Transform raw data into actionable insights with this practical introduction to data analysis. This 8-week course teaches you essential skills for working with data in any field, from business and healthcare to marketing and research. Whether you want to become a data analyst, make data-driven decisions in your current role, or simply understand the numbers around you, this course provides hands-on experience with real datasets. You will learn the complete data analysis process from start to finish, how to load and explore datasets effectively, clean and prepare messy data for analysis, calculate and interpret descriptive statistics, create compelling charts and visualizations, identify correlations and patterns in data, build simple predictive models, and present insights that drive decisions. Through practical exercises with real-world data, you will develop analytical thinking and problem-solving skills. Basic computer skills required; no advanced math or programming experience needed. You will use user-friendly tools and learn at your own pace. By the end of this 8-week program, you will be able to confidently analyze datasets, visualize trends, and communicate findings effectively, making you a more valuable professional in any data-driven field and enabling you to make better informed decisions.
Computer Science lecturer focusing on software engineering, web technologies, and AI applications.
8 modules • 32 resources • 8 quizzes
What is data analysis and why it matters
Loading and exploring datasets
Handling missing and incorrect data
Summarizing data with numbers
Creating charts and graphs
Finding patterns in data
Introduction to predictive analytics
Communicating findings