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Analytics for the Public Sector


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

Course Overview

The use of Analytics varies from sector to sector. For the private sector, Analytics is meant to maximize productivity and uncover new business opportunities. For the public sector, however, Analytics is meant to continuously develop and deliver high-quality products and services to the general public. This online course will allow you to build fundamental Analytics capability and proficiency that will provide you with the core set of skills needed for a data-driven government.

What You Will Learn

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

  • understand the core concepts of Analytics
  • examine the veracity of the data that will be used to make informed decisions
  • create meaningful and impactful stories from data
  • develop the components leading to a data-driven government

Course Instructor

Course Staff Image #1

Sherwin M. Pelayo

Subject Matter Expert



Course Content

Week 1: Analytics at its Core

9 Videos | 2 Activities

9 Videos

  • Welcome to the course!
  • The Story of Aling Lala and Her Sari-Sari Store
  • The Story of Mang Isko and His Yellow Corn Farm
  • The Data Value Chain
  • Common Analytics Terminologies
  • Analytics Defined
  • Job Roles
  • Competencies
  • Summary

2 Activities

  • Recall Activity
  • Exit Assessment

Week 2: Exploratory Data Analysis

7 Videos | 2 Activities

7 Videos

  • Data Profiling
  • Know Where Your Data Comes From
  • Classifying Data
  • Doing Descriptive Statistics
  • Sanity Checks
  • Asking More Questions
  • Summary

2 Activities

  • Recall Activity
  • Exit Assessment

Week 3: Data Visualization and Storytelling

4 Videos | 2 Activities

4 Videos

  • The Need to Visualize Data
  • The Right Visuals for Your Data
  • Principles of Storytelling
  • Summary

2 Activities

  • Recall Activity
  • Exit Assessment

Week 4: Towards a Data-Driven Organization

5 Videos | 2 Activities

5 Videos

  • The Seven Components
  • The Five Stages
  • The Analytics Roadmap
  • On Data Ethics
  • Key Takeaways

2 Activities

  • Recall Activity
  • Exit Assessment

  1. Course Number

    DICT-ICT002

  2. Classes Start

  3. Classes End

  4. Estimated Effort

    2 hrs./week (8 hours)

  5. Price

    Free