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
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customised Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from £3200 + VAT*
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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