Course Overview

Introduction to Data Science and Machine Learning is aimed at the professional who wants to learn how to think like a data scientist with a strong focus on business applications. By the end of the course, participants will gain an understanding of what data science is and how it can be used to create value for an organisation. In addition, they will also be exposed to various machine learning problems and how they can be relevant to a business.

Taught using a variety of open source and cloud technologies, the course provides a sneak peek at an end-to-end data science workflow as well as the process and technologies involved.

Suitable For

This course is suitable for managers who want a better understanding of how data science can be used to aid business decision making. The course is also aimed at any person who wants a high- to mid-level appreciation view of data science and its applications.

Prerequisites

It is recommended that participants have knowledge on elementary statistics.

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

  • Windows 7/8/10 or MacOS El Capitan/Sierra or Ubuntu 14.04/16.04
  • At least 2GB RAM
  • Min 2 GB free disk space

Required Software