Digital Transformation: Data and Analytics explores the ways organizations can use data to advance their business objectives. This one-day course will ensure participants understand the value of the information they collect, while also ensuring they grasp the importance of keeping it safe.
It will detail all of the steps of data analytics, including collection, storage, analytics, and presentation.
Each participant will leave with the understanding of the value of a data-driven culture within an organization and the steps businesses need to take to create change.
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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