Explore the role of data visualisation in data science, and learn how to use and apply data modelling techniques.

  • Duration

    4 weeks

  • Weekly study

    12 hours
Overview
Requirements
Educators

Learn how to create and interpret data plots to make more data-driven decisions

Effective data modelling and visualisation enables you to communicate complex information clearly and efficiently. On this course, you will learn to apply modelling techniques and effective visualisation to make data-driven decisions.

Using case studies, you will explore the statistical basis of data science, and apply established statistical and machine learning techniques. You will be introduced to data plot design and the grammar used to construct graphics. You will also learn to fit models to data, and assess and interpret the results of a data analysis.

What topics will you cover?

  • Introduction to machine learning for data science
  • Introduction to statistical models for data science
  • The grammar of data plots
  • Effective design of plots
  • Ensembles of data plots
  • Using data to make 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...

  • Describe the role of data visualisation in data science
  • Compare and contrast a range of statistical and machine-learning tools
  • Demonstrate how to map variables to graphical elements to make data plots
  • Apply modelling techniques and effective visualisation to make decisions with data
  • Demonstrate the ability to fit models to data and evaluate the goodness of the fit
  • Assess and interpret the results of a data analysis

Who is the course for?

This course is designed for anyone interested in using data to inform decision-making.

It would be useful to have studied an undergraduate unit in statistics or have an understanding of statistical concepts.

Who will you learn with?

Dianne Cook

Di Cook is Professor of Business Analytics at Monash University. She is a Fellow of the American Statistical Association, and elected Member of the R Foundation.

Who developed the course?

Monash University

Monash University is one of Australia’s leading universities, ranked in the world’s top 1% by the Times Higher Education World University Rankings. It was established in Melbourne in 1958.

  • Established

    1958

  • Location

    Melbourne, Australia

  • World ranking

    Top 60Source: QS World University Rankings 2021

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

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