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Course Outline
Getting Started with ChatGPT in Data Science and Analytics
- Explaining what ChatGPT is and its underlying mechanisms.
- A broad perspective on ChatGPT's contribution to data science and analytics.
Conducting Data Exploration with ChatGPT
- Utilizing ChatGPT to perform exploratory data analysis.
- Querying ChatGPT using natural language to extract data insights.
- Using ChatGPT to aid in data cleaning and preprocessing steps.
Deriving Insights with ChatGPT
- Employing ChatGPT to identify patterns and trends within datasets.
- Using ChatGPT to support feature engineering and selection processes.
- Leveraging ChatGPT to assist in generating and testing hypotheses.
Applying ChatGPT to Predictive Modeling
- Integrating ChatGPT into predictive modeling workflows.
- Creating predictions and forecasts with the assistance of ChatGPT.
- Using ChatGPT to help select and evaluate models.
ChatGPT for Natural Language Processing (NLP)
- Applying ChatGPT for text analysis and sentiment evaluation.
- Pulling significant information from unstructured text data.
- Embedding ChatGPT into NLP pipelines and practical applications.
Best Practices for Using ChatGPT in Data Science and Analytics
- Fine-tuning ChatGPT for specialized data science objectives.
- Navigating bias and fairness issues in AI-assisted analytics.
- Tracking and assessing the performance and output of ChatGPT.
Ethical Considerations for ChatGPT in Data Science and Analytics
- Guaranteeing responsible and transparent AI usage in data science.
- Reducing risks and addressing ethical complexities related to ChatGPT.
- Grasping the ethical implications of deploying AI models driven by ChatGPT.
Future Trends and Advancements
- Investigating recent developments in ChatGPT and the broader data science field.
- Considering the impact of AI on the future landscape of data analytics.
- Identifying opportunities for innovation and expansion using ChatGPT in data science.
Recap and Forward-Looking Steps
Requirements
- Fundamental computer literacy
- General understanding of data science methodologies 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