List of Online Courses and Certifications

The term relational database refers to a particular kind of database that stores and makes available connected data items. On the relational model, an easy-to-understand method of representing data in tables, relational databases are built. Introduction to Relational Databases (RDBMS) certification course is taught by Sandip Saha Joy - Data Scientist, Rav Ahuja - Global Program Director, Lin Joyner - Senior Instructional Designer & Content Developer, and is developed by IBM Skills Network and Rose Malcolm - Senior Instructional Designer & Content Developer, which is delivered by Coursera.

Introduction to Relational Databases (RDBMS) online course focus on assisting individuals in recognising the many database types that are suitable for the particular sorts of data they are working with and the processing requirements as well as providing individuals with a good understanding of how information is stored, analyzed, and retrieved. Introduction to Relational Databases (RDBMS) online classes incorporate 2 weeks of hands-on practical learning materials to help individuals in learning the methodologies for building relational data models and the approaches to use them with their data.

The term ETL describes a set of procedures used to extract data from one system, change it, and load it into a target network. A more general name for any group of operations that transfer data from one system to another, possibly transforming it along the way, is a data pipeline. ETL and Data Pipelines with Shell, Airflow, and Kafka certification course is developed by IBM Skills Network and taught by Yan Luo - Ph.D., Data Scientist & Developer, Jeff Grossman - Certified Instructor, Sabrina Spillner - Senior Instructional Designer & Content Developer, and Ramesh Sannareddy - Data Engineering Expert, which is made available by Coursera. 

ETL and Data Pipelines with Shell, Airflow, and Kafka online training is designed to help the students gain an understanding of the two different approaches to converting raw data into analytics-ready data including the ETL process and ELT process. ETL and Data Pipelines with Shell, Airflow, and Kafka online course explains the differences between ELT and ETL processing, identifies instances for each, and goes over the procedures and tools needed for extracting data, combining it logically or physically, and importing it into data sources.

The discipline of system validation addresses the principles of information processing and system communication. It enables automated analysis based on behavioural system models to determine whether a system is functioning properly. The methods proposed for system validation enable demonstrating the absence of mistakes. Coursera is offering the System Validation (3): Requirements by Modal Formulas certification course, which was developed by EIT Digital and taught by Jan Friso Groote, a Certified Professor.

System Validation (3): Requirements by modal formulas online course is intended for applicants who wish to learn how to create simple and effective embedded systems while also designing them to be fully functional. System Validation (3): Requirements by modal formulas online classes are intended to teach the applicants how to express requirements for automata to build the proper relationship between the demands and the behaviour of the system.

The discipline of system validation addresses the principles of information processing and system interaction, which enables automated analysis related to behavioural information systems to determine whether a system is functioning properly. Demonstrating the absence of mistakes using system validation approaches makes it possible to create embedded systems. System Validation (4): Modelling Software, Protocols, and other behaviour online certification is developed by EIT Digital and taught by Jan Friso Groote - a certified professor, which is offered by Coursera.

System Validation (4): Modelling Software, Protocols, and other behavior online course offers 3 hours of self-paced study materials that highlight the effectiveness of formal approaches in protocols and software modelling. System Validation (4): Modelling Software, Protocols, and other behaviour online classes include topics like MOOC modelling, linearization, process equations, parameterised boolean equation system, compositional design, state-space explosion, as well as discussions about various protocols like bit protocol, sliding window protocol and more.

“Everyday Excel, Part 2” is the second part of the famous “Everyday Excel” training programme. Intensifying on the theories studied in the first course the learners will carry on expanding their knowledge in the uses of Excel. Although this training program is intended for intermediate users, advanced users too will benefit from it, in learning new tools and skills in Excel. After finishing this course, the candidates will possess enough skills to take up part 3 of the series Everyday Excel, which is project-based.

This specialisation series, which is divided into three parts aims to teach the candidates basic as well as advanced tools in Excel.  This curriculum is intended to be intriguing and enjoyable. It aims to encompass a wide range of learners so that a variety of experiences and abilities come together to teach something new to everyone.

A distinctive characteristic of this course is the compulsion to complete weekly assignments in the application itself, i.e. in Excel, which will push students into hands-on learning.

Git is the most popular open-source distributed version control system. Git is a content tracker that keeps track of the progress that individuals make to files because they have documentation of what has been accomplished and can go back to particular versions if necessary. The Linux Foundation developed the Using Git for Distributed Development online certification, which is offered by Coursera and is instructed by Jerry Cooperstein, Director of Training.

 Using Git for Distributed Development online training is intended for developers who are dispersed throughout the world and working on challenging projects while coordinating their work rationally and monitoring their distributed systems. Using Git for Distributed Development online classes offer the chance to help applicants utilize git effectively and contribute in a short period as well as to explain the git workflows, spot issues with their workflows, and find solutions to those issues.

Java is a popular programming language that offers a lot of opportunities to aspiring coders wanting to build a career for themselves. This course by Coursera brought in association with Duke University, is exactly what one needs.

Java Programming: Solving Problems with Software is although a single course but can be applied to use for Certificate Programs or Specialisation courses all the same because of its diverse syllabus on a beginner level. The candidates will learn a lot from the contents of the course like developing and debugging programs and designing algorithms.

It teaches problem-solving techniques that come in very handy in jobs thus providing essential industry-relevant skills and preparing candidates to become the best in their leagues. As the world etches closer to a highly digitized reality being in the coding business will profit the candidates largely, and this course is the way to it.

The course- Concurrent Programming in Java is the part of the Concurrent, Parallel, and Distributed Programming in Java Specialization. The course is offered by Rice University which is ranked among top 100 universities across the world and top 20 universities in the United States of America. The course is for students and professionals who intend an in-depth study of programming in Java.

The programme teaches all the fundamental concepts of concurrent programming in Java 8. The knowledge of concurrent programming assists developers to mediate the parallel programs using shared resources more efficiently. Towards the end of the course, the participants will use basic concurrency constructs like locks, threads, atomic variables, actors, isolation critical sections, concurrent collections, critical sections. Also, the theoretical foundation concepts like deadlock, progress guarantees, linearizability, and starvation will be taught in the course. The knowledge of theoretical foundations of concurrency will empower the participant to be meticulous and avoid subtle and common errors in programming.

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.

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. 

The Introduction to Interactive Programming in Python course is offered by Coursera to give a better understanding of programming with the Python platform and their relative benefits with better development of programs in inbuilt devices and mobile platforms. The platform of python is robust, simple, and responsive inbuilt data in some type of functions. The programme invites every aspirant to get brighter career opportunities using python programming.

Programming with Python is in-demand nowadays due to its inbuilt environment and responsive platform. Programming with python is secured, robust, and simple. Therefore the programming has many built applications that are running in every operating system vigorously. The programming experience with python has many added advantages like data integrity, prevention of data redundancy, and authorization as well. So organizations are looking forward to making python more advanceable with the present technological advancement.

The course is offered by Coursera-an online digital learning platform with certification and many more learning benefits. The learning experience with Coursera made many learners get skilled and self-learning with flexible options. The opportunities with Coursera learnings have increased drastically within the very short course time. Therefore learning this from Coursera can be helpful in increasing career opportunities.

The Embedded UVM open source Emulation & Functional Verification course by NIT Patna is being imparted by the Electronics and ICT academy as a part of the Joint Online Faculty Development Programme. 

National Institute of Technology Patna offers courses in Architecture, Civil Engineering, Computer Science & Engg., Electronics & Communication Engg., Electrical Engg., and Mechanical Engg. It also includes well-established departments for Physics, Mathematics, Chemistry, Humanities and Social Sciences.

This course has been structured to give the learners an introduction of the universal verification methodologies. They will learn about the diverse aspects of UVM open-source Emulation & Functional Verification. 

They will be given knowledge about the event simulation technology, working of the simulation tools, bus functional models, different concepts of object-oriented programming, phasing and objection mechanisms of universal verification methodology and the concepts of SoC Verification. This course aims to develop the faculty/mentor and to increase the employability of the graduates, diploma holders in this stream of the industry.

Big Data Foundation Course online certification is created by Board Infinity, an online educational infrastructure targeting job applicants and learners that will enable them to grow and succeed by allowing people to function effectively. Big Data Foundation Course online classes by Board Infinity are for learners who are seeking a comprehensive training initiative to enhance their knowledge and skills in big data so that they can become skilled big data specialists from the ground up.

The Big Data Foundation Course syllabus features more than 14 hours of prerecorded video lessons that aim to help learners comprehend market dynamics, uncertain relations, and client preferences, and discover trends that enable companies to make data-driven decisions. Learners will also learn how to use tools like Hadoop, Hive, Apache Spark, MySQL, Apache Pig, PySaprk, Sqoop, MapReduce, and others to methodically extract information and analyze data sets that are too huge and complex.

A geographic information system is one that creates, manages, analyses, and maps all types of data. It connects data to the map and integrates the location with all types of descriptive information. GIS mapping is the process of inputting the data layers into the GIS System to generate a map. The course Introduction to GIS Mapping is designed by the experts for providing the foundational knowledge of GIS mapping to the interested learners. 

Introduction to GIS Mapping training is an initiative of the Coursera and the University of Toronto to provide in-depth knowledge of GIS Mapping. This is the online, self-paced course available on the Coursera platform. The course shall train students in GIS, Mapping, and Spatial Analysis. The candidates will learn about the process of getting started with the software of GIS, recording the locations using coordinates, and making the two-dimensional and three-dimensional earth. This is the first of the four courses provided by the Coursera on GIS Mapping. The candidates will also receive Introduction to GIS Mapping certification by the Coursera by the end of the course. 

Also, read

• Basics of Remote Sensing, GIS & GNSS Technology and Their Applications
• An Introduction to GIS and QGIS 3

The Interprofessional Healthcare Informatics certification course is a course designed in joint association between the University of Minnesota, and Coursera. Basically this programme is like a graduate level course. This programme shall be incorporating al the educational innovations that are enabled by educational innovations so athta the subject matter can be brought back to life

The Interprofessional Healthcare Informatics training considers teaching related to some topics like emerging technologies, gaming, telehealth, eScience, and much more. The entire programme will actually focus on emerging technologies like gaming, simulations, telehealth, etc. The course is an individual one which is not under any course specialization. 

Blockchain for the decision-maker certification course is designed by EIT Digital and the Budapest University of Technology and Economics which is taught by Enrique Barra - Ph.D. and Asja  Kamenica - Head of EIT Digital Professional School, which is delivered by Coursera and is aimed at participants who want to master the functionalities and strategies associated with blockchain to make better decisions. Blockchain for the Decision Maker online course explains the features that the blockchain offers, including distributed ledger principles.

Blockchain for the decision-maker online classes provides comprehensive digital content that takes about an hour of effort and instructs participants on the hyper ledger ecosystem, ledger technology, process-driven transition, and blockchain integration. This course also clarifies the difference between open networks and private networks built specifically for particular business needs. Participants will also receive a shareable certificate after completing the course, validating their understanding of the methods for using blockchain to make decisions.

Machine Learning Certification Course online training is designed by Board Infinity, a virtual learning environment for trainees that would aid them in obtaining excellence and fulfilling their professional goals. Machine Learning Certification Course online training by Board Infinity is for participants who desire to acquire the scientific study of algorithms and statistical models that machine learning utilizes to become professional machine learning engineers.

Machine Learning Certification Course online classes cover a wide range of machine learning topics, including natural language processing, deep learning, supervised and unsupervised learning, artificial neural networks, probability, and statistics, convolutional neural networks, and include comprehensive learning, as well as case studies and projects. This course also includes sections on Python, pandas, OpenCV, Numpy, Anaconda, ANOVA, Matplotlib, Seaborn, and other programming languages.

The lot market is the main connection between machines and equipment in a factory of the digital world also called the cloud. IoT helps one to analyse, collect more data, and help make better decisions in the end. Today’s manufacturers know it is important to bring IT closer to operational technologies that control all their machines and equipment. The term industry 4.0 has now set manufacturing standards for all the manufacturers for creating smart factories where no much labor force is required just by using industrial loT.

But with the advancement of technology, there are a few dark sides of the advancements that everyone has to keep in mind and take care of, it is the security of all the systems that are used. Security is extremely necessary for the manufacturers from harmful viruses and other things that intend to harm their system and the data that is stored. This can lead to a huge loss to the manufacturers.

This course will help build employees of the future who will have the required skills and knowledge about the security problem and the Industrial lot markets. Help them to build a bright future ahead.

Python for Data Science Bootcamp certification course is created by Board Infinity, an online educational network aimed at working professionals and participants that would help them grow and thrive by enabling them to function efficiently. The Python for Data Science Bootcamp online course by Board Infinity is for participants who want to learn the fundamentals of Python programming for data science to become certified data scientists.

Python for Data Science Bootcamp online classes is a self-paced training program that includes case studies, assignments, and projects to help participants gain a thorough understanding of technologies such as Anaconda, Numpy, Pandas, Jupyter, Matplotlib, and Seaborn, as well as Python concepts such as arrays, lists, and data frames. Participants will be able to develop their Python scripts to undertake basic data analysis in a Jupyter-based simulated environment by the end of this training program.

The ‘Clinical Natural Language Processing’ online course is focused on delivering students insights on the strategies and tools involved in the processing of texts and collecting information from clinical data. This data analysis course is part of the clinical data science specialization and is provided by Coursera in association with the University of Colorado. The students of this course can explore the text data in R and can gain knowledge of the practical applications of finding out any diabetic issues from the clinical data. 

The course can be completed within an estimated period of one week in about three weeks and the students can study at their own pace. The instructor for this intermediate-level program is Laura K. Wiley, an Assistant Professor from the Division of Biomedical Informatics and Personalized Medicine at the Anschutz Medical Campus. 

The ‘Clinical Natural Language Processing’ online training program ensures students with an industrially significant course certificate that can be shared online for the development of their career.

The University of Edinburgh and University ORT Uruguay provide the Code Yourself! An Introduction to Programming programme in conjunction with Coursera. Global leaders in online learning, these institutes offer the beginner-level course to individuals getting started with programming. Candidates enjoy a comfortable and comprehensive curriculum throughout the certification course.

Moreover, the modules of the Code Yourself! An Introduction to Programming online course is spread across five weeks, which candidates can finish in approximately twelve hours. You can also practice your concepts straightway on Scratch and make the most of the certification course. Besides, the instructors for the course are Dr. Areti Manataki (Teaching and Research Fellow at The University of Edinburgh) and Ines Friss de Kerreki (PhD at University ORT Uruguay).

The Code Yourself! An Introduction to Programming course is perfect for coders who are just starting since the certification course comprises understandable and accessible lectures with exciting assignments. Upon successful course completion, you will also receive a course completion certificate. 

R programming is an extensively employed data science language of programming that is heavily used in the business, making this one of the most important skills to acquire in the data science industry. R Programming Course for Data Science online certification is designed by Board Infinity, an online learning environment for professionals that would help them achieve their professional goals by assisting them in achieving excellence.

R Programming Course for Data Science online classes features video-based learning material along with assignments and projects to assist candidates to acquire a hands-on comprehension of the tools and concepts like data analysis, time series analysis, text analysis, string manipulation, natural language processing, R studio, statistics, and more. By the end of the R Programming Course for Data Science online training, candidates will have developed their knowledge to develop programs in R programming and perform basic data analysis tasks.

Web scraping, also known as web data extraction, is the procedure of gathering structured web data in an automated manner. Price tracking, news monitoring, lead creation, price intelligence, and market research are just a few of the many applications of web scraping. Web Scraping for beginners certification course is developed by Board Infinity, a digital learning platform for job applicants and learners to help them develop and grow in their professions.

Web Scraping for beginners' online course focuses on teaching the skills utilized to scrape data and extract particular information from the websites. Web scraping for beginners online classes include prerecorded video lessons aimed at providing an overview of both theoretical and practical aspects of web spraying to assist learners to grasp the fundamentals of web scraping and web crawling.

Angular JS online certification is developed by Board Infinity, a learning system aimed at assisting individuals in achieving excellence and achieving their professional objectives. The Angular JS online course by Board Infinity is for individuals who want to learn how to utilize the core principles of Angular JS for a range of front-end development tasks.

 Angular JS online classes cover topics such as Javascript, AJAX, REST API, full-stack development, routing, navigation, and dependency injection thorough live video-based lessons backed by various case studies and assignments. Individuals will also learn how to use Angular directives, forms, and services, as well as how to enable and build the service components. Individuals will be able to use the key functionalities of Angular JS for a variety of full-stack apps, including single-page web applications, by the end of this course.

Coursera is offering a programme namely Using Databases with Python with collaboration with the University of Michigan. The course can be enrolled for free and has a future for databases with Python. Therefore, candidates enrolling in this programme can prosper their career in this field with enhancement to the modern world and technology. With a large amount of data to store in a secured manner, this programme comes as a rescue to help professionals and students as well. 

With a large number of technical enhancements in the engaging world, everyone is looking for storing data that is too secure so that the data can be only accessed by certain members. Data stored in the database can be accessed by only a particular language called SQL (Structured query language) with that type of query language the data in the database will be accessed by particular authorization only. 

The course is offered by Coursera for free so that course materials and assignments can be accessed free of cost. Coursera strives to give the student the best type of learning experience so that they can increase their growth career in their desired field.

Deep learning, also known as deep neural learning or deep neural network, is an artificial intelligence functionality that resembles the functioning of the human brain in digesting data and developing correlations used in decision making. Deep Learning and Computer Vision online certification is designed by Board Infinity, an online educational platform for job applicants and learners that will assist them in realizing their full potential to achieve their career goals. 

Deep Learning and Computer Vision online course focuses on providing a hands-on experience of the core concepts and principles associated with deep learning and computer vision. Deep Learning and Computer Vision online classes include a variety of data science topics, including natural language processing and neural networks, such as convolutional and recurrent neural networks. Candidates will have developed competencies in technologies such as OpenCV, Jupyter, Tensorflow, Python, Numpy, and others by the end of this course.

Fundamentals of Deep Learning certification course is created by Board Infinity, a learning system that aims to help individuals achieve excellence and achieve their professional goals. The Fundamentals of Deep Learning online classes by Board Infinity are for students who are looking for a thorough training program that will help them develop a solid understanding of the principles and practices of deep learning.

Fundamentals of Deep Learning online course is a self-paced learning program that includes more than 6 hours of detailed video lectures, as well as numerous projects, case studies, and assignments to give students a well-rounded learning experience. This course starts with a basic introduction to machine learning and then moves on to more advanced subjects like neural networks. Students will have a thorough grasp of how to use Python, Pandas, NumPy, Tensorflow, and Anaconda for a variety of deep learning tasks by the end of this training course.

Big Data and Hadoop & Spark certification course is created by Board Infinity, an online educational platform aimed at job seekers and students that will help them set realistic goals by allowing them to reach their full potential. The Big Data and Hadoop & Spark online course aims to teach individuals how to use technologies like Hadoop and Apache Spark to methodically collect data and analyze data sets that are too complicated.

Big Data and Hadoop & Spark online classes comprise more than live video-based classes along with case studies and assignments. This course covers Hadoop, Spark, Hive, PySpark, NoSQL, HDFS, and YARN, as well as other big data and big data analytics technologies. Individuals will receive a certificate from Board Infinity upon successful completion of this course, demonstrating their understanding of big data analytics topics.

Java is one of the well-known programming languages in the world, both in terms of developing applications and software, as well as web pages and websites. To create programming solutions of the codings, candidates need an absolute grip over the concepts of Java Interface, through excellent course materials and real world projects.

Java Programming: Principles of Software Designing by Coursera brings all these features to the candidates and more. It not only teaches the candidates the know-how of developing software but also what it actually takes to build an impressive one, that is, logical and creative thinking and design.

There is more to Java than learning and implementing the codes but there are only a handful of cyber enthusiasts in the cyber world who can comprehend that while also making the most benefits from it. This course offers exactly that to the candidates in the form of a hidden gem for Java Programmers.

The Introduction to R Programming for Data Science online certification was developed by IBM Skills Network and instructed by Yan Luo, Ph.D., Data Scientist, and Developer and is made available through Coursera and is targeted at individuals who are interested in learning the fundamental ideas behind data science and data analysis operations using the features of R programming. The Introduction to R Programming for Data Science online course teaches individuals about the fundamentals of the R language, including data types, data manipulation methods, and how to carry out basic programming operations.

Introduction to R Programming for Data Science online classes contains 10 hours of video-based study materials that introduce individuals to basic programming concepts, standard data structures, and data manipulation techniques, all with the assistance of the R programming language. Individuals who successfully finish this program will be able to develop a basic program in RStudio, work with data in a data frame or matrix, and complete the final project as professional data analysts utilizing Watson Studio and Jupyter notebooks to gather and evaluate data-driven insights.