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Duration 14 hours
Course Outline
Introduction to ChatGPT in Data Science and Analytics
- Defining ChatGPT and explaining its operational mechanics.
- Reviewing the role ChatGPT plays in the fields of data science and analytics.
Exploring Data with ChatGPT
- Applying ChatGPT to facilitate exploratory data analysis.
- Formulating natural language queries to ChatGPT to uncover data insights.
- Using ChatGPT to aid in data cleaning and preprocessing tasks.
Creating Insights via ChatGPT
- Employing ChatGPT to identify patterns and trends within datasets.
- Utilizing ChatGPT to support feature engineering and selection processes.
- Assisting with hypothesis generation and testing using ChatGPT.
ChatGPT for Predictive Modeling
- Integrating ChatGPT into predictive modeling workflows.
- Generating predictions and forecasts with the help of ChatGPT.
- Assisting in model selection and evaluation processes using ChatGPT.
ChatGPT for Natural Language Processing (NLP)
- Leveraging ChatGPT for text analysis and sentiment assessment.
- Extracting key information from unstructured text data.
- Incorporating ChatGPT into NLP pipelines and related applications.
Best Practices for Using ChatGPT in Data Science
- Fine-tuning ChatGPT to address specific data science requirements.
- Addressing bias and fairness in AI-assisted analytics.
- Monitoring performance and evaluating the results produced by ChatGPT.
Ethical Considerations for ChatGPT in Data Science
- Ensuring responsible and transparent AI application in data science.
- Mitigating risks and addressing ethical challenges linked to ChatGPT.
- Understanding ethical implications when deploying AI models powered by ChatGPT.
Future Trends and Developments
- Examining advancements in ChatGPT and the broader data science landscape.
- Discussing the future impact of AI on data analytics.
- Identifying opportunities for innovation and growth through ChatGPT in data science.
Summary and Next Steps
Requirements
- Fundamental computer proficiency
- Basic knowledge of data science concepts and common 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