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Course Outline
Introduction to ChatGPT in Data Science and Analytics
- Defining ChatGPT and explaining its operational mechanics.
- Providing an overview of ChatGPT’s function within data science and analytics.
Conducting Data Exploration with ChatGPT
- Applying ChatGPT for exploratory data analysis.
- Formulating natural language queries to extract data insights.
- Using ChatGPT to assist with data cleaning and preprocessing.
Deriving Insights with ChatGPT
- Identifying patterns and trends in datasets using ChatGPT.
- Utilizing ChatGPT for feature engineering and selection processes.
- Supporting hypothesis generation and testing via ChatGPT.
ChatGPT in Predictive Modeling
- Integrating ChatGPT into predictive modeling workflows.
- Creating predictions and forecasts with ChatGPT assistance.
- Aiding in model selection and evaluation using ChatGPT.
ChatGPT for Natural Language Processing (NLP)
- Leveraging ChatGPT for text analysis and sentiment assessment.
- Extracting relevant information from unstructured text data.
- Embedding ChatGPT into NLP pipelines and applications.
Best Practices for ChatGPT in Data Science and Analytics
- Fine-tuning ChatGPT for specific data science objectives.
- Managing bias and fairness in AI-assisted analytics.
- Monitoring and assessing ChatGPT’s performance and outcomes.
Ethical Application of ChatGPT in Data Science and Analytics
- Promoting responsible and transparent AI usage in data science.
- Mitigating risks and addressing ethical challenges linked to ChatGPT.
- Recognizing ethical implications when deploying AI models powered by ChatGPT.
Future Trends and Evolutions
- Investigating advancements in ChatGPT and data science.
- Analyzing the impact of AI on the future of data analytics.
- Identifying opportunities for innovation and growth through ChatGPT in data science.
Summary and Subsequent Steps
Requirements
- Fundamental computer proficiency
- Basic understanding of data science concepts and associated tools
Target 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