ChatGPT for Data Analytics Tutorial

Introduction

• Purpose: Tutorial on using ChatGPT for data analytics.
• Benefits: Helps save time, analyze and visualize data, find insights quickly.

Step-by-Step Process

• Objective: Demonstrate the integration of ChatGPT into daily workflow.
• Example:
  • Dataset Analysis: Data science job postings.
  • Initial Steps: Drag dataset into ChatGPT and prompt analysis.
  • Outcome: Identified key columns like job title, salary, skills.

Exploratory Data Analysis (EDA)

• Descriptive Statistics: Analysis on non-numeric and numeric columns.
• Visualization:
  • Column Chart: Showcase job title frequencies.
  • Interactive Chart: Explore insights via dynamic views.

Confirming Insights

• Web Search Enhanced: Verify top roles in data science.
• Search Findings: Data scientists, engineers, analysts top roles with sources.

Report Generation

• Report Creation Tool: ChatGPT's canvas mode for interactive editing.
• Customization: Tailor report content and visuals for colleagues.

Data Analytics Project Process

• Exploratory Data Analysis: Examine job titles, schedules, skill breakdown.
• Research Questions:
  • Salaries: Median values comparison.
  • Key Skills: Skills focus for top roles.

ChatGPT features for Data Analysis

• Versions Compared: Free vs Plus versions.
• Advantages: Plus version offers advanced models and time-saving capabilities.
• Interactive Web Search: Collaborate with external resources for enriched analysis.

Technical Utilization

• Project Objective Definition: Clear outlining prevents rabbit holes.
• Custom Instructions in Settings: Set context for seamless interactions.
• Visualizations: Line charts, pie charts, column charts, scatter plots for comprehensive insights.

Data Cleaning

• Challenges: Removing redundancies and preparing data for analysis.
• Example: Extract and uniquely row list skills.

GPTs in Action

• Scholarly Resources: Access and integrate academic research findings.
• Third-party Application Integration: Enhance document design via Canva.

Documentation and Reporting

• Final Deliverables: Comprehensive report showcasing all insights and visualizations.
• Collaboration Platforms: Use tools like Notion for sharing with colleagues.

Conclusion

• Efficiency: ChatGPT significantly reduces the time spent on data analysis tasks.
• Future Applications: Explore enhanced workflows with emerging ChatGPT features.

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