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ChatGPT Advanced Data Analysis

This ChatGPT Advanced Data Analysis (ChatGPT ADA) course teaches attendees to leverage ChatGPT's advanced data analysis features to clean and preprocess data, generate insightful reports, create...

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Course Code WA3487
Duration 2 days
Available Formats Classroom

This ChatGPT Advanced Data Analysis (ChatGPT ADA) course teaches attendees to leverage ChatGPT's advanced data analysis features to clean and preprocess data, generate insightful reports, create dynamic visualizations, and build predictive machine learning models. Students learn how to prepare, upload, and process a variety of data formats such as CSV, Excel, PDF, and multimedia files. Participants explore practical use cases across business analytics, social media insights, and scientific and market research.

Skills Gained

  • 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.

Course Details

Course Outline

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