Course outline for
Digital Transformation: Data and Analytics

Session One: Course Overview

Course Overview

Learning Objectives

Pre-Assignment

Pre-Course Assessment

Session Two: Introduction to Data and its Significance

Understanding and Analyzing Data

Becoming Data-Driven

Case Study

Session Three: Data Collection

Collection Methods and Challenges

Types of Data

Session Four: Data Ethics and Storage

Ethical Data Practices

Session Five: Data Analytics for Business

Types and Techniques

Data Analytics Value

Session Six: The Introduction of AI

The Power of Data: Fueling a New Wave of AI

Navigating the Future of Gen AI in Business

Session Seven: Visualizing Data

The Power of Simplicity

Choosing The Right Method

Common Mistakes

Session Eight: Data Privacy and Security

Understanding Data Privacy

Data Security Threats

Case Study: AcmeTech's Data Security Nightmare

Session Nine: Data Protection

Data Protection Strategies

Establishing Data Privacy Policies

Session Ten: Building a Data-Driven Culture

From Data Disconnect to Data First

Pre-Assignment Review

Comparative Case Study

The Right Skills

Personal Action Plan

Course Summary

Post-Course Assessment

Pre- and Post-Course Assessment Answer Keys

Pre-Course Assessment

Post-Course Assessment

Assignment Answer Key

Session Two: Introduction to Data and its Significance

Session Three: Data Collection

Session Four: Data Ethics and Storage

Session Five: Data Analytics for Business

Session Six: The Introduction of AI

Session Seven: Visualizing Data

Session Eight: Data Privacy and Security

Session Nine: Data Protection

Session Ten: Building a Data-Driven Culture