Online Programming And Development Courses & Certifications

The Advanced R Programming certification course is the second one in the ‘Mastering Software Development in R Specialization’ series offered by Coursera. The course curriculum explores the advanced topics such as functional programming in R, object-oriented programming, robust error handling, profiling and benchmarking, debugging, as well as the proper design of functions.

The Coursera Advanced R Programming online course, offered in collaboration with Johns Hopkins University, aims to prepare students for unique data challenges and to identify everyday data analysis tasks. They will also learn how to define new data types in R, create functionalities specific to these for enabling cleaner execution of tasks related to data science, and stronger reusability within a team. All this is taught through pre-recorded videos, readings, graded quizzes, and assignments, for a valuable learning experience.

Furthermore, the Coursera Advanced R Programming online course is designed, keeping in mind the convenience of students. Hence, the modules are self-paced and entirely online to help students learn from the comfort of their own space. Upon satisfactory completion, participants get a \shareable certificate.

The CS50's Introduction to Artificial Intelligence with Python Online Course is an introductory level course that aims at students who are interested in developing knowledge about artificial intelligence or AI. The course will aid students in understanding the concepts of AI and machine learning and their incorporation into Python programming.

The CS50's Introduction to Artificial Intelligence with Python Certification Course offered on the edX platform is taught over a period of 7 weeks in a self-paced manner. The course instructors are David J. Malan and Brian Yu of Harvard University, who will deliver the concepts through online course materials.

The CS50's Introduction to Artificial Intelligence with Python Training Course will acquaint students with the theoretical framework of artificial intelligence and machine learning with the help of practical demonstrations and projects. Students who complete the course successfully will receive a certificate of completion if they enrol by paying the course fee. They can also pursue it for free and access it for a limited duration. 

The "Practical SAS Programming and Certification Review" programme by Coursera is offered by SAS. The programme is ideally pursued after the candidates have completed two SAS programming courses prior to enrolling in this programme. By pursuing the previous programmes, the candidates will get an edge and insight into how to solve problems in a real-world or a present business environment. The candidates are imparted skills and abilities to help them pursue SAS Certified Specialist Base Programming Using SAS 9.4 exam. Candidates during their programme tenure will get a comprehensive understanding and knowledge around different areas namely, SAS Programming, TSA Claims Data and many others. The course is spanned across a time duration of 20 hours which will be imparted via different modes of learning such as videos, audio, recordings, pre-recorded content, practice exercises and many others. 

The Parallel Programming in Java online course by Coursera is the first of the three-course Specialization in the Parallel, Concurrent, and Distributed Programming in Java. The certification course takes approximately 19 hours for completion and is an intermediate-level course in terms of difficulty.

Moreover, the Parallel Programming in Java certification course is offered by Rice University, which is one of the top 20 universities in the United States and holds a global ranking among the top 100 universities. The instructor for this course is Professor Vivek Sarkar, who has worked on multiple projects on parallel programming, making him an expert on the subject.

The Parallel Programming in Java online course is an excellent introduction to parallel programming and java concurrency. The certification course comprises exciting and informative lectures, helpful summaries, fun quizzes, active discussion boards, and graded assignments. Coursera also gives you a certificate upon successful completion of the course.

The Distributed Programming in Java programme by Coursera introduces you to the fundamental concepts of Distributed Programming in Java 8. The course will equip learners with practical skills of using popular distributed programming frameworks in Java programming. These include Sockets, Hadoop, Spark, Multicast Sockets, Kafka, RMI and MPI. Besides, you will learn different approaches on how to combine distribution with multithreading.

Rice University offers the Distributed Programming in Java course. It is taught by a top instructor of Coursera and is the third part of a three-part programme, “Parallel, Concurrent and Distributed Programming in Java Specialisation”. It is a 100 percent online course with plenty of video-lectures that are delivered in English. It has seven modules and can be completed in approximately 18 hours. Further, there are assignments and quizzes at the end of every module of the curriculum.

Moreover, the Coursera Distributed Programming in Java programme offers you the opportunity to earn a shareable course completion certificate.

The Java Class Library training is the last Core Java Specialisation offered jointly by Coursera and Learn Quest. This programme will help you solidify all the skills learnt and help you land a job as a Java Software developer.  After completing this programme, you will be proficient in writing reusable code.

Moreover, you will be able to write type-safe programs using Java Generics. Other skills you will learn include handling runtime errors, working with a collection of objects, working with files, and using Java frameworks such as Jakarta EE and Spring Boot. The Java Class Library by Coursera also includes lab assignments to nurture practical understanding.

The Java Class Library online programme will also cover additional features of the language that enable the essential library areas, library and offer roadmaps to areas for self-exploration. Once the training is done, you will receive a certificate, provided that you have paid for it. The industry-recognised certificate will quickly improve job opportunities.

Fundamentals of Java EE Development is a RedHat-based programme offered on the edX platform to teach the foundation skills in Java application development. The Red Hat JBoss Enterprise Application Platform (JBoss EAP) helps transform simple command lines in the Java language through a hands-on approach. The Fundamentals of Java EE Development certification syllabus has seven chapters taught by Will Dinyes, a North American trainer and Quality Manager of Red Hat. The programme is an intermediate-level, self-paced course provided in the English language. The Fundamentals of Java EE Development certification has a verified pathway with strong foundational coursework to help the participants become strong Java developers. 

The Programming for Everybody (Getting Started with Python) certification course is the perfect head-start to help you get familiarised with computer programming basics using the powerful programming language, Python. The course covers the Python 3 software and the basics of constructing a program from several simple Python instructions. This programme covers the first five chapters of the “Python for Everybody” textbook. After completion, you will be able to undertake advanced programming courses as well. 

The Programming for Everybody (Getting Started with Python) online course has been built in collaboration with the University of Michigan. It consists of pre-recorded course videos, readings, graded assignments, quizzes, practice quizzes, and more. Through these, you will learn the core concepts such as Python programming, its uses, expressions, variables, iterations, loops, and more.

Moreover, the Programming for Everybody (Getting Started with Python) training by Coursera is designed to fit your busy schedule. Hence, there are flexible deadlines, recorded content, and is entirely online. The curriculum content is available in English with subtitles in Chinese (Simplified), Arabic, German, Turkish, Korean, and English. 

The Python Data Structures course by Coursera is the next stage of learning Python, where you will progress from the procedural programming basics to explore Python’s in-built data structures. The included concepts are dictionaries, lists, and tuples. The course curriculum covers the Python 3 software. It will help you gain fluency in these data structures and how they perform highly-complex data analysis. This programme covers chapters Six to Ten of the “Python for Everybody” textbook.

The Python Data Structures training is designed in collaboration with the University of Michigan. The course covers strings, installation, and usage of Python, Files, Dictionaries, Lists, and more. You get pre-recorded course videos, graded quizzes, practice quizzes, assignments, among others, to help you learn the key concepts. 

Furthermore, the Coursera Python Data Structures certification course has free enrolment and financial aids as well. The course has been built to fit your schedule, and hence consists of pre-recorded content, flexible deadlines, and 100 percent online learning. The course content is available in English, with subtitles in Arabic, French, Russian, Spanish, English, and Korean. After satisfactory completion, you will receive the Coursera certificate as well.

Python Data Structures training in detail will further be elaborating the concepts of “Python” by emphasizing the variables like- dictionaries, lists, strings, tuples, and others. This certificate course by edX and the University of Michigan is the second in the series of the most sought python courses.

The session of the Python Data Structures certification course will be dealing with how to store and then present the data after manipulating the data collections when the programme is running. The Python Data Structures certification will be introducing the core data structures present in the programming language of Python. The curriculum covers- built-in data and complex data and files analysis. Python Data Structures online course will teach the students to open and then read files that are stored in the clouds. The techniques to create data lists will also be covered in the certification course. The programme dealing with chapters 6- 10 of the textbook called- “Python for everybody” and will further cover Python 3.

After completing the online certification course on Using Python to interact with the Operating System by Coursera, the students will understand the working principles of python and its working criteria that are involved in the genre of the operating system. The students over the course of time will be practicing Linux commands and their applications in real-world applications. 

The Using Python to interact with the Operating System certification syllabus includes the topics of- Iterating through Files, Reading CSV Files, Writing Files, Working with Files, Reading Files, Directories. Using Python to interact with the Operating System training will allow the students to interact with expert professionals over the digital medium and develop professional-level skills.

Python is a strong open-source language with extensive data analysis and manipulation packages. This Python for Data Analytics online Course covers both projects and concepts of Python like writing python scripts, Data Structures & Types, sequence and file operations, Data Wrangling, Graphs & Plots, Statistical Computation, etc. 

This Python for Data Analytics training will also provide hands-on experience with some of the most essential and commonly used Python programs, such as Numpy, Pandas, Matplotlib, Scipy, Anaconda, and others. Developed specifically in conjunction with academics and AI industry specialists to retool and reskill working professionals in the field of Artificial Intelligence. 

This Python for Data Analytics syllabus includes Live-Interactive Online Lectures, Skilled Faculty-Led Sessions, and Project Based Studying. The program's material and structure were developed in conjunction with industry professionals. Python is the language of choice for Robotics, Artificial Intelligence, and Web Development. Python has been utilized in computer science as well as in highly statistical sectors such as transportation, healthcare, finance, and retail. 

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.

The course on Machine learning using python, are apt for aspirants who want to create a promising career in the field of Machine learning. Aimed to provide insights on the fundamental concepts and techniques of Machine Learning, it is also equipped with the upgraded learning experience song with the usage of Python Language. 

The online course is offered by the National Institute of Electronics & Information Technology (NIELIT) in Haridwar, an educational intuition recognized by the Ministry of Electronics & Information Technology of the Indian government. This short course is packed with informative e-Content and is rewarded with an e-Certificate upon the successful completion of the course to each participant.

The course mainly focuses on the fundamentals in the topic of machine learning such as Data visualization, Data manipulation, Collection, details on Python, Machine learning algorithms, etc. this is also an introductory level course that provides the learners with the required knowledge in Machine learning which could even help them in molding their relevant future skills.

The Data Science with Python Certification programme enables candidates to become skilled data scientists. Hence, the curriculum will teach you all the necessary concepts of Time series, statistics, and ML algorithms such as the unsupervised, supervised, and reinforcement. You will also gain fluency in other ML algorithms like clustering, regression, Random Forest, Decision Trees, Q-Learning, and Naïve Bayes. Moreover, you will experience the industry-relevant practices by solving real-time case studies on aviation, HR, social media, and healthcare.

Edureka’s Data Science with Python Certification Course offers a feature-rich curriculum. You will attend instructor-led live classes, work on frequent assignments, have a lifetime LMS access, and engage in peer interaction via the community forum. Besides, you will also receive lifetime access to the 24x7 support team to resolve technical queries.

Moreover, the online Data Science with Python Certification Course will award you with a prestigious certificate, post-completion. You will also receive a ‘resume-building tool’ to create a professional CV and ace recruitment for top-tier companies like Dell, Honeywell, Cisco, VMware, etc.

The Python with Data Science and Machine Learning certification course will help you master the core concepts of Python's programming language. It will deep dive into how Python can work on various data structures. The course will also teach the candidates how to use data to plot graphs.

The Python with Data Science and Machine Learning certification programme also gives an insight into one of the modern concepts of the digital revolution, Machine Learning. The course will cover the theoretical framework of various machine learning models and how to apply them efficiently and help to learn the core concepts in practice. 

Besides, the Python with Data Science and Machine Learning online programme by NIELIT Chandigarh is perfect to learn about the upcoming industrial trends in Data Science and Machine Learning, which will equip you with the knowledge to get better career opportunities. The course is taught by an experienced faculty and will be an immersive learning experience. 

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.

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.

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.

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.

The Algorithms: Design and Analysis, Part 2 online course by edX, is aimed at learners who have at least some experience in programming. It is a self-paced intermediate-level programme with a rigorous curriculum that focuses more on conceptual understanding and the bigger picture than mathematical details and low-level implementation.

The topics covered under the Algorithms: Design and Analysis, Part 2 certification syllabus include Greedy Algorithms (Clustering, Scheduling, Huffman Codes, Minimum Spanning Trees), Dynamic Programming (Sequence Alignment, Shortest Paths, Optimal Search Trees, Knapsack), NP-Completeness, Local Search, and Analysis of Heuristics.

The Algorithms: Design and Analysis, Part 2 training programme by edX includes various assessments through which learners can practice and master Algorithms. These include six multiple-choice problem sets, six programming assignments, and a final multiple-choice exam. 

Moreover, there is no due date for these assignments, allowing learners to work through the course at their own pace. But to complete the course comfortably within six weeks, they must study two to four hours a week. Edx has 2 tracks namely the verified track and the audit track which allows the students to finish off the course. During the verified track, the candidates will get unlimited but paid access to the course materials. In the audit track, the candidates will be getting limited but free access to the course materials.

Algorithms: Design and Analysis, Part 1 online course will explore the heart of computer science - algorithms. Candidates will learn, practice, and master the fundamentals of algorithms using a combination of video lectures, programming assignments, and multiple-choice quizzes to help them evaluate their progress.

Algorithms: Design and Analysis certification syllabus will provide information on various topics such as sorting and searching, data structures, graph primitives, randomized algorithms, and the 'Big-Oh' notation. This is an intermediate curriculum and requires some experience on the part of candidates in programming languages. These can include C, Java, or Python languages.

Algorithms: Design and Analysis by edX is a six-week, online certification course that features faculty members from Stanford University.  Students will have to devote two to four hours every week to this course and give a multiple-choice final at the end. It is a self-paced course that provides English transcripts of all the lectures for better understanding. Learners can get enrolled in the course for free or by paying a small amount. If they want to learn the course without paying anything they may opt for the audit track where limited access is given. On the other hand, if they want unlimited course access they may opt for admission using the verified track for which they may have to pay a small amount.

Programming for Everybody: Python Data Structures certification is a 6 weeks long course led online by the University of Michigan experts, and FutureLearn for helping learn python from scratch at an advanced level. This course is 100% available in online sessions which are conducted at a time interval of 4 hours every week.

Programming for Everybody: Python Data Structures certification syllabus offers introductory concepts to core data structures that are related to Python Programming language. This course also gives details on how these data sets are used for programming in daily life. This online programme moves ahead of just the basic concepts and advances to the procedural programming 

Programming for Everybody: Python Data Structures training falls under the online category of Information Technology, and the Computer Science course will help to use the Python built-in data structures like lists, tuples, and dictionaries, which will be performing analysis of more intense complex data. 

Also Read: Career as a Computer Programmer

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.

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. 

The course, “Getting Started with Go” is intended for people with previous programming expertise utilising languages such as C, Python, or Java, and covers the elemental components of Go. Topics embody the various types of data, protocols, formats, and writing code that comes with RFCs and JSON. Most significantly, you’ll have an opportunity to follow and try writing Go programs and receive feedback from your peers. Upon finishing this course, you will be able to implement easy Go programs, which can prepare you for the ensuing study at a greater and advanced level.

The programming language Go is an open-source project to assist programmers in being much more productive.

Go is communicative, concise, clean, and economical. Its concurrency mechanisms facilitate the process of jotting down programs that get the maximum out of multicore and networked machines, whereas its novel kind of system allows versatile and standard program construction. Go compiles quickly to machine code, and nevertheless,  has the convenience of waste storage and also the power of run-time reflection. It is a quick, statically written, compiled language that appears to be a dynamically written and understood one.