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ChatGPT for Beginners
Save time with Microsoft Excel
Jan Demiralp
Jan Demiralp
Take your Excel productivity to the next level by learning how to leverage the capabilities of ChatGPT, regardless of whether you are an Excel amateur or seasoned power-user. Over the span of this course, you will learn how to effectively standardize, extract, classify, and generate data through the combined power of Excel and ChatGPT.
Read more
Take your Excel productivity to the next level by learning how to leverage the capabilities of ChatGPT, regardless of whether you are an Excel amateur or seasoned power-user. Over the span of this course, you will learn how to effectively standardize, extract, classify, and generate data through the combined power of Excel and ChatGPT.
Read more
Take your Excel productivity to the next level by learning how to leverage the capabilities of ChatGPT, regardless of whether you are an Excel amateur or seasoned power-user. Over the span of this course, you will learn how to effectively standardize, extract, classify, and generate data through the combined power of Excel and ChatGPT.
Through hands-on projects and real-world scenarios, you will gain practical experience in creating standardized datasets, writing formulas for data cleaning and classification, extracting text from URLs, conducting sentiment analysis, and generating dummy data for surveys. This course offers a unique opportunity to explore the potential of combining AI capabilities with common business challenges faced within Excel. Basic knowledge of Excel is recommended to make the most of this course.
Register for this course and see more details by visiting:
OpenCourser.com/course/1xtjji/chatgpt
What's inside
Syllabus
Project Overview
Through practical, hands-on exercises, in this project, you will learn how to effectively use ChatGPT to assist in standardising, extracting, categorising and generating data in Excel. Note: This project will provide you with step-by-step guidance through instructor-led videos. Unlike some other projects on Coursera, this experience will not utilize a virtual machine. Instead, learners will complete the project on their own browser or device.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Examines the effective use of ChatGPT, an AI tool, in tandem with Excel
Develops skills to transform raw data into standardized, structured datasets
Provides practical experience in solving real-world business challenges using Excel and ChatGPT
Suitable for learners interested in enhancing their Excel productivity and harnessing the potential of AI
Helps learners develop a practical understanding of data cleaning, classification, and generation techniques
Save this course
Save ChatGPT for Beginners: Save time with Microsoft Excel to your list so you can find it easily later:
Save
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in ChatGPT for Beginners: Save time with Microsoft Excel with these
activities:
Review basic Excel functions and shortcuts
Show steps
Strengthen your Excel foundation to enhance your understanding of the course material.
Browse courses on
Excel Basics
Show steps
-
Refer to online tutorials or documentation to review Excel functions
-
Practice using common Excel shortcuts
Participate in a challenge or hackathon related to ChatGPT and data analysis
Show steps
Apply your skills, test your knowledge, and potentially win recognition in a competitive environment.
Show steps
-
Find an appropriate challenge or hackathon
-
Develop a solution using ChatGPT and data analysis techniques
-
Submit your solution and potentially win
Compose a blog post on using ChatGPT to automate data tasks in Excel
Show steps
Reinforce your understanding of ChatGPT's capabilities and enhance your written communication skills by creating an informative blog post.
Browse courses on
Excel Automation
Show steps
-
Research and gather information on ChatGPT's automation capabilities
-
Outline the key points you want to cover in the blog post
-
Write a clear and engaging blog post that explains how to use ChatGPT to automate data tasks in Excel
-
Edit and proofread your blog post for clarity and accuracy
Two other activities
Expand to see all activities and additional details
Show all five activities
Build a data-driven web application using Excel and ChatGPT
Show steps
Apply your knowledge to a hands-on project that integrates Excel, ChatGPT, and web development principles.
Browse courses on
Web Application Development
Show steps
-
Conceptualize and design the web application
-
Set up the Excel workbook and integrate ChatGPT
-
Develop the web application using your preferred framework
-
Test and deploy the application
Organize and summarize key concepts from the course
Show steps
Improve retention and understanding by organizing and summarizing the material presented in the course.
Show steps
-
Gather notes, assignments, and any other relevant course materials
-
Identify key concepts and create summaries
-
Organize the summaries into a structured format
Review basic Excel functions and shortcuts
Show steps
Strengthen your Excel foundation to enhance your understanding of the course material.
Browse courses on
Excel Basics
Show steps
Show steps
Show steps
- Refer to online tutorials or documentation to review Excel functions
- Practice using common Excel shortcuts
Participate in a challenge or hackathon related to ChatGPT and data analysis
Show steps
Apply your skills, test your knowledge, and potentially win recognition in a competitive environment.
Show steps
Show steps
Show steps
- Find an appropriate challenge or hackathon
- Develop a solution using ChatGPT and data analysis techniques
- Submit your solution and potentially win
Compose a blog post on using ChatGPT to automate data tasks in Excel
Show steps
Reinforce your understanding of ChatGPT's capabilities and enhance your written communication skills by creating an informative blog post.
Browse courses on
Excel Automation
Show steps
Show steps
Show steps
- Research and gather information on ChatGPT's automation capabilities
- Outline the key points you want to cover in the blog post
- Write a clear and engaging blog post that explains how to use ChatGPT to automate data tasks in Excel
- Edit and proofread your blog post for clarity and accuracy
Two other activities
Expand to see all activities and additional details
Show all five activities
Build a data-driven web application using Excel and ChatGPT
Show steps
Apply your knowledge to a hands-on project that integrates Excel, ChatGPT, and web development principles.
Browse courses on
Web Application Development
Show steps
Show steps
Show steps
- Conceptualize and design the web application
- Set up the Excel workbook and integrate ChatGPT
- Develop the web application using your preferred framework
- Test and deploy the application
Organize and summarize key concepts from the course
Show steps
Improve retention and understanding by organizing and summarizing the material presented in the course.
Show steps
Show steps
Show steps
- Gather notes, assignments, and any other relevant course materials
- Identify key concepts and create summaries
- Organize the summaries into a structured format
Career center
Learners who complete ChatGPT for Beginners: Save time with Microsoft Excel will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
A Data Analyst helps interpret data and communicate relevant findings. Data Analysts observe trends, patterns, and anomalies within data.
Data Engineer
Data Engineer
A Data Engineer designs, builds, and maintains data systems. Data Engineers use data analysis to understand the data needs of an organization and develop solutions to meet those needs.
Business Analyst
Business Analyst
A Business Analyst is responsible for identifying opportunities for process improvement and resolving complex business problems. Business Analysts use data analysis and problem-solving skills to collect and interpret data that can drive business decisions.
Operations Research Analyst
Operations Research Analyst
An Operations Research Analyst uses mathematical and analytical techniques to solve problems that arise in business and industry. Operations Research Analysts use data analysis to develop models that can help companies improve their efficiency and productivity.
Statistician
Statistician
A Statistician uses statistical methods to collect, analyze, and interpret data. Statisticians use data analysis to understand trends and patterns in data and make predictions.
Risk Analyst
Risk Analyst
A Risk Analyst helps businesses identify and manage risks. Risk Analysts use data analysis to assess the likelihood and impact of risks and develop strategies to mitigate those risks.
Management Consultant
Management Consultant
A Management Consultant advises businesses on how to improve their performance. Management Consultants use data analysis and other techniques to develop solutions that can help companies achieve their goals.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer develops and deploys machine learning models. Machine Learning Engineers use data analysis to train and evaluate machine learning models.
Marketing Analyst
Marketing Analyst
A Marketing Analyst helps businesses understand their customers and develop marketing strategies. Marketing Analysts use data analysis to track and measure the effectiveness of marketing campaigns.
Quantitative Trader
Quantitative Trader
A Quantitative Trader uses mathematical and statistical models to trade financial instruments. Quantitative Traders use data analysis to identify trading opportunities and develop trading strategies.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software applications. Software Engineers use data analysis to understand the user needs and develop software that meets those needs.
Financial Analyst
Financial Analyst
A Financial Analyst helps companies make informed decisions about investments, financial planning, and risk management. Financial Analysts must analyze financial data to make recommendations.
Data Scientist
Data Scientist
A Data Scientist uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. Taking this course will strengthen your ability to extract, classify, and generate data through the combined power of Excel and ChatGPT.
For more career information including salaries, visit:
OpenCourser.com/course/1xtjji/chatgpt
Reading list
We've selected nine books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
ChatGPT for Beginners: Save time with Microsoft Excel.
Provides a comprehensive overview of Excel macros and VBA. It covers the different types of macros and VBA code and shows how to use them to automate tasks and create custom Excel applications.
Provides a comprehensive overview of Excel Power Query. It covers the different types of data sources that Power Query can access and shows how to use Power Query to clean, transform, and load data into Excel.
Save
Provides a comprehensive overview of Excel 365 formulas and functions. It covers the different types of formulas and functions available in Excel 365 and shows how to use them to solve common business problems.
Provides a comprehensive overview of VBA programming for Excel. It great resource for those who want to learn how to create custom Excel applications and automate tasks using VBA.
Save
Provides a comprehensive overview of data analysis techniques in Excel and Power BI. It great resource for those who want to learn how to use these tools to extract insights from data and make data-driven decisions.
Save
Provides a comprehensive overview of Excel PivotTables and PowerPivot. It covers the different types of PivotTables and PowerPivot reports and shows how to use them to create powerful data analysis tools.
Provides a comprehensive overview of Excel charts and graphs. It covers the different types of charts and graphs available in Excel and shows how to use them to create effective data visualizations.
Explores the use of artificial intelligence in Excel, focusing on how to use AI to automate tasks, improve data analysis, and make better decisions. It valuable resource for those who want to stay ahead of the curve in the rapidly evolving field of AI.
Introduces machine learning concepts and techniques and shows how to apply them in Excel. It useful resource for those who want to explore the use of machine learning to automate tasks and improve decision-making in Excel.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/1xtjji/chatgpt
Share
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Effort
2 hours 30 mins
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Jan Demiralp
Language
English
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Good to know
Examines the effective use of ChatGPT, an AI tool, in tandem with Excel
Develops skills to transform raw data into standardized, structured datasets
Provides practical experience in solving real-world business challenges using Excel and ChatGPT
Suitable for learners interested in enhancing their Excel productivity and harnessing the potential of AI
Helps learners develop a practical understanding of data cleaning, classification, and generation techniques
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