Global Warming II: Create Your Own Models in Python

4.2

Learners: 8,600

Instructor: /

Duration:

This course introduces students to the use of Python programming to create numerical models in the Earth system and climate sciences. Through a series of exercises, students will gain an understanding of the fundamentals of numerical modeling and its application to global warming. ▼▲

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Go to class

Course Feature

Cost:

Free

Provider:

Coursera

Certificate:

Paid Certification

Language:

English

Start Date:

Self Paced

Course Overview

❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [March 06th, 2023]

This course, Global Warming II: Create Your Own Models in Python, provides students with an introduction to the basics of creating models in Python. Students will learn how to create their own models to simulate the effects of global warming on the environment. They will also learn how to use the Python programming language to create and manipulate data. By the end of the course, students will be able to create their own models and use them to make predictions about the future of the environment.

The course begins with an introduction to the basics of Python programming. Students will learn how to create variables, use loops, and write functions. They will also learn how to use the Python library to manipulate data.

Next, students will learn how to create their own models in Python. They will learn how to use the Python library to create and manipulate data. They will also learn how to use the Python library to create and manipulate data. Finally, students will learn how to use the Python library to create and manipulate data.

At the end of the course, students will be able to create their own models and use them to make predictions about the future of the environment. They will also be able to use the Python library to create and manipulate data.

This course is designed for students who are interested in learning how to create models in Python and use them to make predictions about the future of the environment. It is suitable for students of all levels, from beginners to advanced.

[Applications]
The suggestions for the application of this course are to use the knowledge gained to create models in Python that can be used to analyze and predict the effects of global warming. Students should be able to use the skills they have learned to create their own models that can be used to better understand the effects of global warming and to make informed decisions about how to address the issue. Additionally, students should be able to use the models they have created to inform policy decisions and to help inform the public about the effects of global warming.

[Career Paths]
1. Data Scientist: Data Scientists use data to create predictive models and analyze trends. They use programming languages such as Python to develop algorithms and build models that can be used to make decisions. Data Scientists are in high demand as businesses increasingly rely on data-driven decisions.

2. Machine Learning Engineer: Machine Learning Engineers use programming languages such as Python to develop algorithms and build models that can be used to make decisions. They are responsible for designing, developing, and deploying machine learning models. They also need to be able to interpret and analyze data to identify patterns and trends.

3. Climate Change Analyst: Climate Change Analysts use data to analyze the effects of climate change on the environment. They use programming languages such as Python to develop models that can be used to predict the effects of climate change on the environment. They also need to be able to interpret and analyze data to identify patterns and trends.

4. Environmental Scientist: Environmental Scientists use data to analyze the effects of human activities on the environment. They use programming languages such as Python to develop models that can be used to predict the effects of human activities on the environment. They also need to be able to interpret and analyze data to identify patterns and trends.

[Education Paths]
1. Bachelor of Science in Environmental Science: This degree focuses on the study of the environment and its interactions with human activities. It covers topics such as climate change, air and water pollution, and sustainable development. Students learn to analyze data, develop models, and create solutions to environmental problems. This degree is becoming increasingly popular as the effects of global warming become more apparent.

2. Master of Science in Climate Science: This degree focuses on the study of climate change and its effects on the environment. Students learn to analyze data, develop models, and create solutions to climate change-related problems. This degree is becoming increasingly popular as the effects of global warming become more apparent.

3. Doctor of Philosophy in Climate Change: This degree focuses on the study of climate change and its effects on the environment. Students learn to analyze data, develop models, and create solutions to climate change-related problems. This degree is becoming increasingly popular as the effects of global warming become more apparent.

4. Master of Science in Data Science: This degree focuses on the study of data and its application to various fields. Students learn to analyze data, develop models, and create solutions to data-related problems. This degree is becoming increasingly popular as the need for data-driven solutions to global warming becomes more apparent.

Course Syllabus

The ideas behind this model were explained in Unit 7, Feedbacks, in Part I of this class. First we get to generate simple linear "parameterization" functions of planetary albedo and the latitude to which ice forms (colder = lower latitude ice). Second, for any given value of the solar constant, L, we'll use iteration to find consistent values of albedo and T, to show the effect of the ice albedo feedback on Earth's temperature, running away to fall into the dreaded "snowball Earth".