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OpenAI

Prompt Engineering for Data Professionals

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.

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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.

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What's inside

Syllabus

Course Overview
Prompt Engineering for Data Professionals

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

Coming soon We're preparing activities for OpenAI: Prompt Engineering for Data Professionals. These are activities you can do either before, during, or after a course.

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 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 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 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 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
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 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 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 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 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 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 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 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 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 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 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.

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.
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.

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