Skip to 0 minutes and 9 seconds If you’re a business manager, you’ve probably asked yourself, “what if there was a way to make smarter business decisions”? Fortunately, this course, data analytics for managers will help you develop the skills to answer this question and more. You’ll be able to leverage data to improve your business and work more effectively with data analysts. This course is unique. It presents complex data analysis topics in a practical way that you can easily apply to your business environment, even if you have no prior knowledge of data analytics. So, if you’re interested in finding out more about using data to improve your business and solve common business problems, then enroll in this Data Analytics for Managers course from the University of Adelaide. Now.
Data Analytics for Managers
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.
Learning on this course
On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.
What will you achieve?
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.
Who is the course for?
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.
Who developed the course?
World rankingTop 110Source: QS World University Rankings 2023
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