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A Life of Happiness and Fulfillment

Offered by

Certificate

A Life of Happiness and Fulfillment

Launched by Coursera, and syllabus offered by the Indian School of Business, A Life of Happiness and Fulfillment certification is a very small course. The inspiration of this course is taken from award-winning content developed by professor Raj Raghunathan from different fields like neuroscience, psychology, and behavioral decision theory.

A Life of Happiness and Fulfillment training gives a recipe to the students for leading a life of contentment, happiness, and fulfillment. The course will involve teachings about the different determinants involved in happiness in one’s life along with skills like happiness, meditation, gratitude, and mindfulness. These skills when applied by students practically will help the participants lead a contented life with peace.

A Life of Happiness and Fulfillment programme by Coursera will offer an end course certificate of achievement. This will allow students who were diligent during their lectures on their way to understand the science, and psychology behind happiness by helping them develop their personality traits. These students can ultimately relate to why the most successful humans are not the happiest, and what all needs to be done to live a fulfilled life.

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3 Weeks
Avatar Psychology for Designers

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Certificate

Avatar Psychology for Designers

3 Weeks
Beginner
Free
Certificate

Intellectual Humility: Theory

3 Weeks
Beginner
Free
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

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Certificate

Psychological First Aid

3 Weeks
Free
Certificate

Body Image and Mental Health in Young People

3 Weeks
Intermediate
1,600
Certificate

Introduction to Cognitive Psychology: An Experimental Science

Cognitive psychology is the subfield of psychology that studies how individuals think. Cognitive psychology focuses on how the interactions between thinking, emotion, creativity and problem-solving abilities influence how and why you think the way you do. Psychology aims to quantify various types of intelligence, ascertain how individuals organize their thoughts and compare various cognitive components. Introduction to Cognitive Psychology: An Experimental Science certification developed by the University of York, the course will be explained by Philip Quinlan and will be offered by FutureLearn.

Introduction to Cognitive Psychology: An Experimental Science online training offers three weeks of digital lessons and a digital certificate after eligibility. Introduction to Cognitive Psychology: An Experimental Science online course focuses on concepts and techniques in key areas of cognitive psychology like reasoning, thinking, and mental imagery. Aspirants will gain an understanding of studying how the mind works and learns why cognitive psychology is an experimental science. Participants will get the opportunity to examine and learn how to conduct an experiment, collect data, and comprehend the science behind memory and behavior. 

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3 Weeks
Beginner
Free
Skills Covered:
Reasoning Knowledge of Psychology Knowledge of healthcare sciences
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

Offered by

Certificate

Statistical Inference

3 Weeks
4,117
Statistics with SAS

Offered by

Certificate

Statistics with SAS

3 Weeks
Intermediate
Free

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