Fundamentals of Data Analytics and Data Management (for Financial Sector) (Synchronous E-Learning)
Training Provider: SINGAPORE MANAGEMENT UNIVERSITY
Course Reference: TGS-2025058348
S$1,200
Original: S$2,400
Save S$1,200
About This Course
Financial services organisations are harnessing the power of data analytics, strategically turning data into new business insights, predicting trends, risks and threats, and improving policy making and enforceable actions. To transform data into actionable insights, organisations need to embrace data analytics and integrate it into their core business processes and to equip their people with the right skillsets and resources.
What You'll Learn
At the end of the 3-day course, participants will be able to:
• Gain an understanding of data analytics and its values to businesses and organisations;
• Understand the need for analytics and the type of analytical approaches - descriptive, diagnostic, predictive and prescriptive;
• Understand the emerging analytics landscape and the importance of demystifying big data;
• Learn the capabilities of analytics in the analytics value chain for various industries, the various analytical techniques and their applications;
• Learn the requirements of enterprise-wide business analytics implementation;
• Understand through the use of case studies the importance of analytics framework in driving proper adoption of analytics.
• Gain an understanding of data analytics and its values to businesses and organisations;
• Understand the need for analytics and the type of analytical approaches - descriptive, diagnostic, predictive and prescriptive;
• Understand the emerging analytics landscape and the importance of demystifying big data;
• Learn the capabilities of analytics in the analytics value chain for various industries, the various analytical techniques and their applications;
• Learn the requirements of enterprise-wide business analytics implementation;
• Understand through the use of case studies the importance of analytics framework in driving proper adoption of analytics.
Entry Requirements
Participants should preferably have tertiary qualifications and/ or at least 3 years of working experience.
Course Details
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