Data Extraction using the London Stock Exchange Group (LSEG) Workspace – Training

October 19
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Data Extraction using the London Stock Exchange Group (LSEG) Workspace – Training
Date: October 19, 2024
Venue: Library
Organized by: Dr. Raazia Gul, Assistant Professor, SIG Head (Finance), SZABIST University Islamabad

Objective and Learning Outcomes
The purpose of this training session, organized for MSBA (1A) students enrolled in “Research Methodology” course, was to equip students with the knowledge and skills required to effectively download and manage research data. The session aimed to provide students with hands-on experience using the London Stock Exchange Group Workspace, an essential tool for acquiring and handling reliable data in business analytics research. By participating, students gained practical insights into data extraction techniques, preparing them for data-driven research projects and enabling them to utilize data effectively for thesis work and other research activities.

Trainer’s Profile
The session was facilitated by Dr. Sumaira Chamadia, PhD, Assistant Professor and Cluster Head of Accounting and Finance at SZABIST University, Karachi. Dr. Chamadia brings a wealth of experience in financial data analysis, portfolio management, and academic research. Her expertise allowed students to learn valuable skills for navigating complex financial databases.

Highlights of the Session
The training provided students with a thorough understanding of the London Stock Exchange Group Workspace. Also, emphasizing its practical applications in business analytics. Students were guided through the process of data extraction and management, allowing them to directly apply these skills to their coursework and research projects.
Audience Response
The session well-received, with students engaging actively throughout. The hands-on approach encouraged practical learning, fostering a deeper understanding of data extraction processes. Students appreciated the opportunity to work directly with a powerful financial data platform, recognizing its relevance to their studies and future research initiatives.

 

Details

Date:
October 19
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