• adelaide

Data Analytics for Managers

Maximise the data analytics capabilities of your team to solve business problems or achieve business efficiencies.

Join - $134What's included?

1,297 enrolled on this course

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The CPD Certification Service

This course has been certified by the CPD Certification Service as conforming to continuing professional development principles. Find out more.

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.

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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.

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

Who is this accredited by?

The CPD Certification Service
The CPD Certification Service:

The CPD Certification Service was established in 1996 and is the leading independent CPD accreditation institution operating across industry sectors to complement the CPD policies of professional and academic bodies.

When would you like to start?

Start straight away and join a global classroom of learners. If the course hasn’t started yet you’ll see the future date listed below.

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 will you learn with?

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.

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.

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.

Who developed the course?

The University of Adelaide

The University of Adelaide is a world-class teaching and research institution. They are committed to developing quality students and lifelong learners who are recognised for their skills, creativity, global outlook and ability to succeed.

  • World ranking

    Top 110Source: QS World University Rankings 2023

What's included?

This is a premium course. These courses are designed for professionals from specific industries looking to learn with a smaller group of like-minded individuals.

  • Unlimited access to this course
  • Includes any articles, videos, peer reviews and quizzes
  • Tests to validate your learning
  • Certificate of Achievement to prove your success when you're eligible
  • Download and print your Certificate of Achievement anytime

Still want to know more? Check out our FAQs

Learning on FutureLearn

Your learning, your rules

  • Courses are split into weeks, activities, and steps to help you keep track of your learning
  • Learn through a mix of bite-sized videos, long- and short-form articles, audio, and practical activities
  • Stay motivated by using the Progress page to keep track of your step completion and assessment scores

Join a global classroom

  • Experience the power of social learning, and get inspired by an international network of learners
  • Share ideas with your peers and course educators on every step of the course
  • Join the conversation by reading, @ing, liking, bookmarking, and replying to comments from others

Map your progress

  • As you work through the course, use notifications and the Progress page to guide your learning
  • Whenever you’re ready, mark each step as complete, you’re in control
  • Complete 90% of course steps and all of the assessments to earn your certificate

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