Course Outline
Introduction to ChatGPT for Data Science and Analytics
- What is ChatGPT and how does it work?
- Overview of ChatGPT's role in data science and analytics
Data Exploration with ChatGPT
- Leveraging ChatGPT for exploratory data analysis
- Asking natural language questions to ChatGPT for data insights
- Assisting in data cleaning and preprocessing with ChatGPT
Generating Insights with ChatGPT
- Using ChatGPT to uncover patterns and trends in data
- Leveraging ChatGPT for feature engineering and selection
- Assisting in hypothesis generation and testing with ChatGPT
ChatGPT for Predictive Modeling
- Incorporating ChatGPT in predictive modeling workflows
- Generating predictions and forecasts with ChatGPT
- Assisting in model selection and evaluation using ChatGPT
ChatGPT for Natural Language Processing (NLP)
- Utilizing ChatGPT for text analysis and sentiment analysis
- Extracting meaningful information from unstructured text data
- Incorporating ChatGPT in NLP pipelines and applications
Best Practices for ChatGPT in Data Science and Analytics
- Fine-tuning ChatGPT for specific data science tasks
- Addressing bias and fairness considerations in AI-assisted analytics
- Monitoring and evaluating ChatGPT performance and results
Ethical Use of ChatGPT in Data Science and Analytics
- Ensuring responsible and transparent use of AI in data science
- Mitigating risks and ethical challenges associated with ChatGPT
- Understanding ethical considerations in deploying AI models powered by ChatGPT
Future Trends and Developments
- Exploring advancements in ChatGPT and data science
- Implications of AI in the future of data analytics
- Opportunities for innovation and growth with ChatGPT in data science and analytics
Summary and Next Steps
Requirements
- Basic computer experience
- Familiarity with data science concepts and tools
Audience
- Data scientists
- Data analysts
- Business analysts
- Data engineers
Testimonials (5)
I very much appreciated the way the trainer presented everything. I understood everything even if Finance is not my area, he made sure that every participant was on the same page, while keeping up with the time left. The exercises were placed at good intervals. Communication with the participants was always there. The material was perfect, not too much, not too little. He elaborated very well on a bit more complicated subjects so that it can be understood by everyone.
Diana
Course - ChatGPT for Finance
The subject matter and the way it was presented.
Mark Mackintosh - IUM Insurance
Course - ChatGPT for Executives
I like the way Sonia interact with audience, she made the webinar alive not boring like others webinar. I also got surprised by the ChatGPT and really impress.
NURUL FARIHAH BINTI ABD MALEK - HRD CORP
Course - ChatGPT for Accounting
bulding the case of an integration of chatgpt for HR purpose
Clelia - Proximus
Course - ChatGPT for Human Resources
Practical examples in Insurance