1660 Courses and Certifications

Coursera Courses & Certifications 2025

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Swiss Federal Institute of Technology Lausanne via Coursera
People Power and Pride of Public Health

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Certificate

The People, Power, and Pride of Public Health

3 Weeks
Beginner
Free
Foundations of Health Equity Research

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Certificate

Foundations of Health Equity Research

3 Weeks
Beginner
Free
Foundational Skills for Communicating About Health

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Certificate

Foundational Skills for Communicating About Health

3 Weeks
Beginner
Free
Opioid Epidemic From Evidence to Impact

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Certificate

Opioid Epidemic: From Evidence to Impact

3 Weeks
Beginner
Free
Disease Clusters

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Certificate

Disease Clusters

3 Weeks
Beginner
Free
Strategies for Senior Housing Communities during Covid 19

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Global Sodium Reduction Strategies

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Certificate

Global Sodium Reduction Strategies

3 Weeks
Beginner
Free
Telehealth Best Practices and Uses

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Certificate

Telehealth Best Practices and Uses

3 Weeks
Intermediate
Free
Certificate

Population Health: Predictive Analytics

3 Weeks
Intermediate
Free
Certificate

Suicide Prevention

3 Weeks
Beginner
Free
Certificate

Python and Machine Learning for Asset Management

Machine learning is a new technological advancement that has been part of many organizations. It is a study of computer algorithms that can improve automatically through the use of data and experience. It is part of artificial intelligence which is a booming domain and is widely used by organizations. The Python and Machine Learning for Asset Management course is an initiative by the EDHEC Business School for learners who are interested in learning machine learning and python programming specifically for asset management. 

Python and Machine Learning for Asset Management training is delivered by the experts on the online learning platform of Coursera. The duration of this online course is 3 weeks and the classes will be completed within the time frame of 16 hours. Candidates will be trained on machine learning approaches in investment management. The platform is providing multiple benefits and Python and Machine Learning for Asset Management certification by EDHEC Business School for the learners who opt for certification mode for this course. 

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3 Weeks
Intermediate
3,277
Skills Covered:
Programming skills Data science knowledge
Certificate

The Fundamental of Data-Driven Investment

3 Weeks
Beginner
Free
Accounting for Decision Making

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Certificate

Accounting for Decision Making

Accounting for Decision Making is an online certification course designed for intermediate-level learners. Instructed by Greg Miller, a professor at Ross School of Business, the online programme will coach the student to make the right decisions based on financial statements. Accounting for Decision Making Certification Syllabus will cover various topics including financial accounting, the balance sheet, the income statement, and many more. 

Administered by Coursera, the Accounting for Decision Making Certification Course is offered by the University of Michigan. Accounting for Decision Making Certification by Coursera is structured flexibly and thus, the learners can set the deadline as per their schedule. However, the online course can be completed within about 3 weeks.

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3 Weeks
Intermediate
2,699
Skills Covered:
Accounting proficiency Financial Management
Impact from Digital Transformation Full

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Certificate

Impact from Digital Transformation: Full Course

Impact from Digital Transformation: Full course Certification by Coursera revolves around the possibilities of digitisation when everything around us seems to get dynamic due to digital change. It is all about handling the disruptive process that is found to unfold in the industry in the present time due to digitisation. Digital Transformation deals with handling the changing dimensions of industries owing to digitisation.

More than that, the course will focus on the core learning of the evolution of the new business landscape and adopting the right corporate strategy for the same. Impact from Digital Transformation: Full course Certification Syllabus has been curated in order to offer a flexible and affordable online learning paradigm to individuals worldwide. Learning is made even more interesting with hands-on projects, additional reading to hone existing knowledge and courses to prepare candidates for every development in the concerned domain.

They can begin with the course for free and pursue the course for certification later. A high-quality curriculum and on-demand lectures for mobile application and desktop at one's schedule sets this course apart from others. Course participants aspiring to take on leadership roles in the business or management sector will benefit from this course.

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3 Weeks
Beginner
Skills Covered:
Knowledge of Digital Tools
Certificate

3D Data Visualization for Science Communication

The course 3D Data Visualization for Science Communication gives an introduction to 3D data visualisation and emphasises on cinematic design and science communication for attracting a wide range of audience. The candidates will build visualisation literacy, they will be able to write and create their own visualisations. The course is provided by The University of Illinois at Urbana-Champaign which is a top university when it comes to teaching, public engagement and research.

The course will cover a wide range of topics under 3D Data Visualization for Science Communication which includes an introduction to scientific visualisation, critiquing visualisation, computer graphics, visualising pipeline, 3D geometry, computational resources, programming, data representation, virtual coordinates, transformations and attributes, data artefacts, pre visualisation, camera design, image artefacts, to name a few.

This course will be purely taught online using lecture videos, quizzes, discussion forum and reference reading materials. The candidates will be expected to clear all the quizzes and tests included in the course to be eligible for being certified in the course if on the event of purchasing the certification.

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3 Weeks
Beginner
Free
Skills Covered:
Designing skills Editing skills Knowledge of Data Visualization
Developing Data Products

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Certificate

Developing Data Products

3 Weeks
4,117
Introduction to Data Science in Python

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Certificate

Introduction to Data Science in Python

Introduction to Data Science in Python is an online certification programme provided by the University of Michigan and available on Coursera which is one of the five specializations of Data Science. Thus, this course must be pursued prior to the other course in the specialisation i.e Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, and  Applied Social Network Analysis in Python. Learners will be able to study data science in Python in greater depth with the tutelage of experienced instructors. 

Introduction to Data Science in Python Certification, accessible on the platform of Coursera, will expose the candidates to basic techniques of Python programming such as lambdas, reading the CSV files, and the NumPy library and python programming environment. By enrolling in the Introduction to Data Science in Python Online Course, the learner will develop the capacity to deal with tabular data and manipulate it along with running the fundamental inferential statistical analyses. 

Introduction to Data Science in Python Certification by Coursera will shed light on data manipulation, and the process of using the group by and pivot tables in an effective fashion. Introduction to Data Science in Python Certification Syllabus will help the students explore the cleaning techniques using the popular python pandas data science library and usage of the Series and DataFrame for data analysis and many more. 

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3 Weeks
Intermediate
1,699
Skills Covered:
Data science knowledge Knowledge of Python

Offered by

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

Reinforcement Learning for Trading Strategies

An understanding of Reinforcement learning (RL) is crucial in machine learning that looks at how gradient boosting should act in an environment to get the most rewards over time. Reinforcement learning is one of the three basic ways that machines can learn, along with supervised learning and unsupervised learning. The Reinforcement Learning for trading Strategies certification course is designed by the New York Institute of Finance along with Google Cloud and taught by Jack Farmer - specializing in training and consulting solutions, which is presented by Coursera. 

Reinforcement Learning for Trading Strategies online classes offer 12 hours of digital lessons that are intended to provide students with a comprehensive understanding of reinforcement learning (RL) and the benefits of using RL in trading strategies, as well as how RL has been used with neural networks and review LSTMs. 

With Reinforcement Learning for Trading Strategies online training students will learn more about how they can be used to look at data over time. Aspirants will be able to use reinforcement learning to build trading strategies, recognize the distinction between actor-based policies and value-based policies, and use RL as part of a momentum trading strategy.

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3 Weeks
Intermediate
3,438
Skills Covered:
Machine learning Trading skills Knowledge of equities Financial knowledge SQL knowledge
Artificial Intelligence for Breast Cancer Detection

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Certificate

Artificial Intelligence for Breast Cancer Detection

3 Weeks
Intermediate
Free
IO-Efficient Algorithms

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Certificate

I/O-efficient algorithms

The I/O-efficient algorithms online course is an EIT digital-based course instructed by Dr Mark de Berg through a wholly online platform for learning with Coursera. The entire programme runs for a duration of 9 hours offering a verified certificate. The I/O-efficient algorithms syllabus will progress through three weeks starting with a curriculum starting with an introduction, cache algorithms, replacement policies and efficient sorting.

The course will be taught in the English language with subtitles in English, Spanish, Russian, French and Portuguese. The  I/O-efficient algorithms by Coursera are planned as advanced level coursework with flexible deadlines for completion. The candidates will need to have some basic prerequisite in the area of mathematics and algorithms to be eligible to enrol for the programme.

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3 Weeks
Expert
Skills Covered:
Knowledge of Algorithms
Approximation Algorithms

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Certificate

Approximation Algorithms

Traditional algorithmic tools are often inefficient for solving various real-world algorithmic problems. For example, many such problems are NP-hard; hence, these tools can’t solve them correctly. Thus, the Approximation Algorithms certification course will make you fluent with the critical algorithmic techniques and concepts that can deal with these challenges efficiently. You can employ such techniques instead of the optimal solution; you need an approximation close to this optimal solution. 

Curated by EIT Digital, the Approximation Algorithms certification syllabus offers 100% online lessons and covers vital topics to make you an expert. These include PTAS, knapsack problems, vertex-cover problems, linear programming, load balancing, scheduling algorithms, and numerous other learnings. By covering these, you’ll become adept in finding the required approximations of a problem’s optimal solutions for solving it efficiently. 

The Approximation Algorithms online course features a renowned instructor, Professor Dr Mark de Berg. It also provides self-directed deadlines to help you learn comfortably, along with English subtitles for the programme videos. Moreover, you can also purchase the training completion certificate to access the valuable accreditation and graded assessments.

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3 Weeks
Intermediate
Skills Covered:
Knowledge of Algorithms
Automated Reasoning Symbolic Model Checking

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Certificate

Automated Reasoning: Symbolic Model Checking

The Automated Reasoning: Symbolic Model Checking certification course offers to learn through online mode. The course talks about the properties of acting systems and programs. The course can be pursued as a free programme in the audit mode, provided the students will not be able to get access to the graded quizzes, assessments, and certification. 

The Automated Reasoning: Symbolic Model Checking certification syllabus includes four weekly modules that can be completed in the time period of 13 hours. Students can also enable English subtitles in the programme. 

There are no restrictions regarding the timings of the sessions or attendance percentage since this is a self-paced programme that lets the user choose their own deadlines. The certification of the Automated Reasoning: Symbolic Model Checking online course is achievable at the end of the course if the participants successfully complete the course after taking the subscription of the programme.

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3 Weeks
Intermediate
Skills Covered:
Programming skills
Automated Reasoning Satisfiability

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Certificate

Automated Reasoning: Satisfiability

If you want to learn the applications for satisfiability tools, Automated Reasoning: satisfiability course is perfect for you. The programme uses several examples to give you a glimpse into the various scenarios where satisfiability can be applied. These examples include program correctness, scheduling problems, puzzle-solving and fitting rectangles used for printing posters. 

Besides this, Automated Reasoning: satisfiability training also offers the underlying theory of using the resolution as a primary approach to propositional satisfiability, applying simplex methods for solving linear inequalities and using the CDCL framework for scaling up big formulas. You will learn these concepts through a series of video lessons, reading material, practise assignments and graded assignments. However, the course encourages you to use the knowledge you receive and apply SAT/SMT to several other problems, such as the problems presented in the honour’s assignment.

Automated Reasoning: satisfiability certification is an online course that takes about 25 hours to complete. It is an intermediate course taught by Hans Zantema and is offered by EIT Digital. You can either join the course for free or take the Coursera membership and secure a certificate of completion.

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3 Weeks
Intermediate
Free
Skills Covered:
Knowledge of computer application
Trees and Graphs Basics

Offered by

Certificate

Trees and Graphs: Basics

The Trees and Graphs: Basics online course is a study of the algorithms and data structures associated with trees and graphs such as tree data structures, binary search trees, self-balancing trees, graph data structures with some fundamental traversal algorithms on graphs. The online program is provided by the online educational platform Coursera and the course curriculum is offered by the University of Colorado Boulder. The course consists of 10 hours of course content that is scheduled for three weeks. The educator for this online training is associate professor Sriram Sankaranarayanan from the University of Colorado Boulder. 

The Trees and Graphs: Basics is part of the ‘Data Science Foundations: Data Structures and Algorithms Specialization’ and the Master of Science in Data Science(MS-DS) degree hence this online course can be taken for the MS-DS degree. This advanced-level program enables the students to utilize flexible deadlines for convenience to complete the course and a shareable course certificate after course completion.

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3 Weeks
Expert
1,699
Skills Covered:
Knowledge of Algorithms Data science knowledge Programming skills Knowledge of Python

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