Data Science Fundamentals Course

Course Ratings

"This course was the perfect starting point. I finally understand what data science means and how it connects to the decisions we make every day in business. It gave me clarity and the confidence to work more closely with our data team."

Data Science Fundamentals Course

1 Day in Duration

About this Course

Data Science Fundamentals is a one-day introductory course designed to give non-technical professionals a clear, practical understanding of data science concepts. Learn how data science works, what tools are used, and how it can solve real business problems; without needing to code. Perfect for those who want to confidently engage in data-driven discussions and initiatives.

Course Content

Module 1: What is Data Science? An Overview
Understand what data science actually is—how it combines statistics, computing, and domain knowledge to solve problems. Explore where data science sits in the wider world of AI, machine learning, and analytics.

Module 2: The Data Science Process
Walk through the key stages of a data science project: problem definition, data collection, data cleaning, analysis, modelling, and communication. This module helps you understand how data science adds value at every stage.

Module 3: Real-World Applications of Data Science
See how data science is used across industries—predicting customer behaviour, improving logistics, preventing fraud, and more. This module features case studies that make the concepts relatable and business-focused.

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Data Science Fundamentals Course
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Who is This Course For?

This course is ideal for managers, team leaders, analysts, and professionals who want to understand data science without getting lost in technical detail. It's perfect for those who work alongside data teams or want to get involved in data projects. Whether you're leading digital change, managing strategy, or simply want to enhance your data literacy, this course builds a solid foundation. No coding or prior knowledge is required—just a curious mind and an interest in making better decisions through data.



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