Two-Day Data Science Workshop
FAST School of Computing, NUCES Lahore
| Date: 24–25 January 2026 | Duration: 2 Days |
Schedule:
- Saturday - 24 January 2026 - 9:30 AM to 4:30 PM
- Sunday - 25 January 2026 - 9:30 AM to 3:30 PM
Deadline: Friday – 9 January 2026
Workshop Overview:
If you have an interest in teaching data science courses, are a data science educator in industry, or are a faculty or professional in another field, then this workshop is designed for you. This hands-on workshop is designed to provide professionals with practical, hands-on exposure to modern data science workflows, analytical techniques, machine learning and big data analysis. Participants will gain valuable insights into how data can drive effective decision-making across industries.
Key Topics:
- End-to-End Data Science Workflow: From Data Acquisition to Deployment
- Advanced Exploratory Data Analysis: Techniques for Insight Discovery
- Machine Learning Foundations: Algorithms, Models, and Evaluation
- Big Data Ecosystems: Tools, Architectures, and Scalable Analytics
Participation Fee*:
- One Day Only: PKR 13,000
- Both Days (Full Workshop): PKR 20,000 (Discounted Price)
Registration:
To register: click here.
*Limited seats are available.
Facilitators:
|
Lecturer & Doctoral Scholar Muhammad Saif ul Islam is a distinguished PhD Scholar and Lecturer in the Department of Artificial Intelligence and Data Science at FAST NUCES. He has expertise in the Data Science and its associated pipeline. His research interests lie at the cutting edge of applied Deep Learning, with a focus on innovative applications in Medical Imaging, Applied Geophysics, Remote Sensing, and advanced Generative Modeling. His expertise ensures participants receive training rooted in both foundational theory and industrial best practices. |
Professor & GSC Lahore Coordinator Dr. Zareen Alamgir is a Professor in the Department of Computer Science and Director of the Big Data Lab at the National University of Computer and Emerging Sciences (NUCES), Lahore. Her research spans data science, big data analytics, and distributed computing, with a focus on scalable, real-world solutions. She has published extensively in these areas and has over a decade of experience teaching Big Data Analytics and Mining Massive Datasets. Dr. Alamgir has hands-on expertise with multiple big data platforms and is deeply committed to advancing emerging technologies through research and education. |
Professor & Head of Artificial Intelligence and Data Science, School of Computing Dr. Aamir Wali is the Director of the DataGen Lab. He has extensive expertise in the design, optimization, and redesign of machine learning and deep learning models, with a strong emphasis on developing robust, application-driven solutions. His research interests span machine learning, image processing, human–computer interaction, natural language processing, virtual and augmented reality, and font development. |
