数据科学:数据驱动的决策制定

Data Science: Data-Driven Decision Making

Discover storytelling with data and make better business decisions using data wrangling, modelling, and storytelling techniques.

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蒙纳士大学
FutureLearn
  • 完成时间大约为 12
  • 难(高级)
  • 英语
注:本课程由FutureLearn和Linkshare共同提供,因开课平台的各种因素变化,以上开课日期仅供参考

你将学到什么

Data wrangling

R programming

Developing data analysis workflows

Work with and visualise spatial and temporal data

Developing statistical models

Harvesting data

Tidying data

Data collection methods

Data visualisation

Data analysis

课程概况

Develop your own interactive dashboard that tells a data-driven storyData becomes valuable when it allows us to make a decision or take action in the real world.

On this microcredential, you’ll work through practical programming exercises in R language to learn the process of tidying, harvesting and wrangling data and applying statistical models to simulate complex functions that solve a broad range of problems.

Using data visualisation techniques, you’ll learn to interpret and explain data to inform your decision-making process and communicate your message to others.

You’ll also explore the essential ethical, legal and organisational issues of data collection and management.

You’ll gain the skills you need to apply for roles as a data scientist or use the knowledge you’ve gained to enhance your current organisation.

The data science and data analytics industry is expected to grow by seven times in the next few years, reaching a value of $103 billion by 2023.

面向人群

This is a practical microcredential and the application of the skills you’ll learn will benefit a wide range of professional contexts.

From manufacturing to healthcare, tourism to transportation, and media to government, if data or business intelligence is essential to the success of your organisation, this course will ensure you can use your data to make effective business decisions.

预备知识

This data science microcredential is designed for anyone interested in developing skills in industry-standard tools and techniques, and enhancing their ability to use data to inform real-world decision-making.

Monash strongly recommends that you’ve studied maths or statistics at a first-year undergraduate level before joining this microcredential. To complete the programming exercises, you’ll need a computer to install and run RStudio and install R packages.

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