Key Information
About the content
Maximise the data analytics capabilities of your team to solve business problems or achieve business efficiencies with this online course from the University of Adelaide.
- Develop your decision making and management skills informed by data analytics
Data analytics expertise empowers managers to transform their business frameworks and enables them to work effectively with data science teams.
In this six-week course from the University of Adelaide, you’ll develop your knowledge of how data analysts operate in business environments. You’ll learn how to explain data analysis processes, identify trends, and develop data-informed business solutions.
- Explore the fundamentals of data science analysis
Many managers lack the confidence to interpret data, depriving them of useful insights and preventing them from developing a competitive edge.
In this course, you’ll be introduced to the basics of data analysis, equipping you with the skills to work alongside your data science team to derive meaning from data and capitalise on the data analytical skills of your workforce.
- Deliver business transformation by understanding relationships in data
Using engaging case studies, you’ll learn to apply cutting-edge data processing techniques to solve common business problems and discover new patterns in data.
You’ll explore key terminology, from the k-means clustering algorithm to linear regressions, allowing you to interpret data and predict upcoming business trends.
- Discover the power of market basket analysis and network analysis
You’ll learn to analyse transaction data, using the concept of association rules analysis, before moving on to learning the basics of network metrics and analysis.
By the end of this course, you’ll have enhanced your understanding of data analysis and the insights it can deliver within your business environment. Equipped with an understanding of processes used within business data analytics, you’ll be able to work alongside your data analytics team to deliver better strategies and make data-driven decisions.
Prerequisite
This course is designed for managers who want to improve their knowledge of data analytics. It will help both managers and those in leadership work effectively with data science teams and data analysts to improve business processes, identify trends and interpret data.
This course is suitable for managers who already work with data analysts, as well as those looking to expand their business team to include data analysts.
Whilst the primary audience is those in management roles, this course may also benefit those who collaborate with data analysts who wish to further their understanding of data analytic processes, key terminology and practices.
No prior knowledge or experience of data analytics is required, though you do need an understanding of basic maths terminology such as mean, logarithm, and Pythagoras.
Syllabus
Syllabus
Week 1: Introduction to data analytics
Week 2: Discovering new patterns in data to transform your business
Week 3: Making predictions using your data to solve business problems
Week 4: Predicting the category of data points to solve business problems
Week 5: The power of shopping basket analysis
Week 6: What are your influencers?
By the end of the course, you‘ll be able to...
- Explain data analytics and how it is practised and applied within a business environment.
- Evaluate the results of data analysis within a business context.
- Describe different types of data processing and explain how they solve common business problems.
Instructors
Martin White
I am a particle astrophysicist and data scientist at the University of Adelaide. I co-lead a University of Adelaide Data Analytics Group that applies data science to industry problems.
Ethan Carragher
I work as a research assistant in the School of Physical Sciences at the University of Adelaide. Much of my work involves simulating and analysing huge amounts of particle physics data.
Meera Deshpande
I am currently a postgraduate student studying Physics at the University of Adelaide. Along with being a data scientist in the past, I have experience in teaching a first year machine learning course.
Content Designer
Platform
FutureLearn is a massive open online course (MOOC) learning platform founded in December 2012.
It is a company launched and wholly owned by The Open University in Milton Keynes, England. It is the first UK-led massive open online course learning platform, and as of March 2015 included 54 UK and international University partners and unlike similar platforms includes four non-university partners: the British Museum, the British Council, the British Library and the National Film and Television School.
