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

Premium course

What's included?

Accreditation

More info

World ranking

Source: QS World University Rankings 2023

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.

What topics will you cover?


Introduction to data analytics

  • What is data analytics?
  • Roles and responsibilities of a data analysis team
  • Data analytics process
  • Data analysis techniques


Discovering new patterns in data to transform your business

  • Strategies in using new data patterns to transform your business
  • Defining a cluster: similarity and distance measures
  • The k-means clustering algorithm
  • Optimising your clustering analysis with the elbow method
  • Limitations of k-means clustering analyses


Making predictions using your data to solve business problems

  • Simple linear and non-linear regressions
  • Complex linear and non-linear regressions
  • Non-linear regression with neural networks
  • Overfitting


Predicting the category of data points to solve business problems

  • k-Nearest neighbours
  • Decision trees and random forests


The power of market basket analysis

  • Association rules
  • The Apriori Alogorithm


What are your influencers? Uncovering relationships in data through network analysis

  • Basics of networks
  • Network metrics

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