ChatGPT Advanced Data Analysis Free Course For Beginners
Introduction
This beginner-level course for data analysts offers advanced data analysis techniques. Although this is meant for beginners, the participant is expected to have a full understanding of manual data analysis techniques. This course utilizes the power of ChatGPT to filter data. This course automates most of the manual work that otherwise requires a lot of time and effort. From filtering out data as required to visualizing it, this online training program will equip the participant to do it all.
What Will You Gain from This Course?
After completing this course, the participant will:
- Have a full understanding of automating tasks in the usual workflow.
- Be able to use ChatGPT code interpreter.
- Be able to automate reading and creating PDFs, PowerPoint, Excel, images, videos, and more.
- Be able to visualize complex data in PDFs.
- Be able to create prompts from scratch to automate data analysis tasks.
- Acquire a shareable certificate as a validation of these acquired skills.
- Automate the editing and management of images and videos while cataloging them.
- Be able to transform a document into a training presentation and associated quizzes.
- Be able to assemble data based on a set of documents.
Skills Acquired:
- Data Visualization
- Automated Data Extraction
- Quality Assurance of Data
- Comprehending Data Documentation
- Editing of Document
- Management of Image and Video Data
- Assembling Data for Presentation
Who Can Benefit From This Course?
The course is designed for:
- Beginners who are working in data analysis or still in the learning phase.
- Data analysts with limited time and want to automate the data analysis process.
- Data enthusiasts who want to amplify their productivity without spending a lot of money.
- Beginners who find it hard to turn Excel files into data visualization and presentations.
- Business owners who struggle with data analysis and want to automate the resizing and editing of videos/images while also cataloging them in a CSV.
- Beginners struggling with social media marketing content to be extracted from documents or video transcripts.
Course Content
5 Modules – 44 Videos – 10 Readings – 7 Assignments – Competition of Certificate
Introduction to ChatGPT Advanced Data Analysis
The first module of this course introduces the data analysis process, its methods, and terminologies. It will take more than two hours to complete. The module starts with a basic introduction and then compares ChatGPT as an Advanced Data Analysis tool and some easy ways to use the AI tool.
Students will also learn some helpful terms to ease the data analysis process, the process of delegating work, the documentation process, word solving, and Analyzing MLB Stats with Code Interpreter. They will also get to explore simpler and more fun ways to use ChatGPT to do all the data analysis tasks, especially Documenting, Analyzing MLB Stats with Code Interpreter, and delegating important tasks.
- 10 - Videos
- 6 - Readings
- 3 - Assignments
Introduction to ChatGPT Data Analysis Use Cases
This module will take nearly one hour and offers some advanced knowledge of data structuring and data analysis. The student will get to learn about working with media files, extracting data with advanced code, retrieving information in a small document, and working with structured data.
This module also explores concepts like automating zip files, turning basic conversation into Software Utility features, and working with small documents. Students will get to learn basic automation tasks that otherwise might require a lot of effort and time.
- 7 - Videos
- 1 - Assignment
Tackle the Right Problems, Appropriate Use of ChatGPT Advanced Data Analysis
The third module is all about problem-solving and using ChatGPT and similar AI tools for advanced data analysis. It spans around two hours. The student will learn about the types of problems that can be solved with ChatGPT Advanced Data Analysis, the automation of related tasks, and the use of ChatGPT as an assistant and a quality assurance tool.
Learners will get to explore ChatGPT for tasks like problem-solving, creativity, and exploring better ideas for scaling. The participant will be able to use ChatGPT as a problem-solving tool, especially data analysis. The assignment part of this module helps the learner assess the information retrieval and problem-solving skills learned from the course.
- 7 - Videos
- 2 - Readings
- 1 - Assignment
Human and AI Process Planning In ChatGPT Advanced Data Analysis
This is the second-last module, and it will take nearly one hour to complete. This module explores all the basic tasks that any data analysis has to perform on a daily basis. Learners will explore different ways to perform these tasks with the help of ChatGPT.
This section offers detailed insight into basic data analysis concepts like Extract, Transform, AI / Analyze, Create, etc. Participants will also get to learn the difference between Human and AI Planning, Helpful Techniques for AI planning, Saving & Reusing Plans as well as Flipped Interaction Planning. All these concepts will build a solid foundation and help the data analyst navigate through complex tasks more swiftly and effortlessly.
- 9 - Videos
- 1 - Reading
- 1 - Assignment
Error Identification Techniques Error Handling and Techniques for Large Documents & Outputs
The last module, which lasts two hours, helps the student improve quality assurance. The learner will identify errors and ensure consistency. This module equips the student with different approaches to data extraction and analysis.
Students will explore different test cases focusing on quality assurance and error diagnosis and then resolve these issues with code, i.e., Python and codeless methods. There is a portion dedicated to large document analysis, identifying issues from source documents, and even checking consistency with the source document. Finally, the assessment part of this module offers a hands-on experience, allowing the learner to put all the newly learned skills to use.
- 11- Videos
- 1 - Reading
- 1 - Assignment
Description
The ChatGPT Advanced Data Analysis course has five modules. These modules are designed progressively to ensure that beginner and seasoned data analysts benefit equally. The first module covers the basics, so the beginner can learn all about the different tasks to be performed as a data analyst.
It covers the fundamental concepts, terminologies, and tasks as well. By the end of the first module, the student gets a good understanding of different tasks and how these tasks can be performed by using ChatGPT or similar AI tools. It also covers the alternative methods to automate the tasks completely.
The second module utilizes user cases to help the student with advanced tasks. It equips the student with basic prompts that can help with extracting data with advanced code, working with media files, working with structured data, and retrieving information.
Similarly, the third and fourth module of this course utilizes some basic codes for the sake of advanced data analysis. This section helps the student converse with ChatGPT so the tasks can be fully automated. Students will also get to learn ways to delegate tasks, automate tasks, and then use ChatGPT as an assistant.
Finally, the last module of this course equips the participant with quality assurance skills. By the end of the last module, the learner will get to know about diagnosing the error, removing the error and even ensuring the consistency of the data in both the newly generated document and source document.
This course covers the basics but also makes sure that anyone with no proper knowledge of programming gets to learn about advanced data analysis with AI tools. It also helps with problem-solving and empowers the student with enough knowledge to choose the tool based on the type of task. This course is also ideal for prompt learning because it covers different styles of prompt creation.
Meet the Instructor
Dr. Jules White - Professor of Computer Science - University of Maryland, College Park, Vanderbilt University
This course is a joint venture between Dr. Jules White and the University of Maryland. Jules is Director of Vanderbilt’s Initiative on the Future of Learning & Generative AI, Associate Dean of Strategic Learning Programs in the School of Engineering, and Professor of Computer Science in the Dept. of Computer Science at Vanderbilt University. He gained a lot of attention after creating an online training program for prompt engineering. He also earned an award from the National Science Foundation CAREER for his valuable work. So far, he has published more than 160 papers with a focus on large language modules, cyber security, and software engineering in domains ranging from healthcare to manufacturing. Jules is known for his valuable research in tech, especially on topics like Mobile Application computing, optimization, and security Methods (MAGNUM).