Data Analytics for Managers
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.
Duration
6 weeks
Weekly study
3 hours
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World ranking
Source: QS World University Rankings 2023
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.
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.
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.
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.
Introduction to data analytics
Discovering new patterns in data to transform your business
Making predictions using your data to solve business problems
Predicting the category of data points to solve business problems
The power of market basket analysis
What are your influencers? Uncovering relationships in data through network analysis
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