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Data Science for Climate Change

Learn how to use data science and big data to make crucial decisions that can help fight climate change.

841 enrolled on this course

A representation of people and planet coexisting with data science helping us make decisions that lead to a better environment.

Data Science for Climate Change

841 enrolled on this course

  • 4 weeks

  • 5 hours per week

  • Digital certificate when eligible

  • Introductory level

Find out more about how to join this course

  • Duration

    4 weeks
  • Weekly study

    5 hours
  • 100% online

    How it works
  • Unlimited subscription

    $244.99 for one whole yearLearn more

Gain a solid introduction to data science

On this four-week course, you’ll get started with data science to learn what it is, how it is used, and the societal influence it can have on big issues such as climate change.

You’ll gain a comprehensive understanding of data science including big data, data architecture, and the types of analytics you can use to make data-driven decisions.

Understand how to use visualisation

First, you’ll unpack the process of visualisation to understand how you can accurately represent the information and data you collect. With this knowledge, you’ll learn how visual aids help share your results.

Next, you’ll delve into CRISP-DM to ensure you have a structured approach to your data mining processes.

Learn how to make data-driven decisions

With an understanding of data science, you’ll hone your decision-making skills and gain confidence in making data-driven decisions.

You’ll be guided through the decision process to understand how to navigate the human and machine collaboration to make informed decisions and develop your decision-making style.

Explore climate change adaptation strategies

Finally, you’ll unpack how data science can be used to address the pressing issue of climate change.

You’ll be introduced to what climate change is, adaptation, and mitigation before exploring the many challenges that come with climate change.

Through this exploration, you’ll learn how to use data to find solutions to climate change issues and mitigate impacts.

You’ll see data science and climate change in practice to gain a solid understanding of how this can be used in real-life contexts and the career opportunities it presents.

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Skip to 0 minutes and 27 seconds Climate change is an urgent and undeniable fact, that affects all of us. More than 97% of scientists agree that the earth is warming– –and that human activities are to blame. However, there are still actions we can take to mitigate these issues. With guidance from educators at Luleå University of Technology– –you will learn how data science may be used to address climate change issues– –and how to make decisions that benefit both humanity and the environment.

Skip to 1 minute and 4 seconds The course consists of pedagogically structured steps– –where you will work with data-driven decision-making in the form of video lectures– –alongside illustration and exercises. Join us today, for a smarter future.


  • Week 1

    Getting Started with Data Science

    • Course Overview

      A course overview where the learner will get to know both the subject itself, the course creators and other learners in the community.

    • Data Science Overview

      This activity presents a brief introduction to Data Science.

    • The Data Flood

      This activity presents and discusses the "Data Flood" that is out there in the world and how it can be understood.

    • Analytics

      Analytics is a very important element of data science, therefore in this activity, we will explore analytics and introduce algorithms.

  • Week 2

    Visualization and Analytics as a Process

    • Visualization

      Presenting the analytics' outputs is a critical task, therefore we will explain it in this activity.

    • CRISP-DM

      The cross industry process for data mining is how we conduct data science projects, and accordingly, we will explain it in this activity.

    • Other Processes

      In this activity, we will explore other data science processes rather than the generic one.

  • Week 3

    Data-driven Decisions

    • Decision-making

      In this activity, decision-making will be discussed and explained.

    • Decision-making Process

      In this activity, the phases and activities carried out towards making a decision are outlined.

    • Data-driven Decisions

      Making data-driven decisions is the contemporary wat of making decisions. This activity explains what this means.

    • Human-machine Collaboration

      In this activity we discuss the collaboration between human decision makers and algorithms, as well as the challenges that unfolds.

    • Decision-making Styles

      In this activity, we explain and reflect on the different decision-making styles.

  • Week 4

    Climate Change and Use Cases

    • Introduction to Climate Change

      This activity introduces climate change and relates it to the UN Sustainable Development Goals (SDGs)

    • Climate Change Challenges

      This activity discusses the climate change challenges and their impact.

    • Data Science and Climate Change

      In this activity, we are merging data science with climate change in order to address climate change issues.

    • Use Cases

      This activity provides use case examples on how data science was och could be used to address or solve climate change challenges or problems.

    • Course Wrap Up

      In this activity, the course is concluded and you are given some tips for the future.

When would you like to start?

Start straight away and join a global classroom of learners. If the course hasn’t started yet you’ll see the future date listed below.

  • Available now

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...

  • Evaluate and analyze datasets
  • Apply knowledge about data science to make data-driven decisions
  • Identify and assess climate change issues related to data science activities

Who is the course for?

This course is designed for people who want to improve their analytics and data-driven decision making, with a focus on utilising such skills for addressing climate change.

The course will also be useful for practitioners and policy-makers to build an understanding of the uncertainties and ambiguities inherent in data. What’s more, you’ll discover how data can be used to identify interventions, strategies, and solutions that realise benefits for humanity and the environment.

Who will you learn with?

Ahmed Elragal (PhD) is a Professor in Information Systems, Luleå University of Technology (LTU), Sweden. He is the data science program manager at LTU. He has data science consulting experience.

Abdolrasoul Habibipour (Ph.D.) is a senior lecturer in Information Systems at Luleå University of Technology in Sweden and is Managing director of Botnia Living Lab, Sweden.

Who developed the course?

Luleå University of Technology

The Luleå University of Technology mission is to shape the future through innovative education and ground-breaking research results. Located in the arctic region, the university creates global societal benefit.

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Ways to learn

Choose the best way to learn for you!

Subscribe & save

$244.99 for one whole year

Automatically renews

Develop skills to further your career

  • Access to this course
  • Access to 1,000+ courses
  • Learn at your own pace
  • Discuss your learning in comments
  • Tests to boost your learning
  • Digital certificate when you're eligible

Cancel for free anytime

Buy this course

$134/one-off payment

Fulfill your current learning need

  • Access to this course
  • Learn at your own pace
  • Discuss your learning in comments
  • Tests to boost your learning
  • Printed and digital certificate when you’re eligible

Limited access


Sample the course materials

  • Access expires 15 Jun 2024

Find out more about certificates, Unlimited or buying a course (Upgrades)

Sale price available until 3 June 2024 at 23:59 (UTC). T&Cs apply.

Find out more about certificates, Unlimited or buying a course (Upgrades)

Sale price available until 3 June 2024 at 23:59 (UTC). T&Cs apply.

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
  • Complete 90% of course steps and all of the assessments to earn your certificate

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