Data-Driven Forecasting for Sustainability from edX

Sustainability is a priority across industries, making data-driven decisions more critical than ever. This introductory course will equip you with foundational concepts of time-series modeling and the forecasting skills necessary to tackle sustainability challenges. Whether you are an environmental scientist, urban planner, or engineer, you will be empowered to leverage your data effectively for sustainable development.

The course offers a hands-on project centered around solar irradiance data, where you will:

Identify trends and seasonal patterns to make informed predictions in sustainable energy.
Model and forecast individual data components to apply to broader sustainability challenges.

This practical experience will give you a comprehensive understanding of how to leverage time-series modeling for real-world applications.

By the end of the course, you will have the crucial foundational skills in time-series forecasting and the ability to make impactful and informed decisions. You will be able to identify patterns, analyze trends, and forecast future outcomes.

Join us to work towards a more sustainable future, using data as a powerful tool to drive change.

What's inside

Learning objectives

By the end of this course, you will be able to:
Identify patterns in data for strategic sustainability decisions.
Forecast with industry-standard, pre-built models and tools

Model and forecast data components for broader sustainability challenges.
Evaluate and interpret time series forecast results.

By the end of this course, you will be able to:
Identify patterns in data for strategic sustainability decisions.
Forecast with industry-standard, pre-built models and tools
Model and forecast data components for broader sustainability challenges.
Evaluate and interpret time series forecast results.

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Provides foundational concepts of time-series modeling, which is essential for tackling sustainability challenges across various industries

Offers a hands-on project centered around solar irradiance data, providing practical experience in sustainable energy forecasting

Focuses on identifying trends and seasonal patterns, enabling informed predictions in sustainable energy and broader sustainability contexts

Teaches how to model and forecast individual data components, which can be applied to a wide range of sustainability challenges

Presented by MathWorks, which is known for its software used in data analysis, modeling, and simulation across various engineering disciplines

Requires learners to use industry-standard, pre-built models and tools, which may require a license or subscription to specific software

Reviews summary

Forecasting for sustainability professionals

According to learners, this course provides crucial foundational skills in time-series forecasting, specifically tailored for addressing sustainability challenges. Students praise the hands-on project centered around solar irradiance data as a highly valuable and practical experience that helps solidify understanding of concepts like identifying trends and seasonal patterns. While many find the content clear and well-structured, some reviewers suggest a need for prior understanding of statistics or programming, indicating it may be less suitable for absolute beginners without these prerequisites. Overall, the course is seen as a strong introduction that effectively covers evaluating and interpreting forecast results.

Good coverage of forecast evaluation.

"Learning how to properly evaluate and interpret forecast results was very useful."

"The section on model evaluation metrics was particularly clear and important."

"I feel confident now in understanding whether a forecast is reliable."

"The course emphasizes interpreting results, which is practical."

Concepts applied directly to sustainability.

"The focus on sustainability challenges made the forecasting concepts highly relevant."

"I appreciated seeing how time-series analysis directly applies to environmental data."

"This course directly addressed the need for data skills in sustainable development."

"It was great to learn forecasting techniques through a sustainability lens."

Provides a solid introduction to time series.

"This course gave me a strong foundation in time-series modeling and forecasting."

"It's a great introductory course for anyone new to forecasting for sustainability."

"I learned crucial foundational skills that I can apply immediately."

"The course covers the basics of time series analysis very well."

Practical project reinforces concepts effectively.

"The hands-on project centered around solar irradiance data was incredibly helpful."

"I really enjoyed working on the solar forecasting project; it made the theory click."

"The practical experience modeling real data was the best part of the course for me."

"The project provided valuable hands-on experience."

Prior stats or programming is beneficial.

"While introductory, I felt I needed a bit more background in statistics than I had."

"Having some prior programming experience (even basic) helps a lot with the tools used."

"The course could be challenging for someone with absolutely no stats or coding background."

"I recommend reviewing basic statistics before taking this course."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Data-Driven Forecasting for Sustainability with these activities:

Review Basic Statistics

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Reinforce your understanding of fundamental statistical concepts like mean, standard deviation, and distributions, which are essential for understanding time series data.

Browse courses on Time Series Analysis

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Review descriptive statistics concepts.
Practice calculating basic statistical measures.
Familiarize yourself with common probability distributions.

Review 'Sustainable Energy – without the hot air'

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Gain a broader understanding of the sustainability landscape and the role of data-driven forecasting in addressing energy challenges.

View Sustainable Energy - without the hot air on Amazon

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Read the chapters on energy consumption.
Study the sections on renewable energy sources.
Reflect on the role of forecasting in energy planning.

Read 'Forecasting: Principles and Practice'

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Gain a deeper understanding of forecasting principles and techniques to enhance your ability to model and interpret time series data for sustainability applications.

View Forecasting: Principles and Practice on Amazon

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Read the chapters on time series decomposition.
Study the examples of ARIMA modeling.
Review the sections on forecast evaluation.

Four other activities

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Analyze Local Weather Data

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Apply time series forecasting techniques to analyze local weather data, such as temperature or rainfall, to predict future trends and understand seasonal patterns.

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Build a forecasting model using the course's tools.
Gather historical weather data for your location.
Apply time series decomposition to identify trends.
Evaluate the accuracy of your forecasts.

Create a Blog Post on Time Series Forecasting

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Solidify your understanding of time series forecasting by writing a blog post explaining the key concepts and techniques covered in the course.

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Choose a specific aspect of time series forecasting.
Research and gather information on the topic.
Write a clear and concise blog post.
Include examples and visualizations.

Practice Time Series Decomposition

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Reinforce your understanding of time series decomposition by practicing with different datasets and identifying trends, seasonality, and residuals.

Browse courses on Time Series Decomposition

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Find several time series datasets online.
Apply time series decomposition techniques.
Interpret the results and identify patterns.

Create a Solar Irradiance Forecast Dashboard

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Develop a dashboard that visualizes solar irradiance forecasts, allowing stakeholders to make informed decisions about sustainable energy production and consumption.

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Gather solar irradiance data for a specific location.
Build a time series forecasting model.
Design and implement a user-friendly dashboard.
Incorporate visualizations of forecasts and historical data.

Career center

Learners who complete Data-Driven Forecasting for Sustainability will develop knowledge and skills that may be useful to these careers:

Environmental Data Scientist

An Environmental Data Scientist uses quantitative methods to understand and address ecological and environmental issues. This course will help you understand how to effectively model time-series data, which is crucial in analyzing environmental changes over time. The course provides experience in identifying trends and patterns, an essential skill for this role. The focus on time-series modeling in this course, along with the work with solar irradiance data, is directly applicable to the work of an Environmental Data Scientist.

See salaries and explore the career path for Environmental Data Scientist

Climate Change Analyst

A Climate Change Analyst studies climate patterns and their impacts, often working to inform policy and adaptation strategies. This role benefits from the time-series modeling skills provided by this course. The ability to forecast with pre-built models, which is taught in this course, is directly relevant to tracking and predicting changes in climate variables. Practical experience gained in the course, such as identifying trends and seasonal patterns, is important in building the skill set of a Climate Change Analyst.

See salaries and explore the career path for Climate Change Analyst

Environmental Consultant

An Environmental Consultant advises organizations on how to minimize their environmental impact and comply with environmental regulations. The skills in time-series modeling, as taught in this course, are well-suited for analyzing environmental data and projecting future outcomes. This course can help an Environmental Consultant by emphasizing identifying trends and forecasting, which is essential for assessing the effectiveness of sustainability initiatives and advising clients on data-driven strategies.

See salaries and explore the career path for Environmental Consultant

Sustainability Analyst

A Sustainability Analyst uses data to assess an organization's environmental impact and develop strategies for improvement. This role requires a keen understanding of data analysis techniques, and this course will help build a foundation in forecasting future trends based on historical data. The course specifically focuses on identifying patterns and seasonal variations, which are critical when analyzing environmental metrics and making projections for sustainable practices. Completing the hands-on project involving solar irradiance data provides the kind of practical experience useful to working with a wide variety of sustainability data.

See salaries and explore the career path for Sustainability Analyst

Renewable Energy Consultant

A Renewable Energy Consultant advises clients on the adoption and implementation of renewable energy systems. The forecasting skills taught in this course are important for predicting the output of renewable energy resources like solar, wind, and hydro. The course's hands-on project involving solar irradiance data will give you practical experience that is directly relevant to this role. By learning to model and forecast renewable energy data, this course helps build a strong foundation to work as a Renewable Energy Consultant.

See salaries and explore the career path for Renewable Energy Consultant

Urban Planner

An Urban Planner develops plans and programs for the use of land and resources in a city. This course will help urban planners utilize time-series data to understand the impact of planning decisions over time. The ability to identify trends, patterns, and make data-driven predictions, skills specifically taught in this course, are important for developing sustainable urban development plans. The course's training in modeling and forecasting will be directly applicable to urban development projects.

See salaries and explore the career path for Urban Planner

Energy Efficiency Specialist

An Energy Efficiency Specialist assesses and recommends ways to reduce energy consumption in buildings and other facilities. This course will help equip you with skills in time series modeling, allowing you to analyze energy consumption data over time. The ability to identify patterns and make predictions, as taught in this course, is crucial for understanding energy usage trends and optimizing consumption. This course is particularly useful for an Energy Efficiency Specialist because of the hands-on project with solar irradiance data, an important resource in the renewable energy field.

See salaries and explore the career path for Energy Efficiency Specialist

Data Visualization Specialist

A Data Visualization Specialist presents complex data in an understandable way. This course will help someone in this role learn how to analyze data to extract insights that can then be visualized. The course's focus on identifying patterns and forecasting data is valuable in determining which insights are most important to illustrate. The time-series forecasting skills taught in this course provide a solid foundation for a Data Visualization Specialist.

See salaries and explore the career path for Data Visualization Specialist

Operations Research Analyst

An Operations Research Analyst uses mathematical and analytical techniques to help make better decisions. This course may be useful to an operations research analyst by providing foundational skills in time series modeling. The course's focus on identifying trends and making forecasts is applicable to optimizing processes and improving efficiency. The course's focus on using data to drive sustainability decisions could be particularly helpful to an Operations Research Analyst working on sustainable operations.

See salaries and explore the career path for Operations Research Analyst

Research Scientist

A Research Scientist conducts studies and experiments to advance scientific knowledge. The data analysis and forecasting capabilities emphasized in this course align with fundamental aspects of scientific research. The course's practical project with solar irradiance data provides relevant experience for a scientist in the earth sciences. The Research Scientist role is typically one that requires a master's or doctoral degree, and this course may be useful in helping build a foundation of relevant skills.

See salaries and explore the career path for Research Scientist

Business Intelligence Analyst

A Business Intelligence Analyst examines company data and market trends to help make better decisions. It may be useful to take this course, which helps build the foundational skills in time-series forecasting. The course offers the ability to identify patterns, analyze trends, and forecast future outcomes, all skills applicable to the work of a Business Intelligence Analyst. The course's hands-on project with solar irradiance data may provide useful experience.

See salaries and explore the career path for Business Intelligence Analyst

Policy Analyst

A Policy Analyst researches and proposes solutions to public policy issues. This course may be useful for policy analysts since understanding data trends and being able to make forecasts can inform policy decisions. This course will help a Policy Analyst, because it provides the ability to identify patterns, analyze trends, and forecast future outcomes. This could be particularly helpful in developing policy related to sustainability issues.

See salaries and explore the career path for Policy Analyst

Supply Chain Analyst

A Supply Chain Analyst optimizes the movement of goods from suppliers to consumers. The forecasting skills taught in this course may be useful in predicting demand and managing inventory. The ability to identify trends and analyze patterns, taught in this course, could be applied to a variety of supply chain management problems. Completing the course's project may provide skills that would be useful for a Supply Chain Analyst.

See salaries and explore the career path for Supply Chain Analyst

Environmental Engineer

An Environmental Engineer applies engineering principles to protect the environment and human health. The predictive modeling skills taught in this course may be useful for environmental engineers in forecasting the impacts of various projects. The course's hands-on experience with time-series modeling using solar irradiance data could be helpful for engineers working on renewable energy and other sustainability initiatives. This course could give an environmental engineer a skill set in data analysis that will help build a foundation for their work.

See salaries and explore the career path for Environmental Engineer

GIS Analyst

A Geographic Information Systems Analyst uses spatial data and software to create maps and analyze geographic patterns. While GIS skills are not directly covered in this course, an understanding of time-series data is useful for analyzing environmental changes over time. The ability to identify and forecast trends that the course provides is useful for a GIS Analyst to integrate spatial and temporal data to make comprehensive models for sustainability. These forecasting skills would contribute to the work of a GIS Analyst.

See salaries and explore the career path for GIS Analyst

Data-Driven Forecasting for Sustainability

What's inside

Learning objectives

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Reviews summary

Forecasting for sustainability professionals

Activities

Career center

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