Operations Research Society of the Philippines
Address: Suite 14 A Cyber One, 11 Eastwood Avenue
Eastwood City, Cyberpark, Bagumbayan
Telefax: 439-9496 E-mail: secretariat@orsp.org.ph
Technical Workshop: "Advanced Data Analysis Using R Programming"


June 19-20, 2015
Venue : Asia Pacific College, 3 Humabon Place, Magallanes, Makati City

Location Map

How will you benefit?
Learn how to effectively use R in running your own statistical analysis for accurate and impactful DATA DRIVEN DECISION MAKING.

Learn different modeling techniques using R and how it can address REAL WORLD BUSINESS CASES.

Who should attend?
Business analysts, statisticians, data scientists, operations research analysts, educators, marketing practitioners, managers, and other users who need to analyze data or run their own analysis.

What you will learn?
 Basic R functions like importing and exporting data
Using R functions for performing statistical analysis
 Modeling techniques using real world business applications as applied in various industries

What is R?
"R" is a programming language and software environment for statistical computing, data visualization, and predictive modeling.

It has become the single most important tool for computational statistics, and has become an essential tool for analytics driven companies such as Google, Facebook, and LinkedIn. Worldwide, people use R to solve challenging problems in various fields such as risk management and quantitative marketing.

Course Outline

Day 1: R for Statistical Analysis
Concepts and Case Presentations


The objective of the morning session would be to learn the basic concepts in computer programming via R.
Introduction to R expressions, variables, and functions
Data types and objects
Reading and writing data
File operations and file formats


The objective of the afternoon session is to be able to use R in performing various statistical analyses. A case study that will apply all the concepts discussed for the day will be given to the participants after the lecture.
Data Pre-processing
- Exploratory data analysis: Histograms, scatterplots
- Descriptive statistics

Case 1: Linear regression for sales forecasting

Day 2: Advanced Data Modeling
Lecture and hands-on workshop

The objectives of the second day's session would be to build statistical
models and use them to analyze data. Case method approach shall be used and emphasis will be on using R to fit models and interpretation of the R output, rather than the theoretical background behind the models

Case 2: Basic propensity modeling using logistic regression

Case 3: Customer Segmentation using K-means Clustering

Case 4: Customer Classification using Decision Trees

Case 5: Customer Attrition Modeling using Survival Analysis

Bonus Topic: Text analytics / sentiment analysis

Seminar Information

Seminar Timing : June 19 20, 2015
Registration: 7:30 am
Course proper: 8:00 am 5:00 pm.
15 minute morning and afternoon breaks at 10:00 am and 3:00 pm. Lunch 12:00 1:00 pm.

Venue : Asia Pacific College, 3 Humabon Place, Magallanes, Makati City                                                         
Fees in Pesos*
ORSP Member
Early Bird Rate
(before April 30)
Regular Registration
(May 1-June 12)      

*Fee includes seminar fee, handouts, use of computer lab, am/pm snacks and lunch for 2 days

For Inquiries:

Please call or email ORSP at +632 439 9496 or secretariat@orsp.org.ph c/o Jenny .

Payment Details:

Please deposit cash or check to:

Account Name: Operations Research Society of the Philippines (please do not abbreviate)
Account No: 00151-0028-666
Bank Name: Banco de Oro - Libis

Please email or fax your deposit slip with this registration form to ORSP Secretariat office c/o Jenny, telefax 02 439 9496; mobile 0927 877 52190927 877 5219; e-mail: secretariat@orsp.org.ph.

Posted on 06 Apr 2015 by admin
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