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Big Data Fundamentals


Department of Information and Communications Technology
Enrollment in this course is by invitation only

Course Overview

In the modern world, data has been proven to be powerful and effective in leading a lot of big companies to success. They are realizing that in order to be successful, they need to leverage their data in order to make efficient and effective business decisions. In this course, you will learn the characteristics and the concepts of big data analytics, the step process of data analytics, and the new tools and applications used in working with big data. You will also determine the traditional and the Hadoop framework. By the end of this course, you will have a deeper understanding of big data and methodologies used in modern days. You will recognize how big data is driving changes in organizations and how they implement new technologies when analyzing huge volumes of datasets.


What You Will Learn

At the end of this course, you will be able to:

  • determine what big data is by exploring its evolution, background, and characteristics
  • appreciate the potential and scalability of big data and its use in a real-world scenario
  • identify the concepts and the step process of data analytics and analyzing big data
  • recognize the ecosystem of Hadoop framework and the fundamentals of traditional and big data framework
  • demonstrate knowledge on how Hadoop framework used in big data

Course Instructor

Course Staff Image #1

Dindo Asencio

Subject Matter Expert


Course Content

Week 1: Big Data: The Introduction

9 Videos | 2 Activities

9 Videos

  • Welcome to the course!
  • Definition
  • Examples
  • Data Types
  • Characteristics of Big Data (5 Vs)
  • Evolution of Data
  • Companies with Big Data
  • Case Studies Using Big Data
  • Summary

2 Activities

  • Recall Activities
  • Exit Assessment

Week 2: Usage of Big Data

8 Videos | 2 Activities

8 Videos

  • Global Data and Big Data Domains
  • Data Analytics Tools
  • Step 1: Define your Questions
  • Step 2: Data Collection
  • Step 3: Data Cleansing
  • Step 4: Data Analysis
  • Step 5: Data Visualization
  • Summary

2 Activities

  • Recall Activities
  • Exit Assessment

Week 3: Big Data and its Framework

3 Videos | 2 Activities

3 Videos

  • Traditional Framework
  • Introduction of Hadoop Framework
  • Summary

2 Activities

  • Recall Activities
  • Exit Assessment

Week 4: Deep Dive with Hadoop

6 Videos | 2 Activities

6 Videos

  • How does Hadoop work?
  • HDFS
  • MapReduce
  • YARN
  • Hadoop Integrated Solutions
  • Key Takeaways

2 Activities

  • Recall Activities
  • Exit Assessment
  1. Course Number

    DICT-ICT004
  2. Classes Start

    TBA
  3. Estimated Effort

    2 hrs./week (8 hours)
  4. Price

    Free