Data-Driven Decision Making and Innovation
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Data-Driven Decision Making is an intermediate course that explains how information can guide smarter choices in different areas of life. Whether it’s a business deciding what product to launch, a school improving student results, or a family choosing the best travel option, data helps people make better decisions instead of relying only on guesswork.
In this course, you will learn how data is gathered, cleaned, and arranged so it can be trusted. You’ll also see how patterns in data are studied to understand what has happened in the past and to make predictions for the future. With real-life examples from business, education, and healthcare, you’ll discover how data makes processes more reliable, faster, and easier to understand.
The lessons are explained step by step, in simple terms, so that anyone can follow along. By the end of the course, you’ll not only understand the role of data but also know how to use it for making clear and confident decisions.
What You Will Learn
By completing this course, learners will be able to:
- Explain what data-driven decision-making means in everyday language.
- Understand how data is collected, cleaned, and organized for use.
- Identify simple patterns in data and see how they guide choices.
- Apply data use in practical situations such as business, education, and healthcare.
- Recognize the advantages of using data, like saving time and improving accuracy.
- Be aware of the challenges, such as incomplete or misleading information.
- Use data as a helpful tool for solving problems and making better decisions.
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What you need/Requirement

Internet
You need a working internet connection to watch videos, join online classes, and get help when needed.

Laptop/PC
A personal computer is essential for hands-on practice and project work.

Browser
A web browser like Chrome or Firefox is needed to open learning websites and access course content online.

English
Basic understanding of English is required, as the course content and instructions are primarily in English
Learning Path




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