Course Overview

Unsupervised Machine Learning for Advanced Business Analytics is aimed at the professional who wants an understanding of data science fundamentals with a strong focus on business applications. By the end of the course, participants will be capable of building, tuning and deploying regression and classification models for a variety of business problems. Participants will also gain an understanding of unsupervised learning techniques and big data architecture.

Taught using a variety of open source and cloud technologies, the course teaches techniques for handling, manipulating and analyzing high volume (millions of rows), high dimension (thousands of variables) business data. Real world projects from the DataSeer analytics consulting team are extensively used to illustrate how each models is used in the real world.

Suitable For

This course is suitable for any person who wants to acquire fundamental data science skills.

Prerequisites

It is recommended that participants have completed an introductory R programming course or MOOC and at least one introductory statistics unit at the university level.

Instructor

One of the top data scientists in the Philippines, Carl has employed an extensive arsenal of data science methods (e.g. statistics, graph analysis, spatial, and NLP) for different applications (such as impact evaluation, campaign tactical support, and intelligent policy design) in a diverse set of industries (inter alia banking, finance, telecommunications, education, medicine, disaster, and sports).

Carl is also an active R thought leader in the Philippines, evangelizing it not just in local communities but also thru pioneering work he has done in previous roles.

Required Laptop Specs

  • Intel i3 processor, 4GB RAM
  • Windows operating system
  • Unrestricted PC with install permissions

Required Software

  • Excel 2010, 2013 or 2016
  • R or RStudio latest version
  • A free trial or paid subscription to Microsoft Azure ML Studio