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Data Manipulation at Scale Systems and Algorithms

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Certificate

Data Manipulation at Scale: Systems and Algorithms

The Data Manipulation at Scale: Systems and Algorithms online course by Coursera is the first step in the Data Science at Scale Specialization series. The University of Washington offers the certification course in collaboration with Coursera.

The Data Manipulation at Scale: Systems and Algorithms online certification course aims to teach the landscape of relevant systems to the students and how these systems are evaluated along with the principles on which they rely. Students will also learn the context of data science as well as the history, skills and challenges that come while working with data. Moreover, students will get hands-on experience in learning how to structure a data science project. 

Additionally, the Data Manipulation at Scale: Systems and Algorithms class programme is a self-paced learning course so that students never have to worry about missing a class. At the same time, the course is 100% online so that they can learn from the comfort of their home. The students will be awarded a shareable certificate after completing the course, which can be shared on professional platforms. 

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2 Weeks
Free
Skills Covered:
Knowledge of Python SQL knowledge
Certificate

Data Science: Capstone

2 Weeks
Beginner
Free
The Data Scientists Toolbox

Offered by

Certificate

Cybersecurity in Healthcare Programme

The Cybersecurity in Healthcare Online course will teach us about the opportunities and how digitalisation in healthcare sector services has created challenges. How the growth of medical data has become a prime target of cybercrime. The Cybersecurity in Healthcare Training will help raise awareness about the role of cybersecurity in the healthcare sector. 

The Cybersecurity in Healthcare Certification by Coursera will be held for 5 weeks and will be instructed by the associate professor of Erasmus University Rotterdam, Jason H. Pridmon and Tessa A.P. Oomen Ph.D candidate. The course provides valuable resources and information about cybersecurity and the ways to deal with issues faced in the cyber world.

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2 Weeks
Beginner
2,699
Skills Covered:
Knowledge of Cyber Security
Introduction to the Threat Intelligence Lifecycle

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Certificate

Introduction to the Threat Intelligence Lifecycle

2 Weeks
Beginner
2,699
Cryptography II

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Certificate

Cryptography II

2 Weeks
Free
Introduction to Foreign Exchange

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New York Institute of Finance, New York via Edx
Certificate

Introduction to Foreign Exchange (FX)

2 Weeks
Beginner
Certificate

Assessment of the Newborn

2 Weeks
Beginner
Free
Mastering the Software Engineering Interview

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Certificate

Mastering the Software Engineering Interview

Mastering the Software Engineering Interview is an intermediate-level online training programme that will help software engineers to prepare for the professional interview and get hired into a fine position. Mastering the Software Engineering Interview Certification Course is one of the programmes of Object Oriented Java Programming: Data Structures and Beyond Specialization that can be completed within approximately 2 weeks. 

Mastering the Software Engineering Interview Certification Syllabus will provide you with tips, and techniques to crack a software engineer interview at the topmost tech companies through examples and practices along with the knowledge of coding and programming. Provided by Coursera, Mastering the Software Engineering Interview Certification by Coursera will render the learners with subtitles in different languages including Arabic, German, Russian, English, Spanish, French, Portuguese (European), Italian and Vietnamese. 

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2 Weeks
Intermediate
1,699
Skills Covered:
Knowledge of engineering
Certificate

VLSI CAD Part 1: Logic Course

The VLSI CAD Part1: Logic course by Coursera has been designed to focus on computer-aided design (CAD), and its major design tools to create an Application Specific Integrated Circuit (ASIC) or a System on Chip (SoC) design. The course begins by shedding light on the key representations of Boolean logic that make it possible to synthesize and verify gate-level logic in designs. We further move along the design chain from logic to layout.

This course teaches students to understand how these tools work at their fundamental algorithms and data structures levels. The Coursera VLSI CAD Part1: Logic course includes topics like Computational Boolean algebra, logic verification, and logic synthesis.

Furthermore, Coursera’s VLSI CAD Part1: The logic programme is an online learning course that allows the students to train at their own convenience and pace. The course has been offered by the University of Illinois at Urbana-Champaign which is known for its programs, academic excellence, and internationally renowned faculty as well as alumni.

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2 Weeks
Intermediate
Free
Skills Covered:
Knowledge of engineering
Capital Markets and Key Participants

Offered by

New York Institute of Finance, New York via Edx
Certificate

Capital Markets and Key Participants

2 Weeks
Beginner
Free
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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2 Weeks
Intermediate
Free
Skills Covered:
Machine learning Knowledge of Artificial Intelligence
Certificate

Mathematics for Machine Learning: Multivariate Calculus

The Mathematics for Machine Learning: Multivariate Calculus course provides a brief introduction to multivariate calculus which is necessary for constructing several popular techniques for machine learning. The aim of the course is to provide an intuitive understanding of calculus, as well as the language required to look up concepts when candidates get lost. Candidates can still come away with the courage to dive into some more oriented machine learning courses in the future without going into too much detail. 

The Mathematics for Machine Learning: Multivariate Calculus course is the second one of the 3 courses in mathematics for machine learning specialisation. The goal of this specialisation is to bridge the gap then bring candidates up to speed in the underlying mathematics, develop an intuitive understanding, and relate it to data science and machine learning. The specialisation is pointed at what linear algebra is and how it applies to data in the first course on Linear Algebra. It will then draw attention to what exactly are matrices and vectors and how one can operate them. 

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2 Weeks
Beginner
Free
Skills Covered:
Mathematical skill
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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2 Weeks
Intermediate
Free
Skills Covered:
Machine learning Knowledge of Artificial Intelligence
Deep Neural Networks with PyTorch

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Certificate

Deep Neural Networks with PyTorch

The Deep Neural Networks with PyTorch certification course will teach candidates, how to use Pytorch to create deep learning models. It is a part of the IBM AI Engineering Professional Certificate. There are a total of 6 courses in that specialisation. The Deep Neural Networks with PyTorch training course is the fourth one of them. Artificial intelligence or AI is revolutionising whole industries by transforming the way businesses exploit knowledge to make decisions across sectors. Organisations need skilled AI engineers who use cutting-edge approaches such as machine learning algorithms and deep learning neural networks to provide their companies with data-driven actionable intelligence in order to remain competitive. This Technical Certificate of 6 courses is designed to equip candidates with the tools which are needed to excel as an Artificial Intelligence or Machine Learning engineer in their career. 

Using programming languages such as Python, candidates will master the basic principles of machine learning and deep learning, which includes supervised and unsupervised learning. Candidates will also obtain a digital badge from IBM acknowledging their proficiency in AI engineering in addition to receiving a Technical Certificate from Coursera.

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2 Weeks
Intermediate
1,914
Skills Covered:
Knowledge of deep learning
Fundamentals of Reinforcement Learning

Offered by

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

Fundamentals of Reinforcement Learning

The course Fundamentals of Reinforcement Learning certification course is offered by Coursera by collaboration with the University of Alberta to make the aspirants skilful with machine learning and applications of Artificial Intelligence. The course is free to enrol and can access all the course materials free of cost. Therefore aspirants can use the opportunity for growing their career with a course completion certificate and increase the chances of hiring.

With the digital connection over the world, Business Intelligence over decision making is made essential in organizations. Decision making increases the prosperity of the business. Therefore the use of decision making with Artificial Intelligence and machine learning became most popular when the programme comes into existence. Organizations are looking forward to candidates who are skilled in this type of Artificial Intelligence, Robotics, Machine learning and, the Internet of things (IoT) as well

Coursera is the digital platform to learn the concepts that are offered for free. Candidates can learn throughout their lifetime and can avail of certificates after completion of the Fundamentals of Reinforcement Learning Training course. 

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2 Weeks
Intermediate
Free
Skills Covered:
Decision making skills Machine learning Knowledge of Artificial Intelligence
Machine Learning for Computer Vision

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Certificate

Machine Learning for Computer Vision

The Machine Learning for Computer Vision training is a 2-week online certificate programme offered by PDPM IIITDM Jabalpur. The programme aims to imbue you with essential machine learning skills, especially in the context of computer vision. 

The Machine Learning for Computer Vision course syllabus focuses on both theoretical and practical aspects of machine learning. During the course, you will learn concepts like supervised learning, unsupervised learning, feature extraction, image classification, deep learning, and much more.

Moreover, the Machine Learning for Computer Vision programme also features dedicated online lab and training sessions to help you develop the necessary practical expertise required in the industry. The course content will be delivered online, which you can attend from the comfort of your home.

The Machine Learning for Computer Vision certification programme also has a discussion forum wherein you can engage with your peers and talk about research problems and internships.

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2 Weeks
500
Skills Covered:
Machine learning Knowledge of Artificial Intelligence Knowledge of deep learning
Machine Learning With Big Data

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Certificate

Machine Learning With Big Data

Machine Learning With Big Data is an online certification programme administered by the University of California San Diego to help the students explore machine learning with big data concepts. Machine Learning With Big Data  Certification Syllabus, developed by Mai Nguyen, the Lead for Data Analytics, and Ilkay Altintas, the Chief Data Science Officer, will give the students a clear understanding of strategies of machine learning for the analysis and exploration of data. 

In the Machine Learning With Big Data Certification Course, administered by  Coursera, the candidates will learn to build machine learning models with numerous algorithms and tools as well various concepts of big data. Machine Learning With Big Data Certification by Coursera is the fourth in six programmes of the Big Data Specialization. 

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2 Weeks
1,699
Skills Covered:
Machine learning Knowledge of Big Data
Certificate

Managing Machine Learning Projects

The Managing Machine Learning Projects certification course is a lunch of Duke University’s Pratt School of Engineering, and Coursera. This is course number 2 of the main AI Product Management Specialization programme. The course has a main focus on the practical aspects related to the management of projects in machine learning.

The Managing Machine Learning Projects training will take around 18 hours to get completed. This Coursera programme will walk every participant through different processes like data collection, building of a model, data collection, deployment, and maintenance of the systems of production. Apart from the above the candidates will also be taught processes in data science so that decision making in ML systems can be easier. 

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2 Weeks
Beginner
1,699
Skills Covered:
Project management Machine learning Predictive Modeling knowledge
Guided Tour of Machine Learning in Finance

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Certificate

Guided Tour of Machine Learning in Finance

Guided Tour of Machine Learning in Finance is offered by Coursera for intermediate-level students and learners to know the application of machine learning in finance. The online programme is the first programme in the Machine Learning and Reinforcement Learning in Finance Specialization offered by New York University and the Guided Tour of Machine Learning in Finance Certification Course can also be taken as a separate single programme. 

Provided by Coursera, Guided Tour of Machine Learning in Finance Training will shed light on machine learning and the application of ML to cope with various financial problems. Though the Guided Tour of Machine Learning in Finance Certification by Coursera is offered for intermediate learners, it is very needed for the learners to have an understanding and experience of Python, linear algebra, basic probability theory, and basic calculus to successfully complete the assignments. 

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2 Weeks
Intermediate
1,699
Skills Covered:
Machine learning
Machine Learning Clustering and Retrieval

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Certificate

Machine Learning: Clustering & Retrieval

Machine Learning: Clustering & Retrieval is the University of Washington-offered online certification programme. The online course will expose the students to the practical understanding of clustering and retrieval aspects of machine learning through the case study of Finding Similar Documents. Machine Learning: Clustering & Retrieval Certification Course facilitates the students to take the course completely in online mode from anywhere in the world. 

Provided by Coursera, Machine Learning: Clustering & Retrieval Certification Syllabus will discuss the similarity-based algorithms for retrieval,  latent Dirichlet allocation (LDA), clustering, and the implementation of expectation maximization (EM) and the like. Machine Learning: Clustering & Retrieval Certification by Coursera is the fourth and last course in the Machine Learning Specialization. 

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2 Weeks
1,699
Skills Covered:
Machine learning
Certificate

Machine Learning Basics

2 Weeks
2,699
Certificate

Machine Learning for All

2 Weeks
Beginner
2,699
Unsupervised Machine Learning

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Certificate

Unsupervised Machine Learning

2 Weeks
Intermediate
Supervised Machine Learning Regression

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Certificate

Supervised Machine Learning: Regression

2 Weeks
Intermediate

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