ChatGPT for Data Science and Analytics Training Course
ChatGPT is an advanced AI-based language model that can understand and generate human-like text. In the field of data science and analytics, ChatGPT can be leveraged to assist in data exploration, generate insights, and facilitate data-driven decision-making.
This instructor-led, live training (online or onsite) is aimed at data professionals who wish to harness the power of ChatGPT to enhance their data analysis and exploration workflows.
By the end of this training, participants will be able to:
- Understand the fundamentals of ChatGPT and its applications in data science and analytics.
- Utilize ChatGPT to assist in data exploration and analysis tasks.
- Leverage ChatGPT to generate insights and support decision-making processes.
- Implement best practices for integrating ChatGPT into data science workflows.
Format of the Course
- Interactive lectures and discussions.
- Hands-on exercises and practice sessions.
- Real-world case studies and examples.
- Q&A sessions to address specific use cases and challenges.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
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
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Testimonials (2)
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
Practical examples in Insurance
Viren - Hollard Insure
Course - ChatGPT
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