ChatGPT Data Analysis Training Overview
This ChatGPT Advanced Data Analysis training course teaches attendees how to transform raw data and analyze data with ChatGPT to enhance data-driven decision-making. Students learn how to prepare, upload, and process a variety of data formats such as CSV, Excel, PDF, and multimedia files. This course covers ChatGPT's advanced data analysis features to clean and preprocess data, generate insightful reports and dynamic visualizations, and build predictive machine learning models. Participants explore practical use cases across business analytics, social media insights, and scientific and market research.
Location and Pricing
Accelebrate offers instructor-led enterprise training for groups of 3 or more online or at your site. Most Accelebrate classes can be flexibly scheduled for your group, including delivery in half-day segments across a week or set of weeks. To receive a customized proposal and price quote for private corporate training on-site or online, please contact us.
In addition, some courses are available as live, instructor-led training from one of our partners.
Objectives
- Import data, manipulate data, and perform exploratory data analysis (EDA) with ChatGPT Advanced Data Analysis
- Generate insightful reports and data visualizations for uncovering trends and synthesizing large datasets
- Build machine learning models for regression and classification across a variety of use cases
- Understand the basics of prompt engineering and its importance for LLMs
- Identify the factors that affect prompt effectiveness
- Understand the different ways of structuring prompts and using examples
- Explore advanced prompting techniques, such as zero-shot prompting, few-shot prompting, chain-of-thought prompting, and retrieval augmented generation
Prerequisites
All attendees must be familiar with programming, AI basics, machine learning, and analytics concepts.
Outline
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Introduction
Understanding the Prompt
- The Basics
- Pitfalls
- Highlighted Techniques
- Understanding the Limitation
Introduction to Large Language Models
- Historical Context
- How LLMs (Large Language Models) Evolved
- Trends in LLMs
- Today’s Cloud and Offline LLMs
- How LLMs Work
- LLM Use Cases
- The Importance of Prompt Engineering
Techniques for Crafting Effective Prompts
- Factors Affecting Prompt Effectiveness
- Ways of Structuring Prompts
- Prompting with Examples
Advanced Prompting Techniques
- Zero-Shot Prompting
- Few-Shot Prompting
- Chain-of-Thought Prompting
- Combining Multiple Techniques
- Self Consistency Prompting
- Generated Knowledge Prompting
- Tree of Thought Prompting
- Automated Prompt Engineering
- Retrieval Augmented Generation
Data Preparation and Upload in ChatGPT
- Uploading and Preparing Data
- Activating Advanced Data Analysis
- File Upload Process
- Data Cleaning and Preprocessing
- Supported File Formats
- CSV: Tabular Data Analysis
- Excel: Interpreting Spreadsheet Data
- Text and Image Files: Analysis Applications
- Full Documents: Insights from PDFs and Other Formats
- Audio and Video: Multimedia Data Exploration
Analysis and Reporting with ChatGPT
- Generating Reports and Visualizations
- Report Generation: Summarizing Key Findings
- Visualizations: Creating Graphs and Charts
- Saving Work: Preserving Analysis Results
- Practical Use Cases
- Business Analytics: Sales, Customer Behavior, Financial Metrics
- Social Media Insights: Trends, Sentiment, Engagement Analysis
- Scientific Research: Data Exploration, Statistical Tests, Visualization
- Market Research: Trend Analysis, Competitor Analysis, Consumer Preferences
Conclusion
Training Materials
All Analyze Data with ChatGPT training students receive comprehensive courseware.
Software Requirements
All attendees must have a modern web browser and an Internet connection.
