1660 Courses and Certifications

Coursera Courses & Certifications 2025

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Certificate

Intellectual Humility: Science

3 Weeks
Beginner
Free
Emotional Intelligence Cultivating Immensely Human Interactions

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Certificate

Think Again I: How to Understand Arguments

Think Again I: How to Understand Arguments certification is a course that is currently part 1 of 4 belonging to the specialization of Introduction to Logic and Critical Thinking. The entire course is of 3 weeks duration and is presented on the platform of Coursera by Duke University. All the weeks are divided into some hours each which teaches in the form of videos, ungraded quizzes after each week’s completion, and finally one long graded one at the end.

Think Again I: How to Understand Arguments training will explain what exactly an argument is so that it enables the participants to identify what kind of arguments the different kinds of speakers are giving so that their connections are revealed. Also with this certification course, candidates will be able to fill in gaps for their communication with arguments by adding premises that are suppressed. This will also teach participants to admire other people’s arguments.

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3 Weeks
Beginner
1,699
Skills Covered:
Communication skills
Psychological First Aid

Offered by

Certificate

Psychological First Aid

3 Weeks
Free
Certificate

Energy Harvesting

3 Weeks
Beginner
Free
Black Lives Matter

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Certificate

Black Lives Matter

3 Weeks
Beginner
Inclusion Diversity Equity and Access Essentials

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Certificate

Inclusion Diversity Equity and Access Essentials

3 Weeks
Beginner
Free
Activism in Sports and Culture

Offered by

Morehouse College, Atlanta via Coursera
Certificate

Activism in Sports and Culture

3 Weeks
Beginner
Free
Certificate

Bayesian Statistics

Bayesian Statistics certification is a 3-week long programme where all the participants enrolling must devote approximately 10 hours of their time. This certification course is available on the Coursera platform but has been designed by Duke University. Also, this course is part 4 of 5 in the specialization of Statistics with R Specialization offering a free trial that is valid for 7 whole days. Whoever the interested participants must make sure that they have some kind of prior knowledge of what all is taught in the precious course parts of the specialization.

The Bayesian Statistics training will be responsible for introducing Bayesian comparisons related to means, credible regions, and Bayesian regression using multiple models to the participants. The course finally teaches all the applicants to learn the application of Bayesian methods to several practical issues and implementation in R programming. Apart from providing a certificate that is shareable, the candidates will be able to change the course timings with respect to their convenient schedules.

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3 Weeks
Intermediate
2,699
Skills Covered:
Statistical skills R Programming
Certificate

Causal Inference 2

3 Weeks
Expert
Free
Probabilistic Graphical Models 2 Inference

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Certificate

Probabilistic Graphical Models 2: Inference

Probabilistic Graphical Models (PGMs) is considered to be a strong foundation for encrypting probability arrangement over composite domains. Hence, Probabilistic Graphical Models 2: Inference is drafted to address the questions related to probabilistic inference. This course depends upon the concepts from graph algorithms, probability theory, and machine learning. These concepts are the base for the advanced methods used in various applications like speech recognition, medical diagnosis, natural language processing, etc. These advanced methods are also essential tools in composing various machine learning problems.

In an order of three, Probabilistic Graphical Models 2: Inference is the second one. While the first course, focused on description, this course would address the question occurs in probabilistic inference or in other words use of PGM in answering the questions. PGM is described as a very high dimensional diffusion but its framework is drafted in such a way that it can answer the questions efficiently. The course introduces both approximate and accurate algorithms for the variety of inference tasks, and also talks over the application of each algorithm.

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3 Weeks
Expert
5,029
Skills Covered:
Knowledge of Algorithms Knowledge of Monte Carlo Method
Advanced Linear Models for Data Science 1 Least Squares

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Certificate

Advanced Linear Models for Data Science 1 Least Squares

The Advanced Linear Models for Data Science 1: Least Squares course helps you develop a strong foundation of linear and regression modelling. Johns Hopkins University offers the programme, and your instructors will be subject-matter experts. It is the third part of the Advanced Statistics Specialisation by Coursera.  

Moreover, the course completion certificate that you will receive is shareable, after finishing the Advanced Linear Models for Data Science 1: Least Squares programme by Coursera. It will allow you to establish your relevant expertise in the field. Learn and develop fluency in the basics related to least squares and regression modelling, at your own pace.

In addition, the Advanced Linear Models for Data Science 1: Least Squares course features immersive content, developed around a self-paced model to align perfectly with your schedule. The training also provides adjustable deadlines. Furthermore, the online course allows you to quickly and efficiently start studying. You have to devote nearly 8 hours of learning time to the programme.

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3 Weeks
Expert
3,369
Skills Covered:
R Programming Knowledge of Applied statistics
Statistical Inference

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Certificate

Statistical Inference

3 Weeks
4,117
Statistics with SAS

Offered by

Certificate

Statistics with SAS

3 Weeks
Intermediate
Free
Bayesian Statistics Mixture Models

Offered by

Certificate

Certification Course on Bayesian Statistics: Mixture Models

This certification course in Bayesian Statistics: Mixture Models by Coursera is a one stop place to learn the Bayesian Statistics and its Mixture Models along with its applications in the practical world. The course introduces one of the useful classes of statistics. This course is structured in a way to teach the most practical uses of Bayesian Statistics and its tools. It encourages candidates taking this course to practice and learn as the course progresses by not simply watching the videos but also constantly solving the Bayesian Statistics problems.

The course also utilises the industry software R in some places for solving the course problems. R is an easily available free statistical software that is used in m multiple industries of development, design and manufacturing, etc. The course lays out a basic tutorial to learn the software and teach the uses of it in Bayesian Statistics. Candidates are also encouraged to learn further about R for better advantages in their career.

The course is an intermediate level certificate course in Bayesian Statistics: Mixture Models taught by some of the expert faculty of the University of California Santa Cruz. For candidates who wish to take this course, it should be noted that prior knowledge of principles of estimation in maximum likelihood, Calculus based probability, and the Bayesian estimation is required. The course is a great way to take a step further in the statistics learning field and can provide you with the required edge in your career and the industry.

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3 Weeks
Intermediate
13,514
Skills Covered:
Statistical skills
Sustainable Digital Innovation

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Certificate

Sustainable Digital Innovation

Sustainability and digitalisation are two of the most profound concerns in today’s business scenario. The Sustainable Digital Innovation certification course is created to help you comprehend the sustainable contextual framework in detail. The learnings from this course will enable you to think about how sustainability is quickly changing the methods of conducting business in the present and the future.

Coursera’s Sustainable Digital Innovation online programme is developed by EIT Digital, Europe's leading entrepreneurial and digital innovation organisation. Throughout this online course, you will examine how the alignment of your company's strategy with sustainability goals can offer new business opportunities.

The Sustainable Digital Innovation online course by Coursera is a free-to-join programme that provides you with a chance to get a certification. You will study sustainability concepts with detailed reading material, quizzes, video lessons, guest lectures from experts and business leaders. You will also gain insights into the domain and learn about the tools and techniques you require for driving sustainability.

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3 Weeks
Intermediate
Skills Covered:
Business Management
Privacy in Europe

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Certificate

Privacy in Europe

The intermediate level course offers education in the discipline of the European legal system in order to protect privacy. The Privacy in Europe certification course will discuss topics such as human rights treaties, history of European cooperation, privacy protection, etc. The course also talks about the different legal elements for privacy, rules and regulations to exchange personal data between the USA and Europe, legal elements of the General Data Protection Regulation (GDPR). 

The course involves seven modules that have several videos, readings, and practice papers. It takes almost 18 hours to complete the Privacy in Europe certification syllabus. The self pacing mode requires no deadlines and students are free to choose their own schedules according to their requirements. Students get to earn a certificate at the very end of the Privacy in Europe online course upon the successful completion of the course.

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3 Weeks
Intermediate
3,384
Skills Covered:
Knowledge of Economics
Certificate

Content Strategy for Professionals: Ensuring Your Content's Impact

The continuous process of turning corporate aims and targets into a strategy that employs content as the main tool for accomplishing those goals is known as content strategy. Content Strategy for Professionals: Ensuring Your Content's Impact online certification was developed by Northwestern University and is available through Coursera, which is taught by Candy Lee, a professor, John Lavine, the founder, professor, and director of the Media Management Center, and Randy Hlavac, a professor at Northwestern University and the CEO of Marketing Synergy, Inc.

Content Strategy for Professionals: Ensuring Your Content's Impact online course is the fourth course in the Content Strategy for Professionals Specialization which guides students through the fundamentals of visual communication and shows them how to make font selections, photography, and videography more compelling. Content Strategy for Professionals: Ensuring Your Content's Impact online classes cover subjects like typography, gestalt theory, and storytelling in addition to teaching students how to use their stories to engage an audience and use tested methods and approaches to improve an audience's experience and interests.

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3 Weeks
4,051
Skills Covered:
Storytelling
Water in the Western United States

Offered by

Certificate

Water in the Western United States

3 Weeks
Beginner
Free
Evaluating Designs with Users

Offered by

Certificate

Evaluating Designs with Users

The Evaluating Designs with Users certification course is the third course in the User Experience Research and Design Specialisation series offered by Coursera. Designing a system for users can be a challenging process, as some elements may not work for them. Therefore, it is important that a designer does regular tests and gets feedback from users to improve the design. 

The Coursera Evaluating Designs with Users online course aims to teach students how to conduct tests with the users and evaluate the effect and performance of their design. It focuses on identifying different approaches of user testing and understanding how to design an effective user test. Lastly, the course will teach you how to analyse and report on user testing. 

Furthermore, the Evaluating Designs with Users training is a self-paced learning course which is entirely online. So, students can learn from the comfort of their own home and enjoy the flexibility offered by the course, in terms of resettable deadlines. Upon training course completion, students will also earn a shareable, course completion certificate. 

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3 Weeks
Beginner
3,369
Skills Covered:
Designing skills

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