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Matthew Soucoup
Prompt engineering unlocks ChatGPT’s potential for data analysis. This course will teach you how to create
prompts to improve your data analysis productivity.
Read more
Prompt engineering unlocks ChatGPT’s potential for data analysis. This course will teach you how to create prompts to improve your data analysis productivity.
Read more
Prompt engineering unlocks ChatGPT’s potential for data analysis. This course will teach you how to create prompts to improve your data analysis productivity.
Prompt engineering unlocks ChatGPT’s potential for data analysis. In this course, OpenAI: Prompt Engineering for Data Professionals, you’ll learn to improve your productivity by writing effective prompts. First, you’ll explore what prompts are and their basic structure. Next, you’ll discover how to clean and prep data with prompt engineering. Finally, you’ll learn how to use prompts for data exploration. When you’re finished with this course, you’ll have the skills and knowledge of prompt engineering needed to analyze your data.
Register for this course and see more details by visiting:
OpenCourser.com/course/tbzres/openai
What's inside
Syllabus
Course Overview
Prompt Engineering for Data Professionals
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Explores prompt engineering, a technique that can improve data analysis productivity through ChatGPT
Taught by Matthew Soucoup, who is recognized for his expertise in prompt engineering and data analysis
Suitable for data professionals seeking to enhance their productivity using ChatGPT
Covers essential concepts of prompt engineering, including prompt structure, data cleaning, and exploration
Empowers learners to harness ChatGPT's capabilities for efficient and effective data analysis
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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 OpenAI: Prompt Engineering for Data Professionals with these
activities:
Organize Your Course Resources
Show steps
Organizing your course materials will help you stay on top of the content and easily access the information you need for successful learning.
Show steps
-
Gather all the course materials, including lecture notes, slides, assignments, and readings.
-
Create a system for organizing the materials, such as using folders or digital note-taking apps.
-
Regularly review and update your organized materials.
ChatGPT Fundamentals Refresher
Show steps
Refreshing your understanding of ChatGPT fundamentals will provide a strong foundation for building your data analysis skills.
Show steps
-
Review the basics of ChatGPT, including its capabilities and limitations.
-
Familiarize yourself with the different types of prompts and their purposes.
-
Understand the principles of effective prompt engineering.
-
Practice writing simple prompts for data analysis tasks.
Word Prompt Experiments
Show steps
Experimenting with different word prompts through hands-on practice will help you gain a better understanding of how to effectively craft prompts for data analysis.
Browse courses on
Prompt Engineering
Show steps
-
Choose a dataset and identify a specific data analysis task.
-
Create multiple variations of prompts for the same task.
-
Run the prompts through ChatGPT and analyze the results.
-
Compare and contrast the effectiveness of different prompts.
-
Refine your prompts based on the insights gained.
One other activity
Expand to see all activities and additional details
Show all four activities
Help Others Understand ChatGPT
Show steps
Mentoring others will not only reinforce your own understanding of prompt engineering but also contribute to the growth of the community.
Show steps
-
Identify individuals who are new to ChatGPT or prompt engineering.
-
Offer your assistance and support.
-
Share your knowledge and experience to help them get started.
Organize Your Course Resources
Show steps
Organizing your course materials will help you stay on top of the content and easily access the information you need for successful learning.
Show steps
Show steps
Show steps
- Gather all the course materials, including lecture notes, slides, assignments, and readings.
- Create a system for organizing the materials, such as using folders or digital note-taking apps.
- Regularly review and update your organized materials.
ChatGPT Fundamentals Refresher
Show steps
Refreshing your understanding of ChatGPT fundamentals will provide a strong foundation for building your data analysis skills.
Show steps
Show steps
Show steps
- Review the basics of ChatGPT, including its capabilities and limitations.
- Familiarize yourself with the different types of prompts and their purposes.
- Understand the principles of effective prompt engineering.
- Practice writing simple prompts for data analysis tasks.
Word Prompt Experiments
Show steps
Experimenting with different word prompts through hands-on practice will help you gain a better understanding of how to effectively craft prompts for data analysis.
Browse courses on
Prompt Engineering
Show steps
Show steps
Show steps
- Choose a dataset and identify a specific data analysis task.
- Create multiple variations of prompts for the same task.
- Run the prompts through ChatGPT and analyze the results.
- Compare and contrast the effectiveness of different prompts.
- Refine your prompts based on the insights gained.
One other activity
Expand to see all activities and additional details
Show all four activities
Help Others Understand ChatGPT
Show steps
Mentoring others will not only reinforce your own understanding of prompt engineering but also contribute to the growth of the community.
Show steps
Show steps
Show steps
- Identify individuals who are new to ChatGPT or prompt engineering.
- Offer your assistance and support.
- Share your knowledge and experience to help them get started.
Career center
Learners who complete OpenAI: Prompt Engineering for Data Professionals will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists are professionals who use data to create and test models that can predict future outcomes. To do this, they use a variety of methods, including machine learning, artificial intelligence, and statistics. As ChatGPT can assist with these tasks, OpenAI: Prompt Engineering for Data Professionals may be useful in this role.
Data Analyst
Data Analyst
Data Analysts are professionals who use data to understand and solve business problems. To do this, they use a variety of methods, including data mining, statistical analysis, and visualization. Because ChatGPT can assist one in completing these tasks more efficiently, OpenAI: Prompt Engineering for Data Professionals may be useful in this role.
Business Analyst
Business Analyst
Business Analysts are professionals who use data to analyze business processes and identify areas for improvement. To do this, they use a variety of methods, including data mining, statistical analysis, and visualization. Due to ChatGPT's ability to help with these relevant tasks, OpenAI: Prompt Engineering for Data Professionals may be useful in this role.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts are professionals who use data to solve complex problems in a variety of industries. To do this, they use a variety of methods, including mathematical modeling, simulation, and optimization. As ChatGPT can assist with these types of tasks, OpenAI: Prompt Engineering for Data Professionals may be useful in this role.
Statistician
Statistician
Statisticians are professionals who use data to design and conduct studies, analyze data, and interpret results. To do this, they use a variety of methods, including probability theory, sampling, and regression analysis. As ChatGPT can help with these techniques, OpenAI: Prompt Engineering for Data Professionals may be useful in this role.
Data Privacy Analyst
Data Privacy Analyst
Data Privacy Analysts are professionals who help organizations comply with data privacy laws and regulations. To do this, they use a variety of tools and techniques, including data privacy impact assessments, data breach response, and data security audits. As ChatGPT can assist with some of these tasks, OpenAI: Prompt Engineering for Data Professionals may be useful in this role.
Data Architect
Data Architect
Data Architects are professionals who design and manage the architecture of data systems. To do this, they use a variety of tools and technologies, including data modeling, database design, and data integration. As ChatGPT can assist with some of these tasks, OpenAI: Prompt Engineering for Data Professionals may be useful in this role.
Database Administrator
Database Administrator
Database Administrators are professionals who manage and maintain databases. To do this, they use a variety of tools and technologies, including database software, operating systems, and network protocols. As ChatGPT can assist with some of these tasks, OpenAI: Prompt Engineering for Data Professionals may be useful in this role.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts are professionals who use data to develop financial models. To do this, they use a variety of methods, including probability theory, statistics, and optimization. As ChatGPT can help with some of these tasks, OpenAI: Prompt Engineering for Data Professionals may be useful in this role.
Market Research Analyst
Market Research Analyst
Market Research Analysts are professionals who use data to understand consumer behavior and trends. To do this, they use a variety of methods, including surveys, interviews, and analysis. Since ChatGPT can assist in these tasks, OpenAI: Prompt Engineering for Data Professionals may be useful in this role.
Data Governance Analyst
Data Governance Analyst
Data Governance Analysts are professionals who develop and implement policies and procedures for the management of data. To do this, they use a variety of tools and techniques, including data modeling, data quality assessment, and data security. As ChatGPT can assist with some of these tasks, OpenAI: Prompt Engineering for Data Professionals may be useful in this role.
Data Engineer
Data Engineer
Data Engineers are professionals who design, build, and maintain data systems. To do this, they use a variety of technologies, including databases, programming languages, and cloud computing. As ChatGPT can assist with some of these tasks, OpenAI: Prompt Engineering for Data Professionals may be useful in this role.
Information Security Analyst
Information Security Analyst
Information Security Analysts are professionals who protect an organization's information systems from unauthorized access, use, disclosure, disruption, modification, or destruction. To do this, they use a variety of tools and techniques, including risk assessment, security monitoring, and incident response. As ChatGPT can assist with some of these tasks, OpenAI: Prompt Engineering for Data Professionals may be useful in this role.
Project Manager
Project Manager
Project Managers are professionals who plan, organize, and coordinate projects. To do this, they use a variety of tools and techniques, including project planning, risk management, and stakeholder management. As ChatGPT can assist with some of these tasks, OpenAI: Prompt Engineering for Data Professionals may be useful in this role.
Software Developer
Software Developer
Software Developers are professionals who design, develop, and implement software applications. To do this, they use a variety of programming languages and technologies. As using ChatGPT has the potential to improve software development productivity, OpenAI: Prompt Engineering for Data Professionals may be useful in this role.
For more career information including salaries, visit:
OpenCourser.com/course/tbzres/openai
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
OpenAI: Prompt Engineering for Data Professionals.
Provides a practical guide to machine learning with Python libraries. Covers supervised and unsupervised learning, including deep learning with Keras and TensorFlow. Offers code examples and exercises for hands-on experience.
Covers the essential concepts of deep learning and provides a practical understanding of neural networks. The focus on Python makes it accessible to data professionals who may not have a background in machine learning.
Provides a comprehensive overview of data analysis with Python and Pandas. Covers data cleaning, manipulation, and visualization. Useful for those who want to enhance their data analysis skills in conjunction with prompt engineering.
A comprehensive guide to natural language processing in Python. Covers a wide range of topics including text classification, sentiment analysis, and machine translation. More advanced than some other books on this list but offers in-depth coverage.
A classic textbook on statistical learning. Provides a theoretical foundation for data analysis and machine learning. Offers a more comprehensive treatment of statistical concepts than what is covered in the course.
Save
Provides a practical guide to the data science workflow. Covers data cleaning, analysis, and visualization. Emphasizes real-world applications and ethical considerations in data science.
A gentle introduction to machine learning with Python. Covers the basics of supervised and unsupervised learning, as well as model evaluation and selection. Offers a good balance between theory and practice.
A beginner-friendly introduction to machine learning. Provides a broad overview of the field and its applications. Useful for those who want to get a general understanding of machine learning concepts.
Teaches the basics of Python programming and automation. Covers tasks such as web scraping, data manipulation, and repetitive tasks. Useful for those who want to learn the fundamentals of automation and scripting.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/tbzres/openai
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Time
22 hours
Level
Introductory
Via
Pluralsight
Instructor
Matthew Soucoup
Language
English
Good to know
Explores prompt engineering, a technique that can improve data analysis productivity through ChatGPT
Taught by Matthew Soucoup, who is recognized for his expertise in prompt engineering and data analysis
Suitable for data professionals seeking to enhance their productivity using ChatGPT
Covers essential concepts of prompt engineering, including prompt structure, data cleaning, and exploration
Empowers learners to harness ChatGPT's capabilities for efficient and effective data analysis
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