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PRODID:-//SZABIST University Islamabad - ECPv5.12.2//NONSGML v1.0//EN
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X-WR-CALNAME:SZABIST University Islamabad
X-ORIGINAL-URL:https://szabist-isb.edu.pk
X-WR-CALDESC:Events for SZABIST University Islamabad
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BEGIN:VTIMEZONE
TZID:Asia/Karachi
BEGIN:STANDARD
TZOFFSETFROM:+0500
TZOFFSETTO:+0500
TZNAME:PKT
DTSTART:20240101T000000
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20241019
DTEND;VALUE=DATE:20241020
DTSTAMP:20260415T153548
CREATED:20241019T072515Z
LAST-MODIFIED:20241128T104327Z
UID:26942-1729296000-1729382399@szabist-isb.edu.pk
SUMMARY:North American Conference on Islamic Finance
DESCRIPTION:North American Conference on Islamic Finance\n\n\n\n\nDr. Sanaullah Ansari represented SZABIST University in the “North American Conference on Islamic Finance” which was held at the University of Houston\, Texas\, USA on 18-19 October 2024. This was a mega event in the field of Islamic Finance and academicians\, researchers\, professionals\, and practitioners from the USA and many other countries participated in it. The main focus of this event was to explore the growth and opportunities of Islamic Finance in North America well addressed by all speakers.
URL:https://szabist-isb.edu.pk/events-calendar/north-american-conference-on-islamic-finance/
CATEGORIES:Conferences,Fall2024,SZABIST Events
ATTACH;FMTTYPE=image/jpeg:https://szabist-isb.edu.pk/wp-content/uploads/2024/11/4-e1732790600361.jpeg
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20241019
DTEND;VALUE=DATE:20241020
DTSTAMP:20260415T153548
CREATED:20241019T093413Z
LAST-MODIFIED:20241128T103511Z
UID:26953-1729296000-1729382399@szabist-isb.edu.pk
SUMMARY:Data Extraction using the London Stock Exchange Group (LSEG) Workspace - Training
DESCRIPTION:Data Extraction using the London Stock Exchange Group (LSEG) Workspace – Training\nDate: October 19\, 2024\nVenue: Library\nOrganized by: Dr. Raazia Gul\, Assistant Professor\, SIG Head (Finance)\, SZABIST University Islamabad \nObjective and Learning Outcomes\nThe 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. \nTrainer’s Profile\nThe 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. \nHighlights of the Session\nThe 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.\nAudience Response\nThe 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. \n 
URL:https://szabist-isb.edu.pk/events-calendar/data-extraction-using-the-london-stock-exchange-group-lseg-workspace-training/
CATEGORIES:Fall2024,SZABIST Events,Virtual Events
ATTACH;FMTTYPE=image/jpeg:https://szabist-isb.edu.pk/wp-content/uploads/2024/11/WhatsApp-Image-2024-10-31-at-21.42.29-e1732790104672.jpeg
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