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Ahmad Varasteh
In this 2-hour long project-based course, you will learn the basics of communicating with the OpenAI API through prompts specifically designed for Python code generation aimed at data visualization and analysis. This course is tailored to address a unique real-world scenario where you have been hired by an online toy store company called Toy Trendz to help them analyze their product sales data. They have provided you with a sales dataset related to the year 2018 and have presented analytical questions that require effective visualizations.
Read more
In this 2-hour long project-based course, you will learn the basics of communicating with the OpenAI API through prompts specifically designed for Python code generation aimed at data visualization and analysis. This course is tailored to address a unique real-world scenario where you have been hired by an online toy store company called Toy Trendz to help them analyze their product sales data. They have provided you with a sales dataset related to the year 2018 and have presented analytical questions that require effective visualizations.
Read more
In this 2-hour long project-based course, you will learn the basics of communicating with the OpenAI API through prompts specifically designed for Python code generation aimed at data visualization and analysis. This course is tailored to address a unique real-world scenario where you have been hired by an online toy store company called Toy Trendz to help them analyze their product sales data. They have provided you with a sales dataset related to the year 2018 and have presented analytical questions that require effective visualizations.
The challenge in this project lies in Toy Trendz's desire for a system that can convert human language into visualizations based on the data. You will start by learning how to effectively prompt GPT-4 to generate Python code, unlocking the power of natural language understanding to create customized data visualizations.
To get the most out of this course, you'll need access to the OpenAI API and a basic understanding of data analysis concepts, including data types, data manipulation, along with some familiarity with Python.
This course is for those who are experienced data analysis with at least a basic knowledge in Python and want to explore the exciting applications of generative AI in data visualization and analysis.
Register for this course and see more details by visiting:
OpenCourser.com/course/9gfcvz/data
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What's inside
Syllabus
Project Overview
In this 2-hour long project-based course, you will learn the basics of communicating with the OpenAI API through prompts specifically designed for Python code generation aimed at data visualization and analysis. This course is tailored to address a unique real-world scenario where you have been hired by an online toy store company called Toy Trendz to help them analyze their product sales data. They have provided you with a sales dataset related to the year 2018 and have presented analytical questions that require effective visualizations. The challenge in this project lies in Toy Trendz's desire for a system that can convert human language into visualizations based on the data. You will start by learning how to effectively prompt GPT-4 to generate Python code, unlocking the power of natural language understanding to create customized data visualizations.To get the most out of this course, you'll need access to the OpenAI API and a basic understanding of data analysis concepts, including data types, data manipulation, along with some familiarity with Python. This course is for those who are experienced with data analysis with at least a basic knowledge in Python and want to explore the exciting applications of generative AI in data visualization and analysis. To get started with the course, make sure you download the project files from the Task 1 download section. Please note that participants will need approximately $5 of balance on their OpenAI account to complete this course.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches students to communicate with OpenAI API and prompt specifically for Python code generation, unlocking power of natural language understanding to create customized data visualization
Offers hands-on project where students analyze real-world scenario involving sales data visualization and analysis
Relevant for experienced data analysts with basic Python knowledge seeking to explore applications of generative AI in data visualization and analysis
Taught by experienced instructors Ahmad Varasteh
Requires participants to have an OpenAI account with a $5 balance
Save this course
Save Data Visualization with OpenAI API: Generate code with GenAI to your list so you can find it easily later:
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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 Data Visualization with OpenAI API: Generate code with GenAI with these
activities:
Test Python programming skills
Show steps
Recall and strengthen foundational Python programming skills such as data types and data manipulation which are crucial for handling and analyzing data throughout this course.
Browse courses on
Python
Show steps
-
Solve a set of practice problems on data types, variables, and basic operators in Python.
-
Create a simple Python script to perform basic data manipulation tasks such as sorting, filtering, and aggregating data.
Explore OpenAI's API documentation
Show steps
Gain familiarity with OpenAI's API documentation structure and resources, laying the groundwork for effective API integration in the course projects.
Browse courses on
OpenAI API
Show steps
-
Navigate the OpenAI API documentation website.
-
Review the API reference pages for key concepts such as authentication, request formats, and response structures.
-
Explore code examples and tutorials provided by OpenAI.
Participate in a study group for course concepts
Show steps
Engage with peers to discuss course concepts, clarify understanding, and support each other's learning journey.
Show steps
-
Join or form a study group with fellow course participants.
-
Meet regularly to discuss assigned readings, work through practice problems, and share insights.
-
Collaborate on projects and assignments, providing feedback and support to enhance learning outcomes.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice writing Python code for data visualizations
Show steps
Develop proficiency in writing Python code for creating various types of data visualizations, a core skill for effectively communicating data insights.
Browse courses on
Python
Show steps
-
Use Python libraries such as Matplotlib, Seaborn, or Plotly to create basic visualizations like line charts, bar charts, and scatter plots.
-
Explore advanced visualization techniques such as interactive plots, heatmaps, and 3D visualizations.
-
Practice customizing visualizations by modifying chart styles, adding annotations, and handling legends.
Attend a workshop on advanced data visualization techniques
Show steps
Expand your knowledge and skills by attending a workshop focused on advanced data visualization techniques, complementing the course materials.
Show steps
-
Identify and register for a workshop that aligns with your learning goals.
-
Actively participate in the workshop, taking notes and asking questions.
-
Apply the acquired techniques to your own projects or assignments.
Develop a Python script for a specific data visualization task
Show steps
Apply course learnings to a practical scenario by creating a custom Python script that generates a specific data visualization based on a given dataset.
Browse courses on
Python
Show steps
-
Identify a real-world dataset or use the provided Toy Trendz dataset.
-
Define the desired data visualization using libraries like Matplotlib or Seaborn.
-
Write Python code to load the dataset, clean and prepare the data, and generate the visualization.
-
Evaluate the effectiveness of the visualization and make adjustments as needed.
Build a portfolio of data visualizations using GPT-4
Show steps
Showcase your skills and solidify your understanding by creating a portfolio of data visualizations generated using GPT-4, demonstrating your ability to combine natural language prompts with Python code.
Browse courses on
GPT-4
Show steps
-
Gather a collection of interesting datasets or choose from the provided Toy Trendz dataset.
-
Craft effective natural language prompts to guide GPT-4 in generating Python code for various visualizations.
-
Integrate the generated code into your Python scripts and execute them to create the visualizations.
-
Document your work, including the datasets used, prompts, and resulting visualizations.
Test Python programming skills
Show steps
Recall and strengthen foundational Python programming skills such as data types and data manipulation which are crucial for handling and analyzing data throughout this course.
Browse courses on
Python
Show steps
Show steps
Show steps
- Solve a set of practice problems on data types, variables, and basic operators in Python.
- Create a simple Python script to perform basic data manipulation tasks such as sorting, filtering, and aggregating data.
Explore OpenAI's API documentation
Show steps
Gain familiarity with OpenAI's API documentation structure and resources, laying the groundwork for effective API integration in the course projects.
Browse courses on
OpenAI API
Show steps
Show steps
Show steps
- Navigate the OpenAI API documentation website.
- Review the API reference pages for key concepts such as authentication, request formats, and response structures.
- Explore code examples and tutorials provided by OpenAI.
Participate in a study group for course concepts
Show steps
Engage with peers to discuss course concepts, clarify understanding, and support each other's learning journey.
Show steps
Show steps
Show steps
- Join or form a study group with fellow course participants.
- Meet regularly to discuss assigned readings, work through practice problems, and share insights.
- Collaborate on projects and assignments, providing feedback and support to enhance learning outcomes.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice writing Python code for data visualizations
Show steps
Develop proficiency in writing Python code for creating various types of data visualizations, a core skill for effectively communicating data insights.
Browse courses on
Python
Show steps
Show steps
Show steps
- Use Python libraries such as Matplotlib, Seaborn, or Plotly to create basic visualizations like line charts, bar charts, and scatter plots.
- Explore advanced visualization techniques such as interactive plots, heatmaps, and 3D visualizations.
- Practice customizing visualizations by modifying chart styles, adding annotations, and handling legends.
Attend a workshop on advanced data visualization techniques
Show steps
Expand your knowledge and skills by attending a workshop focused on advanced data visualization techniques, complementing the course materials.
Show steps
Show steps
Show steps
- Identify and register for a workshop that aligns with your learning goals.
- Actively participate in the workshop, taking notes and asking questions.
- Apply the acquired techniques to your own projects or assignments.
Develop a Python script for a specific data visualization task
Show steps
Apply course learnings to a practical scenario by creating a custom Python script that generates a specific data visualization based on a given dataset.
Browse courses on
Python
Show steps
Show steps
Show steps
- Identify a real-world dataset or use the provided Toy Trendz dataset.
- Define the desired data visualization using libraries like Matplotlib or Seaborn.
- Write Python code to load the dataset, clean and prepare the data, and generate the visualization.
- Evaluate the effectiveness of the visualization and make adjustments as needed.
Build a portfolio of data visualizations using GPT-4
Show steps
Showcase your skills and solidify your understanding by creating a portfolio of data visualizations generated using GPT-4, demonstrating your ability to combine natural language prompts with Python code.
Browse courses on
GPT-4
Show steps
Show steps
Show steps
- Gather a collection of interesting datasets or choose from the provided Toy Trendz dataset.
- Craft effective natural language prompts to guide GPT-4 in generating Python code for various visualizations.
- Integrate the generated code into your Python scripts and execute them to create the visualizations.
- Document your work, including the datasets used, prompts, and resulting visualizations.
Career center
Learners who complete Data Visualization with OpenAI API: Generate code with GenAI will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
A Data Scientist leverages their knowledge of data analysis, modeling, and visualization to extract meaningful insights from data. This course, Data Visualization with OpenAI API: Generate code with GenAI, teaches a Data Scientist the basics of communicating with the OpenAI API through prompts specifically designed for Python code generation aimed at data visualization and analysis. This will allow a Data Scientist to work more efficiently and effectively with data.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build, deploy, and maintain machine learning models. This course, Data Visualization with OpenAI API: Generate code with GenAI, can help a Machine Learning Engineer create customized data visualizations that can help them monitor the performance of their models and identify areas for improvement.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to identify trends and patterns. This course, Data Visualization with OpenAI API: Generate code with GenAI, can help a Data Analyst create clear and concise data visualizations that can be used to communicate insights to stakeholders.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to help businesses make better decisions. This course, Data Visualization with OpenAI API: Generate code with GenAI, can help a Business Intelligence Analyst create data visualizations that can be used to identify opportunities and solve problems.
Data Visualization Specialist
Data Visualization Specialist
Data Visualization Specialists create visual representations of data to help communicate insights to stakeholders. This course, Data Visualization with OpenAI API: Generate code with GenAI, can help a Data Visualization Specialist create more sophisticated and interactive data visualizations.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. This course, Data Visualization with OpenAI API: Generate code with GenAI, can help a Software Engineer create more user-friendly and visually appealing software applications.
Web Developer
Web Developer
Web Developers design and develop websites. This course, Data Visualization with OpenAI API: Generate code with GenAI, can help a Web Developer create more visually appealing and interactive websites.
User Experience Designer
User Experience Designer
User Experience Designers design the user interface and user experience for websites and applications. This course, Data Visualization with OpenAI API: Generate code with GenAI, can help a User Experience Designer create more user-friendly and visually appealing user interfaces.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. This course, Data Visualization with OpenAI API: Generate code with GenAI, can help a Product Manager create data visualizations that can be used to track the progress of a product and identify areas for improvement.
Marketing Manager
Marketing Manager
Marketing Managers are responsible for the development and execution of marketing campaigns. This course, Data Visualization with OpenAI API: Generate code with GenAI, can help a Marketing Manager create data visualizations that can be used to track the performance of a marketing campaign and identify areas for improvement.
Sales Manager
Sales Manager
Sales Managers are responsible for the development and execution of sales strategies. This course, Data Visualization with OpenAI API: Generate code with GenAI, can help a Sales Manager create data visualizations that can be used to track the performance of a sales team and identify areas for improvement.
Financial Analyst
Financial Analyst
Financial Analysts analyze financial data to identify trends and make recommendations. This course, Data Visualization with OpenAI API: Generate code with GenAI, can help a Financial Analyst create data visualizations that can be used to communicate insights to stakeholders.
Operations Manager
Operations Manager
Operations Managers are responsible for the day-to-day operations of a business. This course, Data Visualization with OpenAI API: Generate code with GenAI, can help an Operations Manager create data visualizations that can be used to track the performance of a business and identify areas for improvement.
Project Manager
Project Manager
Project Managers are responsible for the planning and execution of projects. This course, Data Visualization with OpenAI API: Generate code with GenAI, can help a Project Manager create data visualizations that can be used to track the progress of a project and identify areas for improvement.
Business Analyst
Business Analyst
Business Analysts analyze business data to identify trends and make recommendations. This course, Data Visualization with OpenAI API: Generate code with GenAI, can help a Business Analyst create data visualizations that can be used to communicate insights to stakeholders.
For more career information including salaries, visit:
OpenCourser.com/course/9gfcvz/data
Reading list
We've selected seven 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
Data Visualization with OpenAI API: Generate code with GenAI.
Provides a comprehensive overview of the principles and practices of effective data visualization. It covers topics such as choosing the right chart type, designing for readability, and avoiding common pitfalls. It valuable reference for anyone looking to improve their data visualization skills.
Provides a comprehensive overview of the Python data science ecosystem, covering topics such as data manipulation, data analysis, and machine learning. It valuable resource for anyone looking to learn the fundamentals of data science in Python.
Provides a comprehensive overview of the Python data analysis ecosystem, covering topics such as data manipulation, data analysis, and machine learning. It valuable resource for anyone looking to learn the fundamentals of data analysis in Python.
A guide to the ggplot2 package in R, which is widely used for creating high-quality data visualizations. Covers topics such as data transformation, plot customization, and statistical modeling, enabling users to create sophisticated and informative visualizations.
A comprehensive guide to using Python for data analysis. Covers topics such as data manipulation, statistical analysis, and machine learning, providing a strong foundation for using Python in the context of data visualization.
A comprehensive guide to Tableau, one of the leading data visualization and analytics software. Covers topics such as data preparation, dashboard creation, and data exploration, providing a practical foundation for using Tableau in the context of data visualization.
Save
A user-friendly introduction to the design principles of data visualization. Covers topics such as visual perception, cognitive processes, and aesthetic considerations, providing a solid foundation for creating visually appealing and informative visualizations.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/9gfcvz/data
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Effort
2 hours
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Ahmad Varasteh
Language
English
Good to know
Teaches students to communicate with OpenAI API and prompt specifically for Python code generation, unlocking power of natural language understanding to create customized data visualization
Offers hands-on project where students analyze real-world scenario involving sales data visualization and analysis
Relevant for experienced data analysts with basic Python knowledge seeking to explore applications of generative AI in data visualization and analysis
Taught by experienced instructors Ahmad Varasteh
Requires participants to have an OpenAI account with a $5 balance
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