Generating and Understanding Insights from Machine Learning Analytics using R (CET253)

Today, the word's data is growing at an astonishing rate. It is said that the world's most valuable resource is no longer "oil", but "data". More and more, we see forward-looking corporates harvesting and analysing large complex datasets to improve competitiveness.

Every now and then, we come across narratives of how disruptive technology can be, and have heard mantras that we need to continually acquire new skillsets such as analytics and data science to stay relevant in this increasingly digitalised world. Yet, how much do we really know about these subjects?

This course endeavours to equip learners with the essentials of R programming, a powerful statistical and machine learning tool at the heart of data science and data analytics.

Through this course, learners will acquire the skillsets to:

• manipulate, clean and enrich raw data into more usable formats;
• discover hidden patterns in the enriched datasets;
• connect the dots, interpret and derive actionable insights to facilitate decision making.

Topics:

• Essentials of R Programming, Data Wrangling, and Data Visualization
• Multiple Linear Regression modelling and deriving insights for decision making
• Logistic Regression modelling and deriving insights for decision making
• Decision Trees (Classification Trees) modelling and deriving insights for decision making
• Cluster Analysis modelling and deriving insights for decision making