Big Data


Brian Yan


Hector Chen
courses details img

Big Data Workshops

Timing: Tuesday night 6:30 - 8:30 PM, Weekly for 8+ weeks

Date: Starting from July 6th 2021

Workshop Location: Zoom online project

Big data analytics is the application of advanced analytic techniques to massive, diverse big data sets that include structured, semi-structured, and unstructured data, as well as data from various sources and sizes ranging from terabytes to zettabytes.

With a passion for big data analytics, our project leaders designed and developed this big data challenge project that brings together young people with similar interests to learn and explore.

This hands-on introduction to data analytics project will provide you with practical foundation-level training that will enable you to participate in big data and other analytics projects immediately and effectively. Basic analytic approaches, big data analytic technology and tools, such as R, Machine Learning, and Deep Learning, will be covered.

This one-of-a-kind project, which includes stages one (basic knowledge) and two (practice), aims to compete in the Stem Fellowship's big data challenge in 2022.

Stage One
  1. Business Understanding
  2. Analytic Approach
  3. Data Requirements
  4. Data Collection
  5. Data Understanding
  6. Data Preparation
  7. Modeling
  8. Model Evaluation
  9. Deployment
  10. Feedback
Stage Two
  1. Review the report and presentation of the 2021 big data challenge topics
  2. Data accuracy analysis and which DL models used
  3. What machine learning models used
  4. Which data fields(factors)are required in ML models
  5. What datasets are needed to support this report?
  6. Analyze the gaps b/w your own thoughts and the report
  7. Build your own model, result, report
  8. Presentation your own report

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