UP Diliman Mathematics Foundation, Inc.

Dates: April 14-15 and June 25-27, 2025

Time: 8:00 AM to 5:00 PM

Venue: MB 118 Math Bldg, University of the Philippines Diliman

Contact for inquiries: updmfiworkshop@math.upd.edu.ph

Overview

This is a two-part, 5-day workshop on programming, data visualization, data engineering, and data analysis.

Part 1: April 14-15, 2025 (14 hrs)

• Programming and Data Visualization

• Introduction to Data Engineering and Data Visualization

Part 2: June 25-27, 2025 (21 hrs)

• Introduction to Data Analysis

• Advanced Techniques for Data Analysis

Lecturers

• Ms. Jozelle Addawe, Department of Computer Science, UP Diliman

• Dr. Jhoirene Clemente, Department of Computer Science, UP Diliman

• Dr. Richelle Ann Juayong, Department of Computer Science, UP Diliman

• Dr. Rhudaina Mohammad, Institute of Mathematics, UP Diliman

Registration and workshop fee

The workshop is designed for participants who hold a Bachelor’s degree, possess basic programming skills, and have a fundamental understanding of statistics. Participants are required to bring their own laptops. Those who wish to participate should register through the following online form: 

 https://bit.ly/UPDMFIDSworkshop

The workshop fee covers the workshop kit, lunch and afternoon snacks.  Proof of payment of the workshop fee should be uploaded in the registration form.  Confirmation of registration will be sent once the payment is verified by the organizing committee.  Kindly refer to the table below for the rates and deadlines:

Payment of the workshop fee can be made by bank deposit or transfer to the following account:

Philippine National Bank (PNB)

U.P. Campus Quezon City branch

Account name: UP Diliman Mathematics Foundation Inc

Account number: 108670007261 (Peso checking account)

Topics (detailed schedule to follow)

Day 1 (April 14, 2025): Python Programming for Data Science

1. Python Basics and Data Structures

2. Python Programming Fundamentals

3. Getting Started with Pandas

4. Data Wrangling in Python with Pandas

Day 2 (April 15, 2025): Introduction to Data Engineering and Data Visualization

1. Introduction to Data Engineering

1. Why is Data Engineering important?

2. Data Warehouse

3. Extract Transform and Load

4. Data Preprocessing and Aggregations

5. AM Activity: Simple Data Integration and Preparation

2. Introduction to Data Visualization

1. Why Data Visualization is Important

2. Creating Visual Representation

3. Perception

4. Visualization Techniques

5. Best Practices and Common Mistakes in Data Visualization

Day 3 (June 25, 2025): Introduction to Data Analysis

1. Goals of Data Analysis

2. Data Preprocessing 

3. Exploratory Data Analysis in Python

4. Basic Data Modeling Techniques in Python

Day 4 (June 26, 2025): Advanced Techniques for Data Analysis

1. What is Machine Learning?

2. Unsupervised Learning 

1. Time Series Analysis and Forecasting Methods

2. Clustering

3. Supervised Learning Methods

1. Regression Analysis

2. Classification Methods

Day 5 (June 27, 2025): Capstone Completion and Presentation

Given a provided list of available data sets, participants will:

1. Choose a data set of interest for analysis

2. Perform the Exploratory Data Analysis on the data set of interest while answering guide questions.

3. Identify a goal for analysis regarding the data set and perform advanced data analysis techniques to achieve the goal

4. Report findings through a simple python notebook.