1660 Courses and Certifications

List of Online Courses and Certifications

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Certificate

Mindfulness in Integrative Healthcare

Mindfulness in Integrative Healthcare certification course is created by Prof. Alex Haley and Prof. Louise Delagran, offered by Coursera, is designed to equip learners with the opportunity to determine whether mindfulness could be beneficial for their patients, explain its possible benefits, and direct them to mindfulness programs and services. The Mindfulness in Integrative Healthcare online course seeks to teach about the research that supports the advantages of mindfulness and meditation for various diseases, as well as how to recognize contraindications.

Mindfulness in Integrative Healthcare online classes by Coursera features 9 hours of HD video-based lectures, as well as activities, assignments, and quizzes to help learners check their mastery of integrative healthcare ideas from the ground up. This course also includes a segment that teaches learners about the advantages of integrative healthcare as a competent health practitioner. Learners will also receive a certificate of completion once they register for and accomplish all of the requirements of this training program.

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5 Weeks
Beginner
1,699
Design Thinking and Predictive Analytics for Data Products

Offered by

Certificate

Design Thinking and Predictive Analytics for Data Products

Design Thinking and Predictive Analytics for Data Products is an intermediate-level programme designed and offered entirely in online mode. The online certification programme is the second programme in the four-course Python Data Products for Predictive Analytics Specialization. Offered by Coursera, the Design Thinking and Predictive Analytics for Data Products Certification Course will discuss the fundamentals of designing predictive models in Python, the design thinking process, design thinking methodology, predictive analytics algorithms, predictive analytics tools, the basics of statistical learning and various methods of building predictive models.

Design Thinking and Predictive Analytics for Data Products Training is prepared and tutored by Julian McAuley and Ilkay Altintas, faculty members of the University of California San Diego. Design Thinking and Predictive Analytics for Data Products Certification by Coursera can also be pursued by learners who hail from non-English speaking backgrounds as the subtitles are available in the languages of Arabic, Vietnamese, German, Russian, French, Portuguese (European), Italian and  Spanish. The practical exposure through the final projects also will be given to the students in the Design Thinking and Predictive Analytics for Data Products online course. 

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5 Weeks
Intermediate
1,699
Skills Covered:
Business analytics knowledge Design thinking
Startups in Open Innovation

Offered by

Certificate

Startups in open innovation

5 Weeks
Beginner
3,686
Data Visualization with Python

Offered by

Certificate

Data Visualization with Python

The Data Visualisation with Python course, offered by IBM via Coursera, is designed to teach learners how to use Python for creating compelling data visualisations. This course focusses on various Python libraries and tools that are essential for data visualisation, making it suitable for those who want to enhance their data analysis skills. Data Visualisation with Python certification course, offered by IBM has total duration of 20 hours and learners can complete the Data Visualisation with Python certification course at their own pace. 

Students will learn the implementation of data visualisation techniques and plots using Python libraries, such as Matplotlib, Seaborn, and Folium to tell a stimulating story along with generating interactive dashboards, creating different types of charts and others, during the completion of Data Visualisation with Python course, offered by IBM via Coursera. A sharable certificate will be provided. Data Visualisation with Python certification course is available in English and 22 other languages with 11 quizzess and one assignment.

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5 Weeks
Intermediate
3,384
Skills Covered:
Knowledge of Python Knowledge of Data Visualization
Python for Data Science and AI and Development

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Certificate

Python for Data Science, AI & Development

Python for Data Science, AI & Development Certification by Coursera will guide candidates through the basics and technical aspects of one of the most popular programming languages which is taught widely in educational institutions due to its relevance in the industry. This course is a perfect start for learning Python for data science and programming in general. It adopts a beginner-friendly pace so anyone willing to know about Python as a programming language can take up the course.

Python for Data Science, AI & Development Certification Syllabus has been designed to train individuals with zero knowledge of programming to master Python in a matter of a few hours. Throughout the course, candidates will learn numerous things like Python fundamentals and data structures and analysis, supported by rich hands-on exercises within the course modules and additional reading material to polish their learnings from the lectures.

By the end of this course, learners will be adept in creating basic programs, solving real-world problems in Python and working with data. This course is well-suited as a free online learning programme for more advanced learning as well wherein professionals with tight schedules can pursue the course at their own pace.

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5 Weeks
Beginner
3,384
Skills Covered:
Knowledge of Python
Natural Language Processing

Offered by

Certificate

Natural Language Processing

The ‘Natural Language Processing’ online certification course is provided for the eligible students to equip themselves with the advanced skills of NLP for everyday tasks, suggest outlooks, and identify the optimum techniques. This online free course is provided by Coursera online education platform and the curriculum is developed by the HSE University. The course duration is designed to be completed in thirty-two hours and the students are allowed to work with flexible deadlines.

The course instructors for this online training are academic and industrial professionals Anna Potapenko(Researcher), Alexey Zobnin(Associate Professor), Anna Kozlova(Team Lead), Sergey Yudin(Analyst-Developer), etc. This course is part of the Advanced Machine Learning Specialization and enables participants to learn using course content provided with subtitles in Arabic, French, Portuguese, Italian, Vietnamese, Korean, German, Russian, English, Spanish, and other practical learning methodologies.

The ‘Natural Language Processing’ online training program helps students receive a course certificate that is shareable online after finishing the course study, assessments, and tests.

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5 Weeks
Expert
Free
Skills Covered:
Natural Language Processing Machine learning Knowledge of deep learning
Code Yourself An Introduction to Programming

Offered by

The University of Edinburgh, Edinburgh , ORT University, Montevideo via Coursera
Certificate

Code Yourself An Introduction to Programming

The University of Edinburgh and University ORT Uruguay provide the Code Yourself! An Introduction to Programming programme in conjunction with Coursera. Global leaders in online learning, these institutes offer the beginner-level course to individuals getting started with programming. Candidates enjoy a comfortable and comprehensive curriculum throughout the certification course.

Moreover, the modules of the Code Yourself! An Introduction to Programming online course is spread across five weeks, which candidates can finish in approximately twelve hours. You can also practice your concepts straightway on Scratch and make the most of the certification course. Besides, the instructors for the course are Dr. Areti Manataki (Teaching and Research Fellow at The University of Edinburgh) and Ines Friss de Kerreki (PhD at University ORT Uruguay).

The Code Yourself! An Introduction to Programming course is perfect for coders who are just starting since the certification course comprises understandable and accessible lectures with exciting assignments. Upon successful course completion, you will also receive a course completion certificate. 

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5 Weeks
Beginner
Free
Skills Covered:
Programming skills Knowledge of Algorithms

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Certificate

Introduction to Programming in Swift 5

Coursera courses give access to E-learning video lectures, quizzes, practice exercises, projects, and community discussion forums. This course is being offered by LearnQuest on Coursera. LearnQuest is a training partner delivering comprehensive industry-leading technology education classes and training solutions worldwide.

The Introduction to Programming in Swift 5 course by Coursera has been created for learners who aspire to learn about the basics of the Swift programming language and develop their career in that direction. This course will give the learners a comprehensive introduction of the basics of Swift programming language irrespective of whether they have any experience with other programming languages. 

The course will give the learners knowledge about the Swift 5 programming concepts, object-oriented programming and model view controller. They will develop the skills required to install the necessary programming tools, working with data such as Integers and Strings, working with data constructs such as arrays, dictionaries and creating reusable code with functions.

It will equip the participants to build simple programs using the Swift programming language and they will be ready to learn iOS mobile development. This course is a part of the Swift 5 iOS Application Developer Specialization Course.

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5 Weeks
Beginner
13,514
Skills Covered:
Knowledge of iOS development
Certificate

Pointers, Arrays, and Recursion

Offered by the Duke University, the Pointers, Arrays and Recursion certification programme is the third programme amongst all the four programmes in Introduction in Programming in C Specialization programme. This is a beginner level programme and hence gives freedom to candidates to learn from the base. The curriculum has been developed by industry experts and so it provides a strong foundation to them. The programme introduces the candidates with the novel concepts namely, recursion, arrays and pointers. The course is delivered online via different modes namely videos, practice exercises, quiz, assignments, and many others. The programme is worth doing and is ideally best suited for professionals who want to excel and master in programming in C.

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5 Weeks
Beginner
3,369
Skills Covered:
Programming skills

Offered by

JetBrains via Coursera
Certificate

Kotlin for Java Developers

Kotlin is the modern computer programming language, it is advanced and gives more power to developers for performing everyday tasks. The kotlin language is safe, concise, and pragmatic. It is focused majorly on interoperability with another language, i.e JAVA code. The application of Kotlin is almost exactly the same place as Java is being used already: development for the server-side, and designing of android apps, etc Kotlin is one hundred percent compatible with the existing Java framework. It has great tooling support. The language is very pragmatic with an intuitive flow that makes it easy to be grasped especially for Java developers. 

This course on Kotlin for Java Developers focuses on JVM bytecode. The course concentrates on the beauty and power of Kotlin, it highlights the basics of the Kotlin language with a discussion on various corner cases, and especially the ones relating to Java interoperability. Certificate Course On Kotlin For Java Developers By Coursera is based most importantly on the Java experience, it will exhibit the similarities existing between both the languages and concentrates on the differences. 

The course is an overview of Kotlin and its interoperability with Java, It will however not cover the fundamentals of programming. It teaches learners functional programming using Kotlin, nullability, programming oriented towards the object using Kotlin, Basic syntax, Java interoperability, power of Kotlin Language standard library.

The course is an intermediate level and it is taught by experts from Jetbrains. This course will help Candidates appreciate the advanced features of using Kotlin integrated with Java. It will better prepare professionals to overcome the programming challenges they face at work and help them find workable solutions.

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5 Weeks
Intermediate
Free
Skills Covered:
Java
Introduction to OpenCL on FPGAs

Offered by

Certificate

Introduction to OpenCL on FPGAs

Much like Nvidia’s CUDA programming, OpenCL is a standard for writing parallel programs, especially for heterogeneous systems. OpenCL instructions are also synthesised into the FPGL environment. The Introduction to OpenCL on FPGAs course will discuss the basics of OpenCL standards. You will also learn about the platform, programming models, execution, and memory that define the OpenCL specification.

Moreover, the Introduction to OpenCL on FPGAs training programme will also cover the syntax of the OpenCL language. The differences and similarities between CUDA and OpenCL will be highlighted as well. Lastly, the course will navigate through the applications of OpenCL language and its advantages.

Dennis Ejorh and Nikhil Venkatesh will be your course instructors. The Introduction to OpenCL on FPGAs online course content will be delivered through readings, video lectures, and hands-on practice exercises. Lastly, if you pay for the certificate option, you will also receive a completion certificate, which you can use to highlight your skills and improve your career prospects.

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5 Weeks
Beginner
Free
Skills Covered:
Programming skills
Certificate

The Challenges of Global Health

5 Weeks
Beginner
Free
Engineering Health Introduction to Yoga and Physiology

Offered by

Offered by

Certificate

Elastic Google cloud infrastructure: scaling and automation

The Elastic Google cloud infrastructure: Scaling and automation course by Coursera has been designed for computer enthusiasts who wish to know more about the comprehensive infrastructure of Google Cloud, along with its many platform services. The course is meant for those who are familiar with the fundamentals of Cloud and wish to learn further. 

The Coursera Elastic Google cloud infrastructure course explores and uses solution elements, that also include load balancing, securely interconnecting networks, infrastructure automation, auto-scaling and managed services. It dives deep into these processes to give a holistic experience about Google cloud and its various elements. 

Furthermore, the Coursera Elastic Google cloud infrastructure: Scaling and automation programme is an online, self-paced learning course allowing students to set convenient deadlines and learn at their speed. You will be learning through a combination of video lectures, demos, and hands-on lab experience to become skilled in the services and performance of Google Cloud.

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5 Weeks
Intermediate
1,699
Skills Covered:
Knowledge of cloud computing

Offered by

Certificate

API Design and Fundamentals of Google Cloud's Apigee API Platform

Application Programming Interface (API) can ensure a faster code. Thus, it is necessary to have consistently designed APIs. This course named, “API Design and Fundamentals of Google Cloud’s Apigee API Platform” is the first one from the three-course series, and is thus an important foundation. 

The API Design and Fundamentals of Google Cloud’s Apigee API Platform course of Coursera introduces you to API Design and the fundamentals of the Apigee platform. The second course is aimed at API security. The third and the last one focuses on the additional API developmental topics. 

Here you will be taught how to design APIs and the best ways you can utilize OpenAPI specifications to document them. You will learn about the aspects of the API lifecycle, and understand how the Apigee API platform assists you in managing all the facets of the life cycle. You will also learn how the APIs can be designed by using API provides and how APIs are encased as products that can be further used by app developers.

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5 Weeks
Beginner
1,699
Skills Covered:
Knowledge of cloud computing

Offered by

Certificate

Exploring Data Transformation with Google Cloud

5 Weeks
Beginner
3,277
How to Win a Data Science Competition Learn from Top Kagglers

Offered by

Certificate

How to Win a Data Science Competition: Learn from Top Kagglers

The How to Win a Data Science Competition: Learn from Top Kagglers online course is a part of Coursera’s Advanced Machine Learning Specialisation. It is a course in the Data Analysis domain and undertaking this course will help you push your limits, and boost your career in data science

The Coursera How to Win a Data Science Competition Course is not a basic machine learning programme. It trains you to get a head-up on your competitors and get high-rank solutions. It gives you a better understanding of practical applications of machine learning methods. 

How to Win a Data Science Competition: Learn from Top Kagglers certification course has a plethora of expert professors and research data scientists who will teach you for the duration of this course. It is offered by the National Research University Higher School of Economics which is one of the top research universities in Russia. You will earn a shareable certificate upon completion, and you can share your skills in data science. 

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5 Weeks
Expert
3,686
Skills Covered:
Predictive Modeling knowledge
Applied Data Science Capstone

Offered by

Certificate

Applied Data Science Capstone

The Applied Data Science Capstone course is a great course to understand the working life of a data scientist through hands-on and practical training. You will be exposed to a host of processes and applications such as learning about location data and data providers like Foursquare and making RESTful API calls to retrieve data from Foursquare API. 

If you do not have access to readily available data, the Applied Data Science Capstone online course will teach you how to scrape web data and parse HTML code. You will be able to refine your exploring and data analysing skills using Python and its panda libraries. Finally, to communicate your results and findings, you will use the Folium library and access maps of geospatial data.  

Applied Data Science Capstone certification can be audited for free. The course is offered by IBM and will be taught by Alex Aklson. The course also provides certification and financial support if you cannot pay the programme fee. 

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5 Weeks
Intermediate
3,384
Skills Covered:
Data science knowledge Knowledge of Python

Offered by

Swiss Federal Institute of Technology Lausanne , Databricks via Coursera
Certificate

Applied Data Science for Data Analysts

Applied Data Science for Data Analysts is an online Databricks-offered programme designed for intermediate-level learners. The online certification is the final course in the three-course Data Science with Databricks for Data Analysts Specialization. Thus, to be eligible for taking the online programme, the learners must have completed the first two courses in the specialization. Applied Data Science for Data Analysts Certification Course, provided jointly by Coursera and Databricks, will help the learners to enrich their data science, and applied data science with python and machine learning skills and help the student to become masters of applied data science. 

The learners passionate about learning about apple data science can enrol and complete the Applied Data Science for Data Analysts Training within approximately 16 hours. As the Applied Data Science for Data Analysts Certification by Coursera is completely offered in the online mode, the candidates can opt for the programme at their convenience and pace from anywhere. 

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5 Weeks
Intermediate
4,091
Skills Covered:
Machine learning Data science knowledge
Cybersecurity Compliance Framework and System Administration

Offered by

Certificate

Cybersecurity Compliance Framework & System Administration

In this data-driven world, cybercrimes are not unknown to anybody. Cyber offenders seamlessly carry out crimes beyond jurisdictions and on an online interface that is likely to trap anybody. Thus, cybersecurity mandates prove to be a golden weapon at the hands of companies and organisations with huge and sensitive databases. Cybersecurity professionals need to be a step further than offenders and henceforth require holistic knowledge of concepts. 

Cybersecurity Compliance Framework & System Administration Certification by Coursera fulfills that requirement and gives course participants the background to understand industry standards and key cybersecurity compliances. The knowledge provided throughout will prove to be beneficial for learners irrespective of the role they wish to partake in an organisation.

Candidates will get a strong grasp of the basic commands for a user and server administration related to security. Endpoint security and patch management have also been sufficiently dealt with. Finally, learners will know more about the in-depth skills around encryption and cryptography to understand their effect on the software. The intended audience of this Cybersecurity Compliance Framework & System Administration training course comprises those wishing to acquire a basic understanding of Compliance, Security Frameworks, endpoint management, cryptography, or encryption.

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5 Weeks
Intermediate
3,384
Skills Covered:
Knowledge of Cyber Security
Introduction to Cybersecurity Tools and Cyber Attacks

Offered by

Certificate

Introduction to Cybersecurity Tools & Cyber Attacks

The Introduction to Cybersecurity Tools & Cyber Attacks certification course is an online programme that revolves around the topics of cybersecurity. Some of the major topics of the course include terminologies used in cybersecurity, various tools and techniques used in real life, etc. The programme can be availed at zero cost in the audit mode. The course material can be accessed for free along with all the lessons available in the course. 

The Introduction to Cybersecurity Tools & Cyber Attacks online course is a beginners' level programme and does not require any specific academic requirements to get started with the course. The self-paced mode allows the user to understand the concepts thoroughly by giving them the power to choose their study timings with no deadlines to learn from the course as per their requirements. The Introduction to Cybersecurity Tools & Cyber Attacks certification syllabus will take up to 11 hours of the students' time to complete the course. The programme is a hundred percent online training and also provides shareable certification at the end of the course. 

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5 Weeks
Beginner
3,384
Skills Covered:
Knowledge of Cyber Security
Sample Based Learning Methods

Offered by

University of Alberta, Edmonton , Alberta Machine Intelligence Institute via Coursera
Certificate

Sample-based Learning Methods

The University of Alberta and Alberta Machine Intelligence Institute offer the Sample-based Learning Methods training programme in conjunction with Coursera. An intermediate-level course, the programme is spread across four weeks, with intensive modules on reinforcement learning. The course will also help you understand how learning from experience can help you attain optimal behaviour. 

The Sample-based Learning Methods certification course will help you understand concepts like Temporal Difference learning, Monte Carlo strategy, exploration, dynamic programming, and more. Moreover, the certification course will provide you with a chance to apply TD algorithms, Expected Sarsa, Q-learning, and more.

Instructors will conclude the Sample-based Learning Methods online course by looking at how algorithms can combine model-based planning and temporal difference updates to fast-track learning. Additionally, the certification course offers the flexibility to learn at your own pace in your own time and set your own deadlines. 

You will also receive a combined shareable certificate from the University of Alberta and Coursera, upon completion of the Sample-based Learning Methods course.

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5 Weeks
Intermediate
13,514
Skills Covered:
Machine learning Knowledge of Artificial Intelligence
Introduction to Deep Learning and Neural Networks with Keras

Offered by

Certificate

Introduction to Deep Learning & Neural Networks with Keras

In the present times where the advances in technology have shifted to IoT (Internet of Things), the concept of Deep Learning can be foreseen as one of the crucial ones, to be understood and well researched. Deep learning is faster and easier to develop and deploy as well. The Introduction to Deep Learning & Neural Networks with Keras certification course, the participants will get a deep insight into the Deep learning models. Furthermore, they will also be able to create models of Deep learning by making use of the Keras library.

The entrant will be introduced to exhilarating applications of Deep Learning. They will be learning about various deep learning algorithms and neural networks which are inspired by the functioning of neurons and the brain with respect to data processing. They will also get an insight into the working of the neural networks to feed the data throughout the network.

The Introduction to Deep Learning & Neural Networks with Keras training will provide knowledge about optimisation of variables as per the defined function, gradient descent algorithm, backpropagation, and updating the weights and biases of neural networks. Furthermore, the entrant will be taught about the activation functions and vanishing gradient problems. 

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5 Weeks
Intermediate
3,369
Skills Covered:
Machine learning Knowledge of Artificial Intelligence Knowledge of deep learning
Prediction and Control with Function Approximation

Offered by

University of Alberta, Edmonton , Alberta Machine Intelligence Institute via Coursera
Certificate

Prediction and Control with Function Approximation

Reinforcement learning is a machine learning method that helps to understand how the software agents should take actions according to the situations and requirements. Helps solve all the problems that have large or high dimensional and potential limitless spaces available. It helps one to investigate how policy prediction and evaluation methods like TD and Monte Carlo can be used to help function approximation settings. 

Prediction and Control with Function Approximation certification course by Coursera include features construction techniques for representational learning through a neutral network, RL and backdrop. This course is designed for the candidates who have completed the first and the second part of the reinforcement learning and specialization training as it is a continuation of the same.

By doing the Prediction and Control with Function Approximation training course they will be a field ready and gain knowledge that will help them master their skills and help upgrade their portfolio which will, in the end, help them towards their successful career. 

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5 Weeks
Intermediate
13,514
Skills Covered:
Machine learning Knowledge of Artificial Intelligence
Getting Started with Amazon Web Services Machine Learning

Offered by

Certificate

Getting Started with AWS Machine Learning

Amazon Web Services (AWS), the most comprehensive and vastly adopted cloud platform across the globe, is a fast, easy and cost-efficient platform to build ML applications. The AWS Machine Learning offers tools and services which cater for the developers and organisations to build ML models more efficiently. Globally, AWS Machine Learning is used by developers to build ML models that can test product designs, assess property damages, improve healthcare operations, analyse customer behaviour, fraud detection and much more.

Getting Started with AWS Machine Learning certification course is an online offered by AWS through the Coursera platform. This certificate programme will assist the participants to gain familiarity and working knowledge of AWS Machine Learning. The course content spreads over 5 weeks and includes module videos covering almost every significant aspect of machine learning. Participants will receive a shareable certificate upon completion of this online certificate programme.

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5 Weeks
Intermediate
Free
Skills Covered:
Machine learning Knowledge of Artificial Intelligence
Using Machine Learning in Trading and Finance

Offered by

New York Institute of Finance, New York , Google Cloud via Coursera
Certificate

Using Machine Learning in Trading and Finance

The Using Machine Learning in Trading and Finance online course is providing a platform for the students to learn and study about the basics that are involved in developing advanced strategies that are used in modern machine learning techniques. 

In the online programme on  Using Machine Learning in Trading and Finance by Coursera, the applicants will be studying the key components that are common to all the trading strategies irrespective of the platforms and dimensions. 

In the Using Machine Learning in Trading and Finance certification syllabus, the enrolled students will be covering the comprehensive chapters of-  Regularization: L1, L2, and early stopping, Regularization: dropout, Lab Intro: Keras functional API, Regularization: the basics, Neural networks with Keras functional API, Collect the data, Backtest on unseen data, Selecting a machine learning algorithm, Lab Intro: momentum trading, Creating features, Define the problem, Split the data and others.

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5 Weeks
Intermediate
3,384
Skills Covered:
Machine learning
Lighting Reflection and Post Processing Effects

Offered by

Certificate

Lighting, Reflection, and Post Processing Effects

The Lighting, Reflection, and Post Processing Effects online course is the second part of a 5-part specialisation offered by Unity Technologies and Coursera. If you wish to appear for the Unity Certified 3D Artist exam, you will benefit from this course series. This is an online training programme offered by Unity and will be taught by Joy Horvath. 

The Lighting, Reflection, and Post Processing Effects syllabus focuses on the Kitchen Configurator application. This application allows users to observe a realistic rendering of a kitchen space and swap out the materials to customise the design. You will also add lighting effects that include simulated sunlight, ambient lighting from a custom skybox, interior lights, and realistic reflections. 

Furthermore, Lighting, Reflection, and Post Processing Effects by Coursera is an intermediate course that you can join for free. You can earn a certificate for completing the course and use it to enhance your credentials and get better job offers. 

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5 Weeks
Intermediate
Free
Skills Covered:
Animation skills
Re-imaging God in Korean Context

Offered by

Yonsei University, Seoul via Coursera
Certificate

Re-imaging God in Korean Context

The Re-imaging God in Korean Context certification course is launched by Coursera and is taught with the joint collaboration of Yonsei University, and Coursera for an estimated time of 7 hours. This is a beginner-level programme with shareable certificates being offered as soon as the course is completed. 

The Re-imaging God in Korean Context training will offer an overview of the different theological perspectives that are related to the cultural context of Korea. The more the students are towards the near course completion they will understand how culture has dynamically influenced the dynamic development of the churches in Korea. The course will be teaching how God is imaged in their cultural context.

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5 Weeks
Beginner
2,699
Skills Covered:
Language skills
Introduction to Graph Theory

Offered by

Certificate

Introduction to Graph Theory

Taking the Introduction to Graph Theory certification course will provide you with useful insights into how engineers design integrated circuits and how GPS systems find shortest routes. You will also learn why a political map can only be coloured using a few colours and how biologists assemble genomes. The course curriculum includes the Ramsey Theory, which proves that complete disorder is impossible in an extensive system.

Additionally, the curriculum for the Introduction to Graph Theory certification course will cover a wide variety of graphs, including Airlines Graphs, Directed Graphs, Bipartite Graphs, and more. You will become adept in applying various algorithms to solve real-world problems via practice exercises and hands-on projects. 

Moreover, National Research University Higher School of Economics and the University of California and San Diego are offering the Introduction to Graph Theory programme jointly. As a result, candidates will be able to find better career opportunities upon course completion. 

The Introduction to Graph Theory online course is highly suitable for professionals working in the IT sector and IT aspirants.

...Read More
5 Weeks
Beginner
13,514
Skills Covered:
Mathematical skill

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