Welcome Back to Week 2!

Welcome back! In Week 1, you began your journey into data-driven decision-making and the fundamentals of Excel for business insights. Now, as we move into Week 2, we will explore the why, what, and how of data collection and analysis in more depth.

This is a self-directed learning experience, meaning you have the flexibility to work through the content at your own pace. There will be no in-person activities, but you will have access to interactive resources, guided exercises, and reflection prompts to deepen your understanding.

Learning Objectives – Week 2

By the end of this module, you will be able to:

✔ Understand the primary drivers of data collection by businesses and organisations.
✔ Identify the various ways to classify data into different types.
✔ Recognise the different sources of data used in decision-making.
✔ Explain how data analysis can benefit organisations and businesses.

Key Topics – Week 2

This week, you will explore:

➕ Primary Drivers of Data Collection
– The fundamental reasons why businesses and organisations collect data.

➕ Deep Dive into Data Classification
– How data is categorised by type, format, and structure.

➕ Critical Evaluation of Data Analysis Benefits
– How data analysis helps organisations make better decisions and improve efficiency.

How to Make the Most of This Week

Since this is a self-directed course, take some time to:

☑️ Engage actively with the materials—experiment with data, explore real-world examples, and complete exercises.
☑️ Reflect on what you learn—use the guided prompts to connect the content to your own work or experiences.
☑️ Set your own learning goals—pace yourself, revisit key topics as needed, and apply your knowledge practically.

Ready to dive in? Let’s get started!