- Duration4 weeks
- Weekly study12 hours
Wrangling and Workflow
Get to grips with big data and the data analysis workflow
Once data has been collected, the next crucial step is to extract its value.
On this course, you’ll explore the importance of data analysis in modern society, how to analyse data effectively, and the challenges that come with analysing big data.
You’ll learn the fundamental techniques of data wrangling, quality evaluation, and workflow for effective data analysis.
You’ll also consider the concept of data visualisation through data stories, and discover the potential impact of data storytelling for communicating data insights.
Data science and data in society
Characterising data types and data formats
What is big data?
Data wrangling: the language of data rearranging and summarising
Data analysis workflow
Introduction to data stories and data storytelling
What will you achieve?
By the end of the course, you‘ll be able to...
- Describe the roles, characteristics and formats of data
- Apply web scraping to collect data
- Demonstrate effective techniques to wrangle data into tidy format in preparation for visualisation and modelling
- Explain data analysis workflow and utilise the principle of reproducibility
- Identify and explain the structure and technology of data reporting
- Explain the concept of Data Storytelling
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 developed the course?
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.
- LocationMelbourne, Australia
- World rankingTop 80Source: Times Higher Education World University Rankings 2019