Certified Data Analytics (R) Specialist (CDAS) Course

Big data generates a lot of opportunities for business leaders to make better decisions. However, interpreting data from various data is not a piece of common knowledge for most of the business professional. How can we leverage on the data for making the optimal marketing decision? How to increase operational efficiency? How to maximize business revenue?

Participants will acquire knowledge on a practical framework including data analytic life cycle from how to select, use and turn the data into a useful analysis. Besides that, participants will be equipped with practical skills to implement predictive modelling using various data analysis methods such as linear regression model, logistic regression models and decision trees. Participants will also acquire the skills related to the implementation of unsupervised learning algorithms such as k-means clustering and other analytical methods such as correlation analysis and association rules to derive insights from their data.