutionizing data analytics, introduce the art of query engineering, explore tips and best practices for generating accurate output from continuous models, and address common limitations and challenges. they pay During the course, you’ll learn some of ChatGPT’s most powerful use cases for data science and analytics, and get hands-on experience using ChatGPT to explain and interpret code, create formulas, troubleshoot errors, optimize complex queries, and more. brought
What you will learn:
- How artificial intelligence is revolutionizing data analysis
- Familiarity with artificial intelligence, large language models and ChatGPT
- Query engineering tips
- ChatGPT for Excel
This course is suitable for people who:
- Interested in learning how to use artificial intelligence to analyze data
- Want to use Excel and ChatGPT simultaneously for more efficiency
- Looking to learn how to explain and interpret code using ChatGPT
- Want to use ChatGPT to create formulas, troubleshoot errors, and optimize complex queries
Excel and ChatGPT course specifications: Data Analysis Power Tips
- Publisher: LinkedIn
- Instructor: Chris Dutton
- Training level: beginner
- Training duration: 1 hour and 41 minutes
Course headings
Images of Excel and ChatGPT course: Data Analysis Power Tips
Sample video of the course
Installation guide
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English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
218 MB