Course Overview

Learn the techniques that will move your organization to advanced analytics maturity. In 2018, there is a myriad of data sources streaming into the modern organization. Text, spatial and unstructured data sources present challenges to the modern company seeking to understand customer and organizational needs with greater speed and accuracy. The discovery and extraction of useful patterns in business data is enabled via techniques such as natural language processing, geospatial analysis and segmentation methods. In this course, you will learn the methods that data scientists use to discover trends and relationships that add value, advantage and impact to business decision making.

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 managers who want a better understanding of the machine learning and statistical models that can be used to aid business decision making. The course is also aimed at data scientists in training who seek to sharpen their data science skillset..

Prerequisites

It is recommended that participants have passed a first year statistics subject 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, 2GB RAM
  • Either Mac or Windows operating system

Required Software

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