Alternative Data for FinTech Innovation
About This Course
The growing importance of a data-driven approach in the financial sector has led to an increased demand for specialists in alternative data analysis and management. In this course, we will explore the intersection of fintech and alternative data, examining the ways in which companies are using data-driven approaches to innovate in the financial services sector.
This course on ‘Alternative Data for FinTech Innovation’ can help participants understand how to make sense of alternative data and use them to make scalable and informed decisions in financial services - such as credit, insurance or investments, while also exploring use cases outside the domain of financial services.
The lessons and workshops will provide context and an end-to-end view of alternative data initiatives, then focus on how to identify, evaluate, and analyse alternative data sets, as well as providing hands-on experience that combine techniques in predictive analytics, machine learning and big data. It will help participants understand how to access and interpret non-traditional data sources, such as social media, geolocation, telecoms, utilities, web traffic patterns etc. It also aims to fill the skills gap in the financial sector by training people in the latest tools and techniques for analysing and interpreting alternative data.
Participants who complete this course will be well-equipped to provide valuable insights to companies looking to gain this competitive edge in the financial space.
What You'll Learn
Understand the overall fintech landscape and where data can play a role
Analyse and appraise the types of alternative data, use cases, and the differentiated impact it has for financial institutions, fintech companies, and other industries outside finance
Appraise different machine learning algorithms in the context of financial technology
Evaluate the key considerations, requirements, and success factors in managing a finance/fintech alternative data initiative
Assess the appropriate alternative data for financial decision-making, risk assessment, and product recommendations, and evaluate the challenges and risks of financial technology deployment
Know how to complement traditional data with alternative data, while assessing the requirements of alternative standards as compared to traditional standards
Entry Requirements
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