Applied Data Science Using Python
*** ONLY 6 SLOTS LEFT, REGISTER NOW! ****
Date: June 22-23, 2018
Venue: Mapua University Makati, 333 Sen. Gil Puyat Ave, Makati City (click here to view map)
How will you benefit?
Learn how to deploy Python for Data Science in your organization.
Learn different popular python toolkits and how they can be used to solve REAL-WORLD BUSINESS CASES.
Who should attend?
Business analysts, statisticians, data scientists, operations research analysts, educators, analytics practitioners, managers, and other users who want to leverage the power of Python for Data Science.
What will you learn?
Learn about the different applications Python in Data Science.
Learn how to use Python Libraries for Data visualization and Machine Learning.
Why study Python?
Preferred Programming Language of Data Scientists
It is now the most popular programming language for Data Science (overtaking R)
Easy to Learn
Now the language of choice for 8 of 10 top computer science programs in US
Full featured
Has full capabilities for data manipulation, data cleaning, data visualization and of course, Machine Learning.
Course Outline
Day 1
Morning
Introduction to Python
• Python Programming Basics
• Common Python Functionalities for Data Science
Afternoon
Data Processing and Data Visualization in Python
• Data Cleaning and Processing using “Pandas” Library
• Basic Charting in Python
Day 2
Machine Learning in Python Using “SciKit Learn” Library
• Supervised Machine Learning
– Linear Regression
– Logistic Regression
– Support Vector Machines
– K-Nearest Neighbour
– Decision Trees
• Model Evaluation
Seminar Information
Seminar Timing: June 22-23, 2018
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 : Mapua University Makati, 333 Sen. Gil Puyat Ave, Makati City
Fees
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ORSP Member
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Non ORSP Members
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| Early Bird Rate (before May 15) |
P 5,500
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P 6,000
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| Regular (May 1 – 31) |
P 6,000
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P 6,500
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*Fee includes seminar fee, handouts, use of computer lab, am/pm snacks and lunch
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Payment Details:
Please deposit cash or check to:
Account Name: Operations Research Society of the Philippines, Inc.(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 5219; e-mail: secretariat@orsp.org.ph.
For Inquiries:
Please call or email ORSP at +632 439 9496 or secretariat@orsp.org.ph c/o Jenny .




ORSP technical forum for 2017 featured three speakers who spoke on the Big Data that comes from Social Media and how this has been used to market products and assess consumer reactions to products and services. The first speaker, Matec Villanueva, talked about the consumer and the choices that face him or her, the ensuing conversation, collaboration and creation that happens and finally, the data that is generated from all these activities. A marketing professional who is a CNN Consultant and former CEO of Publicis Manila, she kept emphasizing that data must not stay as numbers but must turn into insights.
This was the same point made by the second speaker, Cherry Ann Almero, who is currently data scientist at Sun Life Asia Data Analytics Centre of Excellence. She discussed at length the various levels of maturity of analytics, starting from Descriptive (what) Diagnostic (answers why), Predictive (goes into forecasting) and Prescriptive (the area of Operations Research). She stated how the internet has transformed taxis into Uber, bookstores into Amazon, travel agents to Expedia, Hotels into Air B&B’s, TV programs into Netflix and Records into Spotify. With the availability of data coming from these internet applications, social media has enabled conversion of opinions into data.
ORSP Directors Malu U, Vic Reventar and Elise del Rosario moderated the proceedings. Almost two hundred participants from various sectors as well as students and professors from TIP-Q.C., Colegio de San Juan de Letran, Mapua Institute of Technology, UP Los Baños, University of Makati, Ateneo de Manila, Cavite State University and University of the Cordilleras found the technical forum very informative and gave it a very positive feedback.

