The Department of Statistics and its student society CSTS organized a seminar-cum-workshop on Generative AI for efficient data analysis, with resource person Dr. Javed Iqbal (Oracle Certified Professional).
The Department of Statistics and its student society CSTS (COMSATS Statistics Society), under the supervision of Faculty Advisor Sir Nasir Inayat/Ali Taqi successfully organized an informative seminar-cum-workshop on April 28, 2025 at COMSATS University Islamabad, Lahore Campus. The event focused on the revolutionary role of Generative AI in efficient data analysis.
Resource Person
Dr. Javed Iqbal
(Oracle Certified Professional)
Objectives of the Seminar
- To introduce students to the concepts and tools of Generative AI.
- To demonstrate practical techniques for enhancing productivity in data analysis.
- To teach effective Prompt Engineering for better AI utilization.
Key Highlights
1. Introduction to Generative AI
- Discussion on the growing role of AI in data-driven industries.
- Addressing traditional data analysis challenges with AI-based solutions.
2. Basics of Prompt Engineering
- Zero-shot prompting: Direct questions without examples.
- Few-shot prompting: Providing examples for better outputs.
- Chain-of-Thought prompting: Stepwise reasoning for solving complex problems.
3. Applications of AI in Data Analysis
- Data cleaning automation using AI.
- Choosing appropriate statistical tests through AI guidance.
- Improving data interpretation to avoid common analytical errors.
- Handling PDF data extraction smartly with AI tools.
4. Interactive Practice Sessions
- Exercises to build and refine AI prompts.
- Practical examples covering sales data, medical terms, and finance.
- Real-time demonstrations on data cleaning and choosing the right statistical tests.
5. Major Takeaways
- Applying the 80/20 rule: A small set of AI skills can create a major impact.
- Generative AI as a productivity booster, not a replacement for expert thinking.
- Motivation to keep exploring and innovating with AI in academic and professional fields.
This impactful seminar by the Department of Statistics and CSTS society proved to be a significant step toward equipping students with the skills to embrace the future of AI-driven data analysis.
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