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Formats, Ethics, and Storytelling

Evaluate the challenges of data variety, ethics, and privacy on this course in Monash University's data science microcredential.

  • Duration

    4 weeks

  • Weekly study

    12 hours
Overview
Requirements
Educators

Complete a data analysis project and present your findings in a report

Data is available in a variety of formats and distributed amongst many sources. On this course, you’ll discover the challenge of data variety and explore different storage strategies.

You’ll consider the issues of data privacy, security, and data management, and be able to explain the effect of data integration on privacy. You will also learn to evaluate data architecture and processes.

You will apply your learning from the introduction to data science program in a final data analysis project, where you will write a report of your results, and prepare a video presentation of your findings.

What topics will you cover?

  • Reading data in different formats
  • Data types and storage
  • Data curation and management
  • Ethical and privacy frameworks for data management
  • Creating and presenting a Data Story

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...

  • Explore data storage and processing requirements for a data science project.
  • Evaluate and critique existing data architectures and processes
  • Identify and assess ethical, legal, social and organisational issues in data science
  • Explain the effect of data integration on privacy, and illustrate algorithms for anonymising data.
  • Design solutions for challenges of big data
  • Synthesise information and communicate as a data story

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

Want to know more about learning on FutureLearn? Using FutureLearn