Big Data and the Environment
From sources such as satellites, sensors and social media, how can environmental data analytics benefit business and research?
- Duration3 weeks
- Weekly study3 hours
Big Data and the Environment
Use current examples to explore the potential benefits of environmental big data
From weather fluctuations to the spread of an invasive species, what problems can scientists address by analysing these vast data collections? What are the potential benefits for business, research and our daily lives?
Find out about possible career paths and gain insights from industry experts and research scientists working on a range of current projects. From urban planning to monitoring wildlife, explore the complexities of managing and analysing big data to seek innovative solutions.
Syllabus
Week 1
What is big data?
Welcome to the course
Welcome! Meet the course educators and find out what topics you will cover over the next three weeks as we discuss how big data can benefit research and business.
Sources of big data
Sources of big data are everywhere. Explore a wide range of sources and find out how these can inform research by focusing on two examples; satellites and temperature change.
Storing, processing and analysing big data
Sufficiently powerful computers are necessary to process big data and to ensure it is usable, accessible and relevant for users. Find out more about the requirements for storing, processing and analysing big data.
Review and reflect
This week you explored sources of big data and the requirements for storing it - let's recap the key messages. Next week, you'll move from data to discovery and discuss the skills needed to find and analyse data.
Week 2
Data to Discovery
Open data
There are many advantages to making data open. Hear a research scientist's perspective on open data and how it can be used for research and business development.
The role of a Data Scientist
You need a combination of skills to become a successful data scientist. Find out more about the role of a data scientist from staff at the IEA.
Your turn!
Download, process and analyse a real dataset on power usage in London.
Data challenges
As you've learnt previously, there are several challenges when it comes to big data. Discover more about the solutions to these challenges and hear more about metadata.
Review and reflect
This week you discussed the advantages of open data and explored a dataset for yourself - let's recap the key messages. Next week you'll look at big and small data, and the power of citizen science.
Week 3
Big and Small Data
Welcome to Week 3
Welcome to Week 3! Find out what topics you will cover in the final week of the course and discuss the ways in which small data can be useful.
Big and small data
Big isn't always better. Explore examples where a smaller size has enabled data to be presented in an efficient and meaningful way.
The power of citizen science
Hear from scientists on how volunteers have contributed to their research projects including recording wildlife and monitoring changes in the climate.
Visualising data: big and small
You've heard how powerful visualisations can be for communicating big data. Discuss what makes a good visualisation by exploring a range of examples.
Visualising data: urban planning
Explore the four levels of data visualisation and discuss the principles behind creating a successful visualisation.
Review and reflect
As you reach the end of the course, test your understanding of the topics covered in the final week and think about next steps.
When would you like to start?
Start straight away and learn at your own pace. If the course hasn’t started yet you’ll see the future date listed below.
What will you achieve?
By the end of the course, you‘ll be able to...
- Explain the characteristics and identify sources of big data
- Explore applications of data in environmental science for business
- Understand the skills necessary to be a data scientist
- Discuss the importance of open data and participate in citizen science
Who is the course for?
This course is aimed at professionals seeking a better understanding of environmental big data and the potential these offer to address key questions and underpin novel solutions for business.
It is also relevant to anyone studying environmental topics with a general interest in big data analytics and the complexities and issues surrounding the collection, curation and application of these vast data sets.
Who will you learn with?
Training manager for the IEA - interested in all things about learning and the environment.
Chief Technology Officer at the Institute for Environmental Analytics. We help all kinds of people to understand and make the most of environmental data!
Who developed the course?
University of Reading
The University of Reading has a reputation for excellence in teaching, research and enterprise.
Institute for Environmental Analytics
A world-leading applied Research and Development organisation, helping customers who understand the opportunities of environmental data analytics to manage risk and improve business.
Supporters
content provided by
content provided by
content provided by
content provided by
content provided by
funded by
Learning on FutureLearn
Your learning, your rules
- Courses are split into weeks, activities, and steps, but you can complete them as quickly or slowly as you like
- 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
Want to know more about learning on FutureLearn? Using FutureLearn
Learner reviews
Learner reviews cannot be loaded due to your cookie settings. Please enable all cookies and refresh the page to view this content.
Join this course
Free
Join free and you will get:
- Access to this course for 5 weeks
Upgrade
Upgrade this course and you will get:
- Access to this course for as long as it’s on FutureLearn
- A print and digital Certificate of Achievement once you’re eligible
Unlimited
Buy Unlimited and you will get:
- Access to this course, and hundreds of other FutureLearn short courses and tests for a year
- A printable digital Certificate of Achievement on all short courses once you’re eligible
- The freedom to keep access to any course you've achieved a digital Certificate of Achievement on, for as long as the course exists on FutureLearn
- The flexibility to complete your choice of short courses in your own time within the year
Find out more about upgrades or Unlimited.
Get a taste of this course
Find out what this course is like by previewing some of the course steps before you join:
Do you know someone who'd love this course? Tell them about it...
You can use the hashtag #FLenv_bigdata to talk about this course on social media.
More courses you might like
Learners who joined this course have also enjoyed these courses.
Browse more in Nature & Environment and Science, Engineering & Maths