ChatGPT Advanced Data Analysis

Vanderbilt University via Coursera

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Details

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Provider

Coursera
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Effort

10 hours 41 minutes
Sessions

Self-Paced
Level

Beginner
Subtitles

Kazakh, German, Hindi, Russian, Swedish, Korean, Portuguese, Greek, English, Italian, French, Chinese, Spanish, Arabic, Thai, Ukrainian, Japanese, Indonesian, Polish, Dutch, Turkish, Hungarian, Bengali, Pashto, Urdu, Azerbaijani, Farsi

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Overview

ChatGPT Advanced Data Analysis is going to transform tasks by helping amplify your productivity and supporting your creativity. ChatGPT Advanced Data Analysis can help you augment your intelligence and automate tasks, such as: 1. Turning an Excel file into visualizations and then slides inside a PowerPoint presentation; extracting data from a series of PDFs 2. Answering questions about what is in the PDFs, and visualizing the data; automatically determining if a receipt complies with a travel policy captured in a PDF 3. Transforming a document into a training presentation and associated quizzes; reading and reorganizing a set of documents based on what they contain 4. Producing social media and marketing content from a series of documents or video transcripts 5. Automating resizing and editing of videos/images while also cataloging them in a CSV Anyone with ChatGPT Advanced Data Analysis can tap into these capabilities without any prior experience in programming. The course teaches you how to converse with ChatGPT Advanced Data Analysis to accomplish these tasks, how to think about problem solving, and what types of tasks are good fits for the tool. You will learn a wide range of building blocks that you can apply in your own work and life. Large language models respond to instructions and questions posed by users in natural language statements, known as “prompts”. Although large language models will disrupt many fields, most users lack the skills to write effective prompts. Expert users, who understand how to write good prompts, are orders of magnitude more productive and can unlock significantly more creative uses for these tools. This course will introduce you to prompt writing skills that target ChatGPT Advanced Data Analysis.

Syllabus

Introduction to ChatGPT Advanced Data Analysis

In this module, you’ll be introduced to ChatGPT Advanced Data Analysis and what makes it different from standard ChatGPT. You’ll explore how it works with uploaded files to read documents, analyze data, create visualizations, and generate useful outputs like spreadsheets, presentations, and reorganized files. You’ll also learn simple mental models and prompting approaches to help you use the tool effectively, understand its strengths and limitations, and start applying it to real tasks in your work or daily life.

Introduction to ChatGPT Advanced Data Analysis Use Cases

In this module, you will explore practical interaction patterns for working with documents, structured data, media, and collections of files in ChatGPT Advanced Data Analysis. You will learn how to read and reshape small documents, inspect and visualize structured datasets, transform media files, and automate tasks across multiple files using zip archives. The module also introduces ways to judge task difficulty, especially when working with structured versus unstructured data, small versus large documents, and tasks that require information to be brought into the conversation for more reliable reasoning.

Tackle the Right Problems: Appropriate Use of ChatGPT Advanced Data Analysis

In this module, you will learn how to identify high-value problems for ChatGPT Advanced Data Analysis and apply a practical framework for using AI effectively and responsibly. You will explore how to choose tasks that are easy to verify, benefit from partial progress, and support rather than replace human reasoning. You will also examine the ACHIEVE framework for using AI to aid coordination, reduce tedious work, support creativity and problem solving, provide a safety net, and help strong ideas scale more quickly. Through real examples, you will see how ChatGPT Advanced Data Analysis can support planning, communication, analysis, and follow-through in ways that keep humans actively involved in judgment and decision-making.

Human and AI Process Planning in ChatGPT Advanced Data Analysis

In this module, you will learn practical workflows for using ChatGPT Advanced Data Analysis to move from raw files to useful outputs. You will explore the extract–transform–AI–create pattern, learn when to reshape data before analysis, and examine how ChatGPT Advanced Data Analysis can help you generate drafts in a wide range of formats. You will also compare step-by-step prompting with AI planning, learn techniques for refining and saving plans, and use question-driven planning to help the tool build better workflows for more complex tasks.

Error Identification Techniques, Error Handling, and Techniques for Large Documents & Outputs

In this module, you will learn practical strategies for troubleshooting ChatGPT Advanced Data Analysis when tasks do not work as expected. You will explore techniques for prompting alternate methods, steering text analysis away from Python when GPT-4 reasoning is needed, and revising earlier prompts to correct errors more effectively. The module also covers ways to reduce hallucinations, validate outputs using identifiers, quotations, and test cases, and work with large documents and large outputs by breaking them into manageable parts, building indexes, and using outlines to preserve structure and continuity.