COURSE DESCRIPTION
Concepts of data presentation and data visualization, human perception to graphics and color; appropriate graphic designs for data presentation; business intelligence techniques to transform health data into meaningful presentation, information dashboard to assist decision making
LEARNING OUTCOME
- Describe key concepts in data visualization, including graphical perception, color and visual interaction
- Identify important tools used for development of business intelligence platform
- Prepare data for business intelligence platform
- Develop a business intelligence platform (dashboard) for decision making
Course Features
- Lectures 48
- Quiz 1
- Duration 30 hours
- Skill level All levels
- Language English
- Students 72
- Certificate No
- Assessments Yes
Curriculum
- 4 Sections
- 48 Lessons
- 10 Weeks
Expand all sectionsCollapse all sections
- Week 1: Data Visualization Concepts14
- 1.1Course Overview
- 1.2Course Syllabus
- 1.3Weekly Activities Week 1
- 1.4Human Perception and Cognition
- 1.5The Eye
- 1.6Graphic Perception: Overview
- 1.7Graphic Perception: Estimate proportion
- 1.8Graphic Perception: Comparison
- 1.9Graphic Perception: Trend
- 1.10Quiz week 1 : Data Visualization Concepts30 Minutes10 Questions
- 1.11Topic Discussion Week 1: Data Visualization Concept
- 1.12Weekly Assignment : Data Visualization Concepts
- 1.13Introduction to Project Assignment
- 1.14Course Evaluation Week 1
- Week 2: Introduction Data Visualization10
- Week 3: Data Visualization using Looker Studio10
- Week 4: Data Visualization using Looker Studio II17
- 4.1Weekly Activities Week4
- 4.2Area Chart
- 4.3Combo vs line Chart
- 4.4Pie vs Donut Chart
- 4.5Google Map
- 4.6Update Source Schedule Trigger
- 4.7Geo Chart
- 4.8Geo Chart vs Google Map
- 4.9Scatter Plot
- 4.10Gauge vs Bullet
- 4.11Sankey
- 4.12Treemap
- 4.13Controls
- 4.14Final Dashboard Publish
- 4.15Weekly Assignment Week 4
- 4.16Final Project
- 4.17Course Evaluation Week 4
