1660 Courses and Certifications

Coursera Courses & Certifications 2026

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Using Python to Access Web Data

Offered by

Certificate

Using Python to Access Web Data

Offered by the University of Michigan, the Using Python to Access Web Data Programme is conducted by Coursera. Coursera is one of the premium skill-based training and learning academies which enables professionals to seek and specialise courses that will aid them in gaining professional competitiveness and edge over other professionals.  Specially curated by experts from the industry, Using Python to Access Web Data Programme is an ideal programme to learn the basics of Python as well as implement it in real-life scenarios. The skills that the candidates will master are Python 3, Web Scraping, XML, JSON and others. 

This certification is a 7-day free trial programme. Thereafter if the candidate is willing to continue then one can do so by paying a nominal amount per month. The programme will also cover Json, HTML and XML data formats in Python. In addition to this, candidates will get a digital or electronic certificate as well as post completion of the course. 

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6 Weeks
Beginner
3,369
Skills Covered:
Knowledge of Python
Certificate

Data Processing Using Python

Data Processing Using Python certification course has been mainly designed for non-computer significance. The course commences with fundamental principles of Python. The candidates would learn to obtain data in Python locally and from the chain, to learn to introduce information, how to regulate data, how to create fundamentals and advanced statistical inspection and anticipate data. They would also learn to design an easy GUI to process and introduce data, enhancing level by level.  

This Data Processing with Python training is based upon the Finance data and establishment of case studies which would empower the candidates to understand the coherence, grace, and durability of Python. The programme will also describe the ability, efficiency, and convenient data processing scope of Python in social sciences and humanities apart from the business field. The course has been updated recently, from Python 2. x the course has started focusing on Python 3. x. Web API is included for parsing and fetching. The modules are available in Chinese but English subtitles are also provided. 

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6 Weeks
Beginner
Skills Covered:
Knowledge of Python Knowledge of Numpy
C for Everyone Structured Programming

Offered by

Certificate

C for Everyone: Structured Programming

The C for Everyone: Structured Programming course by Coursera is the second one in their ‘Coding for Everyone: C and C++ Specialization’ programme. This training is completely self-paced, 100% virtual, and progresses towards an advanced understanding of C and C++. Besides, the deadlines are flexible, and the coursework is in the form of pre-recorded videos. Thus, you will not miss an iota of what is being taught.

The curriculum, created in collaboration with the University of California, Santa Cruz, spans across six weeks, with a practice exercise at the end of every lesson, to help you test the concepts you’ve learnt. The lessons in C will teach you the basics of programming, while the lessons in C++ will develop on those foundational lessons. Moreover, the graded quizzes and assignments with peer feedback will help gauge your expertise even further. 

Furthermore, you will also receive the certification of specialization after you successfully complete the Coursera C for Everyone: Structured Programming programme. The certificate is shareable on LinkedIn, printed Resumes, and CVs. Additionally, Coursera offers financial aid for this course as well.

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6 Weeks
Intermediate
3,369
Skills Covered:
C++ Knowledge of Artificial Intelligence Knowledge of Monte Carlo Method
Certificate

3D printing Applications

The 3D printing applications course by Coursera helps the candidate to understand the application of 3D printing technology in various processes like retailing, designing, and manufacturing. Candidates learn different functions of 3d printing, thus becoming experts in printing complex objects, customization, self-assembly, using different cases of printing, 3d printing with soft materials, design thinking, utensil grip personalization,  etc. The candidates will examine how this technology is used around the world to create solutions for various problems. By the end of the course, the candidates become adept at using this technology to create ideas that can be transformed into objects. The candidates not only become professional in the technical aspect of it but also emerge as entrepreneurs in 3D printing applications.

The 3D Printing Applications by Coursera can be shared on other sites like LinkedIn. This course improves the value of the candidate’s CV and provides high-paying jobs or promotions in their companies.

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6 Weeks
Beginner
3,369
Skills Covered:
Designing skills Design thinking
Certificate

3D Printing Hardware

The 3D Printing Hardware by Coursera will help you to know in learn in-depth about 3D printing hardware. It will teach you how 3D printers are made, their evolution, and their working. With this 3D Printing Harware online course, you will learn how to repair it and use it for printing different things. 

It will help you to create various objects using 3D Printing Hardware. This course is designed in such a way that after completing it you will be able to repair, upgrade and operate a 3D printer. At the end of this course, you can also purchase a 3D printer at a discounted price offered by Ultimaker. 

The 3D Printing Hardware course by Coursera offers flexible study hours. The syllabus is divided into certain modules which contain a specific number of videos, sufficient reading material, and practice exercises to test your knowledge. 

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6 Weeks
Beginner
3,369
Skills Covered:
Designing skills
Certificate

State Estimation and Localization for Self-Driving Cars

Coursera offers the Estimation and Localization for Self-Driving Cars certification course in association with the University of Toronto. The certification course introduces students to different sensors for correctly estimating the state and localization of a self-driving vehicle.

Moreover, by the end of the Estimation and Localization for Self-Driving Cars course, you will learn all about Kalman Filters and Iterative Closest Point algorithm with LIDAR. The certification course will also cover least squares, and how to relate GPS with IMUs. You will be able to build models for typical vehicle localization sensors.

Upon course completion, you will become adept in developing a full vehicle state estimator independently. The course material is comprehensive and features quizzes, as well as projects, to assist you in learning with ease.

Lastly, candidates will undertake a final project to complete the Coursera State Estimation and Localization for Self-Driving Cars course. On successful completion, candidates will receive a certificate from the University of Toronto, sharable on LinkedIn profiles or CV.

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6 Weeks
Expert
13,514
Skills Covered:
Programming skills
Equivalent Circuit Cell Model Simulation

Offered by

Certificate

Equivalent Circuit Cell Model Simulation

Electric Engineering is one of the best course studies to be a part of and it is one that has a definite position in both present and future, offering stable career opportunities for a long time to come. A certificate of this course from a university as prestigious as the University of Colorado Boulder and the University of Colorado System is guaranteed to make many doors and windows open through.

The Equivalent Circuit Cell Model Modulation programme by Coursera has been brought to the candidates with excellent content materials and real world based projects for an intermediate level. It teaches the values, properties, and simulation of each of the components of a lithium Ion cell and hones these skills to perfection.

Not only that, the experience gained here along with the course studied in such great detail will put the candidates at the top bar for Electronic Engineers and give them an early and the very important head start in the competition of today.

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6 Weeks
Intermediate
13,514
Skills Covered:
Knowledge of electronics

Offered by

Certificate

Big Data Essentials: HDFS, MapReduce and Spark RDD

For candidates looking forward to making a successful career in the big data industry, this certificate course on Big Data Essentials: HDFS, MapReduce and Spark RDD is the best way to get started. This course gives you new tools and reading materials to direct you in the right direction. Technologies like MapReduce, HDFS and Spark are all covered in this certificate by Coursera. The 6 course is of 6 weeks and helps candidates learn the basics of technologies in the Big Data field. It guides you throughout the system internals as well as its applications in the real world.

Candidates can expect to learn about the distributed file system, the reason for their existence and their functions. This course will guide candidates to build a stronger understanding of the big data technology and concepts to better utilize them in their work. The programme focuses on developing skills in learners to learn and use these tools in creating a solution for social networks, finance, telecommunications and other fields.

The Big Data Essentials: HDFS, MapReduce and Spark RDD programme offer relevant assignments that impart practical knowledge and experience to solve the most pressing problems in the field of big data. It presents an opportunity to evaluate the assignments of candidates on a real cluster.

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6 Weeks
Intermediate
Free
Skills Covered:
Knowledge of Python Knowledge of Apache Spark

Offered by

Certificate

Big Data Analysis: Hive, Spark SQL, DataFrames and GraphFrames

We are witnessing a phenomenal era, which is digitally powered with technologies flourishing exponentially. With the strong presence of Big Data, computer systems are now capable of deriving acute information and desired results through analysis of this structured and unstructured data, which ultimately forms the ‘big data’. It is also witnessed that such analysis of Big Data is highly relevant and informative for large organisations, businesses and professionals to optimize their performances.

Considered to be information assets, Big Data enables effective decision making, optimizing processes and cost effectiveness in large, medium as well as small organisations. However, to yield the benefits of this high volume, high velocity and high variety of big data, it becomes essential to analyse this big data using various tools and techniques. This is where the knowledge of using Hive, Spark SQL, DataFrames and GraphFrames comes very handy. Analysts engaged in big data analysis are highly in demand and using these tools, one can efficiently analyse the big data to facilitate important decision making and process optimisation in their employer organisations.

The Big Data Analysis: Hive, Spark SQL, DataFrames and GraphFrames online programme offered by Coursera will impart key skills to the participants in using big data analysis tools and pursue their careers in the area of big data analysis. 

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6 Weeks
Expert
Free
Skills Covered:
Knowledge of Apache Spark
Analyzing Big Data with SQL

Offered by

Certificate

Analyzing Big Data with SQL

Analyzing Big Data with SQL Certification by Coursera offers its learners an extensive analysis of the SQL SELECT statement and its main clauses. Candidates will have the opportunity to study big data SQL engines Apache Impala and Apache Hive. Additionally, their acquired learning can be implemented to SQL with traditional RDBMS as well. The experienced instructor from Cloudera comprehensively deals with the differences between MySQL and PostgreSQL.

This beginner-level, free-flowing course has been made for a wider audience who wish to learn about querying big data with modern distributed SQL engines. Now that traditional relational databases have become insufficient for large packets of data, the data cannot be stored in commercial data warehouses anymore. As a result, the concepts of distributed clusters and cloud storage have started to gain momentum. 

Learning about the cost-efficient and infinitely scalable data stores in Analyzing Big Data with SQL Certification Syllabus will expose them to newer concepts of the SQL engine. Course modules have holistically covered open-source SQL engines capable of querying enormous datasets. All in all, this course proves to be highly relevant for data analysts.

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6 Weeks
Beginner
3,384
Skills Covered:
SQL knowledge
Mathematical Thinking in Computer Science

Offered by

Certificate

Mathematical Thinking in Computer Science

Mathematics and computer science have entrenched relationships as math forms an important background in the field of computer science and computer science also has a lot of applicability math. As math is abstract, it helps in learning all the other programming languages. 

Mathematical thinking is critical in all the crucial areas of computer science like bioinformatics, data science, machine learning, algorithms, computer graphics, etc. In this course, Mathematical Thinking in Computer Science by Coursera, you will be taught the most significant and paramount tools used in discrete mathematics like recursion, logic, examples, induction, optimality. 

In this course, we apply a practical approach: try-this-before-we-explain-everything. Due to such a practice, you will be solving a plethora of interactive and mobile-friendly puzzles. These are carefully designed to give you a chance and opportunity to invent many of the crucial ideas and concepts by yourself. 

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6 Weeks
Beginner
13,514
Skills Covered:
Mathematical skill
Combinatorics and Probability

Offered by

Certificate

Combinatorics and Probability

Here most standard combinatorial settings are addressed in the Combinatorics and Probability course that can help answer questions of this nature. In particular, this course focuses on improving the ability to differentiate these settings from algorithmic problems in real life. This will assist candidates to apply new knowledge in practice. Besides that recursive counting technique that is necessary for algorithmic implementations is also addressed here.

The Combinatorics and Probability course is part of Introduction to Discrete Mathematics for Computer Science Specialisation. There are total of five courses in it and Combinatorics and Probability is the second one. The language of computer science is known as Discrete Mathematics. In many areas including data science, software engineering and machine learning, one needs to work fluently. Via a fun approach, candidates are introduced to this language. Firstly they will solve several interactive puzzles that are specially designed especially for this online specialisation. Then actual solving methods and significant ideas will be introduced to them. It is sure that candidates will gain a deeper understanding in this way and will appreciate the beauty of the underlying concepts better. Programming examples, projects and problems are integrated into the specialisation in order to get the knowledge closer to IT applications.

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6 Weeks
Beginner
13,514
Skills Covered:
Mathematical skill
Fatigue Failure in Different Fields of Engineering

Offered by

RUDN University , E-Learning Development Fund via Coursera
Certificate

Fatigue Failure in Different Fields of Engineering

Recently, there has been a growing trend towards improving quality in various industries. This is due to the rising global competition and customers’ growing need for reliable products. That’s why special attention must be paid to fatigue, as it’s one of the leading causes of industrial failure and directly affects product quality. The Fatigue Failure in Different Fields of Engineering programme will tackle many topics about this.

Fatigue Failure in Different Fields of Engineering course aims to introduce Ph.D. students, M.Sc graduates, and engineers working in the industry to the fundamentals of fatigue in different engineering fields. The training curriculum covers common causes of component failure and challenges faced by engineers. The programme also includes hands-on training via the ANSYS workbench platform.

The course content for Fatigue Failure in Different Fields of Engineering training is delivered through video lectures and readings. Also, you can complete the end-of-the-week and homework assessments to understand the week’s learnings better. Lastly, after you’ve completed all modules, you must appear for the final exam. 

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6 Weeks
Intermediate
Free
Skills Covered:
Knowledge of engineering
Staying Alive First aid in Emergency

Offered by

Kazan Federal University, Kazan , E-Learning Development Fund via Coursera
Certificate

Stayin’ Alive! First Aid in Emergency

The Stayin’ Alive! First Aid in Emergency certification course is designed to make you familiar with the basic actions you need to perform at any emergency scene. Offered by the E-Learning Development Fund, this online programme will enable you to provide correct first-aid to anyone in need.

Coursera’s Stayin’ Alive! First Aid in Emergency programme will teach you first aid methods for different scenarios. These include first aid for trauma, drowning, heart arrest, bleeding, and more.

The Stayin’ Alive! First Aid in Emergency syllabus has six modules with insightful video tutorials and module tests. The material also includes videos and pictures from the Kazan Federal University’s simulation centre to help you understand the concepts better.

After the Stayin’ Alive! First Aid in Emergency training, you will become adept at recognising life-threatening conditions. You will also understand the factors that lead to their development. At the end of the programme, you can opt for a digital course completion certificate.

Also Read:

Teaching Healthcare Professionals

Health Informatics for better and safer healthcare

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6 Weeks
Beginner
Free
Skills Covered:
Knowledge of healthcare sciences
COVID-19 Training for Healthcare Workers

Offered by

Certificate

COVID-19 Training for Healthcare Workers

All healthcare professionals need to be ready to identify, stabilize, and treat patients with novel coronavirus infections since COVID-19 is spreading quickly over the world. Stanford University developed the COVID-19 Training for Healthcare Workers online certification, which is delivered by Coursera and taught by S. V. Mahadevan, a professor, and Matthew Strehlow, an associate professor and is intended for participants who are employed in the healthcare industry or aspire to work as healthcare providers such as physicians, and pharmacists.

COVID-19 Training for Healthcare Workers online training is a self-paced course in which learning modules are divided into brief films and presented engagingly over 8 hours. The COVID-19 Training for Healthcare Workers online classes are designed to cover a wide range of subjects, including analyzing the symptoms and signs in COVID-19 patients, early patient stabilization, avoiding the need for intubation, healthcare management, patient management, shock evaluation, CME evaluation, managing a dyspneic patient on a ventilator, managing a multi-system inflammatory system, and more.

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6 Weeks
2,699
COVID 19 Contact Tracing

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Certificate

COVID-19 Contact Tracing

To stop the spread of illness, the process of "contact tracing" involves locating, warning, and keeping track of people who may have been in contact with someone who has a proven or probable cause of an infectious disease like COVID-19. Johns Hopkins University developed the COVID-19 Contact Tracing certification course, which is offered through Coursera and is instructed by Emily Gurley, Ph.D., MPH & Associate Scientist.

COVID-19 Contact Tracing online classes focuses on explaining to the participants the science behind SARS-CoV-2, such as the clinical manifestation of COVID-19, the infectious period, and the scientific proof of how SARS-CoV-2 is transmitted from individual to individual, as well as the reasons why contact tracing can be such a successful public health intervention. The COVID-19 Contact Tracing online course consists of 6 hours of lectures that cover the strategies and methodologies for conducting contact tracing, such as how to establish rapport with patients, find out who their contacts are, and help both and their contacts limit transmission in their societies as well as teaches about the ethics of isolation and quarantine.

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6 Weeks
Beginner
Skills Covered:
Listening skills Knowledge of epidemiology
Certificate

Managing Your Health The Role of Physical Therapy and Exercise

The Managing Your Health: The Role of Physical Therapy and Exercise certification by the University of Toronto is a 6-week online course. This online certification course includes 12 hours of content and is delivered via Coursera. The Managing Your Health: The Role of Physical Therapy and Exercise certification course from the University of Toronto via Coursera is aimed at providing learners with the concepts and benefits of physical therapy and exercise. Managing Your Health: The Role of Physical Therapy and Exercise is a beginner-level online course offering flexibility so that learners can complete the course at their own pace.

The Managing Your Health: The Role of Physical Therapy and Exercise certification syllabus will expose students to the importance of physical activity and exercise, common sports injuries, exercise and cardiovascular disease, osteoporosis, cancer, and arthritis. The course will be taught by eminent faculty from the University of Toronto through video lectures, reading materials and quizzes. Aspirants can enrol in the Managing Your Health: The Role of Physical Therapy and Exercise online course for free. However, they need to purchase it if they want to get a certificate.

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6 Weeks
Beginner
Skills Covered:
Knowledge of anatomy
Strategies for Assisted Living Communities during Covid 19

Offered by

Machine Learning with Python

Offered by

Certificate

Machine Learning with Python

The Machine Learning with Python certification course offered by IBM is a comprehensive program designed to introduce learners to the basics of machine learning using the Python programming language. Machine Learning with Python programme offered by IBM is the 13 hours (approx.) duration certification course having 6 moudules in total where students can learn on their own pace.

The Machine Learning with Python  certification course, offered by IBM via Coursera, is the intermediate level programme where students will learn classification techniques using different classification algorithms, namely K-Nearest Neighbors (KNN), decision trees, and Logistic Regression. You’ll also learn about the importance and different types of clustering such as k-means, hierarchical clustering, and DBSCAN.  Machine Learning with Python certification course offered by IBM helps the students to learn new concepts from industry experts and develop job-relevant skills with hands-on projects along with shareable career certificate from IBM.

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6 Weeks
Intermediate
3,369
Skills Covered:
Machine learning Knowledge of Python Knowledge of Scikit-Learn
Certificate

Machine Learning for Accounting with Python

Machine Learning for Accounting with Python is an intermediate-level certification course offered by the University of Illinois at Urbana-Champaign. The online course can be covered by the learners within about 6 weeks. Machine Learning for Accounting with Python Certification Syllabus will walk you through the application of machine learning algorithms in problems related to accounting. 

Learning for Accounting with Python Certification Course, offered by Coursera, is the third in the four courses in the Accounting Data Analytics Specialization. Through the online course, the learners will be able to understand classification, clustering, Python programming, machine learning and the like. Machine Learning for Accounting with Python Certification by Coursera is an online programme prepared in a way that enables the students to take the course at their convenience and time. 

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6 Weeks
Intermediate
1,699
Skills Covered:
Machine learning Knowledge of Python Financial Management
Certificate

Design Thinking and Global Startup

The Design Thinking and Global Startup Training Course focuses on the systematic engineering design methodology which is the Stanford Design Thinking process. During this course, students will learn about 4th industrial revolution technologies such as Factory as a service (FaaS) with Artificial Intelligence (AI), Big data and 3D printing. Students will also learn about the tools such as one-liner, lean-canvas and global investor relations (IR) in this course.

The Design Thinking and Global Startup Online Course is of 6-weeks in duration which will be instructed by Yoon Yong Jin, Korea Advanced Institute of Science and Technology (KAIST). The course will be taught through expert lecture videos and assessed through module quizzes. The course will be beneficial for learners who are aspiring to become entrepreneurs or those who wish to start their own global innovative startups. Learners will be rewarded with a certificate after successful course completion.

...Read More
6 Weeks
Beginner
2,699
Skills Covered:
Knowledge of Big Data Knowledge of Artificial Intelligence Entrepreneurial skills
A Complete Reinforcement Learning System Capstone

Offered by

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

A Complete Reinforcement Learning System (Capstone)

The Reinforcement Learning System (Capstone) certification course is a part of the ‘Reinforcement Learning Specialisation’ programme available on Coursera. This course is the 4th and final course in the series and aims to provide the students with complete practical knowledge on how to carry out Reinforcement Learning solutions in the real world.

In the Reinforcement Learning System (Capstone) online course, students will gain well-rounded and application-based skills that will help them in implementing Reinforcement Learning. They will complete the entire Reinforcement Learning problem-solving process – starting with the formulation of a problem, assessing the appropriate algorithm for the problem, and validating the impacts of the algorithm.

The Reinforcement Learning System (Capstone) programme by Coursera is suited for anyone who is expected to perform RL solutions in their field, along with the knowledge of skills like Machine Learning and Reinforcement Learning. The candidates will delve deep into the formalisation of a problem and how to translate it into an MDP. Finally, they will submit their Parameter Study towards the end of the course.

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6 Weeks
Intermediate
13,514
Skills Covered:
Knowledge of Algorithms Machine learning Knowledge of Artificial Intelligence
Practical Reinforcement Learning

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Certificate

Practical Reinforcement Learning

The Practical Reinforcement Learning programme by Coursera is the fourth out of the seven courses included in the ‘Advanced Machine Learning Specialization’. Offered by the National Research University- Higher School of Economics, this online programme will make you an expert in the field of machine learning.

Reinforcement Learning is one of the fundamentals of machine learning. Without getting a good grasp of this particular area, one cannot master the art of artificial intelligence. With the certification course in Practical Reinforcement Learning by Coursera, you can get in-depth knowledge about Reinforcement Learning and hone the various skills required to master this area of machine learning.

The Practical Reinforcement Learning online course by Coursera is well equipped with a planned curriculum as well as offerings like graded quizzes and assignments, peer feedbacks, practice quizzes, etc. that will help you to become proficient in this field. You will earn a shareable certificate upon completion as well.

The Practical Reinforcement Learning online programme by Coursera is a full package that covers all the core concepts of Reinforcement Learning, including free methods, dynamic programming, value-based methods, neural networks, algorithm-writing, model-free methods, and more.

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6 Weeks
Expert
3,686
Skills Covered:
Machine learning Data science knowledge Knowledge of Artificial Intelligence Programming skills Knowledge of Algorithms
Algorithmic Toolbox

Offered by

Certificate

Algorithmic Toolbox

The certificate programme on Algorithmic Toolbox by Coursera is an intermediate level course that will cover basic ideas for problems arising in the practical applications of computational problems, algorithmic techniques, greedy algorithms, Sorting and searching, Dynamic programming, and divide and conquer. The course offers a lot of theory and understanding of the burning questions in programming. It helps candidates develop an understanding of how to solve the most commonly arising problem and how they can break it into pieces and solve them recursively, Further how they can sort data and how it can help in searching, when it is ok to proceed greedily and how genomic studies use dynamic programming.

The candidates will be given enough practice in solving the computational problems, implement the solutions efficiently, design new algorithms, and ensure the easy and smooth running of the programs. This course forms a part of specialisation in Data structures and algorithm specialisation, for candidates willing to learn more about the topic and further continue to take the specialization too.

For candidates and professionals willing to learn about the new challenges in programming and better equip themselves for staying relevant in the industry this course on Algorithmic Toolbox will offer a much better understanding of the subject and help them take the next step in their career.

...Read More
6 Weeks
Intermediate
13,514
Skills Covered:
Programming skills Knowledge of Algorithms
Data Structures

Offered by

Certificate

Data Structure

The soul of programming is said to be data structures and algorithms. Data structures aim to hold the data while the algorithms aim to solve the problem using the data. Data structures are the key to the computer algorithms which help the programmers to manage the data efficiently. The perfect selection of data helps to enhance the efficiency of the computer programme.

Computer science in this era is all about sorting and computing from given data. So, it is necessary to have a powerful knowledge about data structure, it will help one deal with different ways of arranging, storing and processing the data. It helps in utilizing maximum space and also decreases the complexity in deletion of data, addition as well as insertion of data.

To be a successful data processor one should acquire all the skills appropriately and should master their skills that will make them stand out of the crowd. Each and every company searches for an employee who has the ability to overcome all the problems and keep up to the needs and the requirements of the company. This is the platform where they can shape their skills for the same.

...Read More
6 Weeks
Intermediate
13,514
Skills Covered:
Programming skills
Certificate

Data Structures and Performance

It seems difficult for Java to deal with data in huge quantities. Various data algorithms and frameworks work together when applications exercise vast and real data sets. Data Structures and Performance is a Java course at an intermediate level which is recommended to the candidates who have an experience or familiar with computer science or software development. The programme focuses on establishing code which finishes the work effectively and efficiently by giving accurate results.

In this programme, the candidates would get an opportunity to analyze and utilize data structures that are applied in industry-level applications like hashtables, trees, and lists. The concepts will describe how the data framework makes programmes flexible and efficient. Through this course, the candidates can apply to Professional Certificates programs as well as multiple specializations. This course would be counted towards training in Object-Oriented Java Programming: Data Structures and Beyond Specialization and Object Oriented Programming in Java Specialization.

...Read More
6 Weeks
Intermediate
3,369
Skills Covered:
Knowledge of Data Sorting
Algorithms on Graphs

Offered by

Certificate

Algorithms on Graphs

Algorithms on graphs is a much-used concept in navigation services and has thus found supreme applicability in the current scenario. Whether it be road networks, social networks or computer networks, this domain offers a lot of scope for learning, especially for engineers. To think of the fastest time to commute, people often resort to a connected set of computers which are strewn through an efficient algorithm or a dense network. This also helps in detecting communities and leaders on Facebook.

Algorithms on Graphs course is one another valuable offering by Coursera which delves deep into the insights of graphs and its varied properties. Candidates will learn traversing graphs and orderly traversing of the same to perform meaningful tasks. Discussion on shortest paths algorithms from basic level used to open doors till faster ones used in Google Maps will be conducted. Pursuing this course will also help candidates in pursuing Fast Shortest Routes industrial capstone projects if they wish to.

This course concludes with minimum spanning trees utilised in road planning and telephone and computer networks.

...Read More
6 Weeks
Intermediate
13,514
Skills Covered:
Knowledge of Algorithms
C for Everyone Programming Fundamentals

Offered by

Certificate

C for everyone: programming fundamentals

The C for Everyone: Programming Fundamentals course is a beginner-level programme to help you get started with the C language for programming. The course curriculum consists of the fundamentals of C and has been built for everyone, absolute beginners in programming or coding. It will give a head-start to interested learners who want to establish a firm foundation to learn the C language and then progress to the advanced courses.

The C for Everyone: Programming Fundamentals training has been created in collaboration with the University of California, Santa Cruz. The curriculum includes learnings such as the history, data types, lexical elements, simple functions, control flow, recursion, and advanced functions of C. These concepts will provide an in-depth understanding of the fundamentals of C that help it to operate.

Moreover, the C for Everyone: Programming Fundamentals course by Coursera can be joined for free and features flexible deadlines and pre-recorded videos to help you learn at your own pace. The course curriculum is available in English, but subtitles are available in multiple languages. Upon satisfactory completion, you will receive the course certificate.

...Read More
6 Weeks
Beginner
3,369
Skills Covered:
Programming skills
Building AI Powered Chatbots without Programming

Offered by

Certificate

Building AI Powered Chatbots without Programming

Building AI-Powered Chatbots without programming certification course is offered by IBM and is conducted by Coursera. The programme attracts a vast number of candidates that want to learn to develop Chatbots without any need for coding for it. 

With a rise in the demand for Chatbot, this Coursera programme is ideally a programme that should not be missed by professionals who are aiming to build a career in this field. The programme is flexible in nature so that it can be easily pursued by professionals. Moreover, the course gives a certificate of completion, if the candidate fulfills all the key requirements of the Building AI-Powered Chatbots Without Programming training programme. The course can be of tremendous help in finding job opportunities in top companies across the globe.

The programme will be delivered via videos, pre-recorded content, and practice exercises which will help the candidate in gaining both theoretical as well as practical information on the subject. 

...Read More
6 Weeks
Beginner
3,369
Skills Covered:
Computer skills

Offered by

Swiss Federal Institute of Technology Lausanne via Coursera
Certificate

Functional Programming Principles in Scala

Coursera offers the Functional Programming Principles in Scala online course in association with EPFL (École Polytechnique Fédérale de Lausanne) which is a renowned research university in Lausanne, Switzerland. The instructor for this course is Professor Martin Odersky, who has devoted most of his career to programming languages. Learn from Prof. Martin and get the best educational experience in the field of functional programming.

The Functional Programming Principles in Scala course has modules spread out over 6 weeks; the course can be completed in approximately 45 hours. Discover the components of functional programming style with this comprehensive curriculum and apply them practically. 

Besides, the Functional Programming Principles in Scala certification course also promotes interaction and improvement of one’s core abilities in a fun and relaxed way. Enjoy intermittent programming assignments to get a grip on the practical aspect of the course. Coursera will award you a certificate upon successful completion of this course, allowing you to share your skills and specialization.

...Read More
6 Weeks
Intermediate
3,369
Skills Covered:
Programming skills

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