1660 Courses and Certifications

Coursera Courses & Certifications 2025

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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

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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

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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
Certificate

Introduction to Swift Programming

The Introduction to Swift Programming certification course by Coursera is the first course in iOS App Development with Swift Specialization, which comprises four courses. The certification course is devoted to making learners perform intermediate applications of Swift Programming. Moreover, a learner typically takes approximately 7 hours to finish, while the medium of instruction is English.

As of now, the Introduction to Swift Programming online course uses Swift 2 to teach the learners. Learners can come to the forefront of writing apps in iOS with new capabilities and features in Swift programming. After course completion, learners will become adept in memory management, syntax, object-oriented principles, functional concepts, among others.

Furthermore, the Introduction to Swift Programming training course starts at the introductory level and can be completed quickly. Another course attribute is flexible deadlines and self-paced training. The course has a six-weeks broad curriculum of lectures and activities and the candidate will be awarded a certificate at the end of the certification course.

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3 Weeks
3,369
Skills Covered:
Programming skills
Certificate

Learn to Program: Crafting Quality Code

The  Learn to Program: Crafting Quality Code programme by Coursera is a well-crafted course that focuses on teaching the skill for writing quality code every single time. Quality is a code that will run efficiently and correctly. The learners of the course will be taught to design the program, validate and code it too. The course further elaborates on how they can compare two or more programs that address a similar task. A simple and easy to understand programme that will help candidates upskill themselves for the future needs of programming.

The course will cover key features, responsible for the writing and execution of an efficient code. It will help develop an insight into the palindrome algorithms and using it to solve various problems in the programming domain. It will guide learners to apply logic and solve the most complicated issues in program writing and utilizing simple tools to solve them.

The course requires all the candidates to work on assignments throughout the course, these assignments will give hands-on experience to learners and will be essential in learning to use the concepts of this course and its applications. The Learn to Program: Crafting Quality Code course is an intermediate level course that is taught by specialists from the industry.

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3 Weeks
Free
Skills Covered:
Programming skills Knowledge of Python
Programming Languages Part C

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Certificate

Programming Languages, Part C

Coursera provides an array of courses in diverse fields. These courses include E-learning videos, projects, community forums, peer reviews, and practice exercises. This course is being offered by the University of Washington on Coursera. 

The framework of the Programming Languages, Part C course by Coursera has been designed to give the learners exposure to the basic concepts of programming languages. This course strongly focuses on functional programming as it is important for learning how to write robust, elegant, composable and reusable programmes.

The course offers a blended curriculum which trains the participants in using language constructs effectively and designing correct and elegant programs. The coursework utilizes the languages Ruby, Racket, and ML as vehicles for teaching the concepts which will make the participants more efficient in programming in any language and learning the new ones at the same time. This course, Part C is a part of a 3- part course. The instructor for this course is Dan Grossman, a professor at the University of Washington who has been teaching programming languages at the University since 2003. He holds the J. Ray Bowen Professorship For Innovation In Engineering Education.

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3 Weeks
Free
Skills Covered:
Programming skills
Global Warming II Create Your Own Models in Python

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Certificate

Global Warming II: Create Your Own Models in Python

Global Warming II: Create Your Own Models in Python Certification Course is an elaborate depiction of all the concepts surrounding the application of Python programming for conducting an in-depth analysis of Global Warming. It provides an opportunity for candidates to work on different Python programming exercises wherein they shall explore how numerical modelling is put to use in studying climate sciences and the Earth system.

The successor course to Global Warming I: The Science and Modeling of Climate Change has been crafted for beginners in Python programming and thus provides significant knowledge of the same. During the course lectures, learners will discover easy ways to grasp the intermediate knowledge of Python syntax. This course also provides mid-course quizzes and readings to ensure that extra amount of knowledge which would benefit the students in their learning.

The course has been designed by experts from the University of Chicago under the ambit of Environmental Science and Sustainability under a further broad ambit of Physical Science and Engineering. The university has been known for imbibing new ways of thinking among its learners and thus offers them a lucid practical and conceptual experience of sparking a change in the world with the learnings.

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3 Weeks
Free
Skills Covered:
Knowledge of Python
Delivery Problem

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Certificate

Delivery Problem

3 Weeks
Beginner
6,638
Common Business Oriented Language Programming with VSCode

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Certificate

COBOL Programming with VSCode

3 Weeks
Beginner
Free
Building Cloud Services with the Java Spring Framework

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Certificate

Building Cloud Services with the Java Spring Framework

3 Weeks
Intermediate
Free
How to Modernize Applications with IBM Customer Information Control System

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Certificate

How to Modernize applications with IBM CICS

3 Weeks
Intermediate
Free
Certificate

Multilevel Modeling

3 Weeks
Intermediate
Free
Using SAS Viya REST APIs with Python and R

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Offered by

Swiss Federal Institute of Technology Lausanne via Coursera
Certificate

Functional Program Design in Scala (Scala 2 version)

3 Weeks
Intermediate
Free

Offered by

Certificate

Introduction to Architecting Smart IoT Devices

Introduction to Architecting Smart IoT Devices online certification is designed by EIT Digital and taught by Martin Timmerman - Professor, which is delivered by Coursera for learners who want to master the strategies and techniques utilized for architecting IoT devices. The goal of the Introduction to Architecting Smart IoT Devices online course by Coursera is to assist learners to acquire the knowledge of the features of embedded systems.

Introduction to Architecting Smart IoT Devices online classes incorporate 2 weeks of lectures that cover everything from the basics of the internet of things to the foundations of a robust embedded systems domain. With this course, learners will also be taught about system lifecycle, system modeling, software failures, hardware failures, design patterns, code generation, hacking, traceability matrix, Shannon's principle, and more.

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3 Weeks
Beginner
2,699

Offered by

Certificate

Artificial Intelligence Algorithms Models and Limitations

The  Artificial Intelligence Algorithms Models and Limitations certification course imparts online knowledge to the enrolled students through the platform Coursera. This is a beginner’s level programme designed for students who are keen on understanding the concepts related to machine learning and artificial intelligence. 

The participant of the course does not require to have any work experience for this course and it is open to everyone who is interested. The course revolves around the topics of machine learning, its limitations, and ethical use, etc. The Artificial Intelligence Algorithms Models and Limitations certification syllabus includes four modules that have around three to five video lectures in every module along with practice exercises and additional readings. 

The online training is a self-paced course and does not restrict any student with regards to attendance, timings, or submission deadlines. The Artificial Intelligence Algorithms Models and Limitations online course also provides a course completion certificate when the student completes all the graded quizzes and assignments.

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3 Weeks
Beginner
3,384
Skills Covered:
Knowledge of Algorithms Knowledge of Artificial Intelligence
Certificate

Population Health: Responsible Data Analysis

3 Weeks
Beginner
Free

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