Participants will be equipped with practical skills to implement predictive modeling for the fintech industry using various data analysis methods such as linear regression model, logistic regression models and decision trees. Participants will acquire the skills to implement unsupervised learning algorithms such as k-means clustering and other analytical methods such as correlation analysis and association rules to derive insights from the financial data. The Certified Data Analytics (R) Specialist (CDAS) course equips participants with an overview of concepts, techniques, and algorithms of data analysis using the R programming language, which is one of the world’s most popular and commonly used programming languages. Participants will acquire the skills to apply an end-to-end data analysis workflow using the R programming language with various open-source data analysis tools such as R and Rattle. Besides that, participants will acquire the skills to query NoSQL database with MongoDB and gain insight on how it would benefit the fintech analytics and review a real-life financial case study.