
Online learning
Introduction to Big Data
Explore the implications of Big Data in business, science and society with this introductory online course
Big data is an emerging technique for analysing human behaviour and natural phenomena. It is becoming widely used in various fields, ranging from business to cosmology. Our introductory online course explains what big data is, how it might affect you, and how you can use it.
Traditional data processing methods are inadequate for handling or managing big data datasets. Grasping vast volumes of data can enhance your understanding of social challenges and facilitate improved decision-making.
Through a blend of theory and practical applications, you will dive into the world of data mining, machine learning, and statistical analysis.
Who is this course for?
This course will introduce you to the theory and practice of big data. No previous knowledge of computing or statistics is required. You should be comfortable with numbers before starting this course.
What will you learn?
- Understand and explain the concepts behind big data
- Describe the applications of big data in business, society, and science
- Understand the implications of big data for individuals and society
- Apply big data techniques to a problem
Course structure
Our courses are not technical and can be done at your own pace. They are guaranteed to have an impact on the way that your business uses data and AI. These courses have been created specifically for those working in businesses or organisations – which differ from the traditional personal upskilling journey of other courses in this realm. Interested in further learning? Discover our full portfolio of online courses.
Module 1: Introduction to Big Data
- Big data for social sciences
- What do you think ‘big data’ means?
- Intro quiz
- Glossary
Module 2: Concepts
- What is big data?
- What is big data? Quiz
- Historical development of big data
- Growth of data
- The history and growth of big data quiz
- Value of data
- Contemporary applications of big data in business
- The value of data and applications in business quiz
Module 3: Applications
- Contemporary applications of big data in science
- Contemporary applications of big data in society
- Applications of big data in science and society quiz
Module 4: Implications
- Implications for individuals
- Implications quiz
- Implications for society
Module 5: Techniques
- Traditional statistics and limitations
- Types of problems suitable for big data analytics
- Characteristics of big data analytics (including visualisations)
- Data Mining techniques
- Techniques Quiz
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