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Duration 14 hours
Course Outline
Introduction to ChatGPT in Data Science and Analytics
- What is ChatGPT and its underlying mechanics?
- Overview of ChatGPT's contribution to data science and analytics
Data Exploration using ChatGPT
- Leveraging ChatGPT for exploratory data analysis (EDA)
- Using natural language queries to extract data insights via ChatGPT
- Supporting data cleaning and preprocessing tasks with ChatGPT
Insight Generation with ChatGPT
- Applying ChatGPT to identify patterns and trends within datasets
- Utilizing ChatGPT for feature engineering and selection processes
- Assisting in hypothesis formulation and testing with ChatGPT
ChatGPT in Predictive Modeling
- Integrating ChatGPT into predictive modeling workflows
- Generating predictions and forecasts using ChatGPT capabilities
- Assisting with model selection and evaluation through ChatGPT
ChatGPT for Natural Language Processing (NLP)
- Applying ChatGPT to text analysis and sentiment analysis tasks
- Extracting meaningful information from unstructured text data
- Incorporating ChatGPT into NLP pipelines and applications
Best Practices for ChatGPT in Data Science and Analytics
- Fine-tuning ChatGPT for specialized data science objectives
- Addressing bias and fairness concerns in AI-assisted analytics
- Monitoring and evaluating the performance and outcomes of ChatGPT
Ethical Considerations for ChatGPT in Data Science
- Ensuring responsible and transparent application of AI in data science
- Mitigating risks and addressing ethical challenges related to ChatGPT usage
- Understanding ethical frameworks for deploying AI models powered by ChatGPT
Future Trends and Developments
- Exploring advancements in ChatGPT technology and data science
- The impact of AI on the future landscape of data analytics
- Identifying opportunities for innovation and growth with ChatGPT in data science and analytics
Summary and Recommended Next Steps
Requirements
- Fundamental computer proficiency
- Familiarity with data science concepts and associated tools
Target Audience
- Data scientists
- Data analysts
- Business analysts
- Data engineers
Testimonials (2)
The interactivity and the gradual introduction of the topics
Alessandro Pignatelli - Istituto Nazionale di Geofisica e Vulcanologia
Course - ChatGPT for Data Science and Analytics
scope of the material