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Course Outline
Introduction to ChatGPT Applications in Data Science and Analytics
- Defining ChatGPT and its operational mechanisms
- Summary of ChatGPT's strategic value in data science and analytics
Facilitating Data Exploration via ChatGPT
- Employing ChatGPT for exploratory data analysis initiatives
- Querying ChatGPT in natural language to obtain data insights
- Supporting data cleaning and preprocessing workflows using ChatGPT
Deriving Strategic Insights with ChatGPT
- Utilizing ChatGPT to identify patterns and trends within datasets
- Applying ChatGPT to support feature engineering and selection processes
- Aiding in the formulation and validation of hypotheses with ChatGPT
Applying ChatGPT to Predictive Modeling
- Integrating ChatGPT into predictive modeling frameworks
- Producing predictions and forecasts through ChatGPT
- Assisting in model selection and performance evaluation using ChatGPT
ChatGPT for Natural Language Processing (NLP)
- Employing ChatGPT for textual analysis and sentiment assessment
- Extracting key information from unstructured text records
- Incorporating ChatGPT into NLP pipelines and operational 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 ChatGPT performance and outcomes
Ethical Deployment of ChatGPT in Data Science and Analytics
- Ensuring responsible and transparent utilization of AI in data science
- Mitigating risks and ethical issues associated with ChatGPT
- Understanding ethical frameworks for deploying AI models powered by ChatGPT
Future Trends and Developments
- Examining advancements in ChatGPT and data science capabilities
- Implications of AI on the evolution of data analytics
- Opportunities for innovation and growth with ChatGPT in data science and analytics
Summary and Next Steps
Requirements
- Basic computer proficiency
- Familiarity with data science concepts and relevant tools
Audience
- Data scientists
- Data analysts
- Business analysts
- Data engineers
14 Hours
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