Course Name

Big Data Ingestion and Analytics Bootcamp

Schedule

July 12, 2022 - July 30, 2022

Schedule via Zoom:

July 12, 14, 19, 21, 26, 2022

Tuesdays & Thursdays

3:00 pm - 6:00 pm

July 16 & 23, 2022

Saturdays

8:30 am - 3:30 pm

July 30, 2022

Saturday

8:30 am - 11:30 am

Regular Rate:

Php 30,000

Early Eagle Rate:

Php 27,500

Valid Until:

June 28, 2022

Big Data Ingestion and Analytics Bootcamp

Description

This course is intended for learners with no previous coding experience to develop MySQL query fluency and familiarity with Python programming. Through 5 modules, you will cover topics such as SQL Basics, data wrangling, SQL Analysis, Statistical Analytics with Python, Natural Language Processing and Computer Vision.

These modules will prepare you to apply MySQL and Python creatively to analyze and explore data, write queries, create date sets, engineer features, analyze data and use Python across unstructured data.

Who should attend
  • Anybody working with data from Databases
  • Analysts and Report generators
  • Operations Managers
  • Sales and Marketing professionals using structured customer information

After the course, you will be able to: 

  1. Identify value of the new way of Data Analytics vs. Traditional Statistical Approaches;

  2. Provide a working knowledge on current Data Manipulation Tools and Techniques using SQL and Python;

  3. Demystify and provide the context and need for Data Science and Data Scientists;

  4. Provide an introductory working knowledge on Natural Language Processing and its basic usage via Python; and

  5. Provide an introductory working knowledge on Computer Vision and its basic usage via Python

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.

Mr. Charles Benedict Chan is currently the Head of Marketing of InterVenn Biosciences, a cutting-edge leader for cancer diagnostic research using  glycoprotein analysis, biomarker research, liquid-biopsy assay development, and new drug target discovery.

He was formerly the General Manager of Neural Mechanics Inc. handling the company’s diverse set of Artificial Intelligence and Machine Learning based products. He started his professional career in Globe Telecom as a Business Management Associate and eventually moved on to become a Senior Product Manager handling Value Added Services and Convergent Services for Globe Broadband. He then transferred to Singapore to work for Procter and Gamble as a Regional Assistant Brand Manager handling multi-million dollar brands such as Pantene shampoos and Joy Dishwashing. He has also experience working for smaller, struggling brands including Braun beauty and grooming, and Fairy Dishwasher Tablets.

Mr. Chan earned his Bachelor’s degree in Marketing from the University of the Philippines – Iloilo Campus.

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.

 

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