Course Name
Big Data Ingestion and Analytics Bootcamp (BLENDED)
Schedule
December 05, 2025 - December 13, 2025
Live session via Zoom:
December 5, 2025, Friday
9:00 am - 4:00 pm
In-person:
December 6 & 13, 2025, Saturdays
9:00 am - 4:00 pm
*Participants are required to bring their OWN laptop/gadget for the in-person classes.
Venue: Ateneo Salcedo Campus
130 HV Dela Costa Street, Salcedo Village, City of Makati, Philippines
Early Eagle Rate:
Php 22,500
Valid Until:
November 20, 2025
Description
Big Data Ingestion and Analytics Bootcamp is an introductory course designed for learners with no prior coding experience who want to develop foundational skills in big data ingestion and analytics. Participants will gain fluency in MySQL for query building and data extraction, along with Python programming for statistical and advanced analytics.
Through five modules, learners will cover SQL Basics, Data Wrangling, SQL Analysis, Statistical Analytics with Python, Natural Language Processing (NLP), and Computer Vision. This course emphasizes hands-on practice with widely-used tools and libraries such as Pandas, NumPy, Matplotlib, NLTK, and OpenCV for Python, and online SQL free platforms with SQL.
To accelerate learning, participants will also explore the usage of Generative AI tools (e.g., ChatGPT, GitHub Copilot) for code review, debugging, and optimization, reinforcing best practices in query writing and Python scripting. Learners will also be introduced to big data technologies for ingestion and processing, and how Python integrates into modern data pipelines.
Who should attend
- Professionals working with data from databases
- Analysts and report generators
- Operations managers seeking data-driven insights
- Sales and marketing professionals leveraging structured customer information
- Beginners interested in AI-assisted coding, big data ingestion, and analytics
By the end of this course, learners will be able to:
- Ingest and analyze structured data using SQL
- Apply Python to perform statistical analysis and feature engineering
- Use NLP and Computer Vision techniques on unstructured data
- Leverage Gen AI-assisted coding for faster debugging and performance improvement
- Understand the role of big data tools in scaling data ingestion and analytics
I. Introduction to Big Data
II. Data Wrangling and Engineering with MySQL and Python
III. Statistical Analysis with Python
IV. Natural Language Processing with Python
V. Introduction to Computer Vision with Python
Mr. Joseph Garcia is a Lead Data Scientist at Neural Mechanics Inc. He has more than 5 years of experience involving the end-to-end processes for big data analytics and data science, delving into topics such as delivery from proof of concept planning to actual development and metrics coordination.
Before this, he was Data Analytics Specialist for IBM Solutions Delivery, Philippines. He has also been involved as a graduate researcher for the University of the Philippines, specializing in machine learning theory, data mining, computer vision, sensor fabrication, deep learning, and natural language processing.
Mr. Garcia obtained his bachelors' degree in Computer Science from the University of the Santo Tomas, and his masters’ degree in Computer Science from the University of the Philippines, Diliman.
Ms. Maria Isabel Saludares is the Head of Data Science of Neural Mechanics Inc. Her expertise is on video and image processing and is currently affiliated with the Computer Vision and Machine Intelligence Group (CVMIG) from the same university. Her work experience spans several computer vision applications such as coral reef coverage and assessment, medical image analysis, detection and tracking, and 3D modeling and visualization. She has also done several text analytics using natural language processing focusing on social media listening.
She holds a Master of Science in Physics degree and is currently a PhD Student in Computer Science from the University of the Philippines - Diliman.
