List of Online Courses and Certifications

The Cloud computing infrastructure certification course by edX is part of the program from UMGC. Cloud computing infrastructure training helps the candidates learn better about the technologies behind the cloud infrastructure, both public as well as private. In the training different components such as compute, storage, networks have been well covered by the team of experts.

The Cloud computing infrastructure training comprises assignments, projects, quizzes and tasks. The will also cover one of the most popular cloud architectures used in cloud computing. In-depth knowledge of different issues will be covered and cleared out to the candidates. Cloud service models have also been involved to help the candidates get a much clearer picture of the topic.

After the candidate successfully registers themselves and completes the Cloud computing infrastructure online programme, they shall be given a certification. The candidates can use this in the later stage to get promotion in their career life, salary hikes or be tutors for the following course. 

The programme has two tracks: audit and verified, which may be chosen by a candidate. Both the tracks have an Instructor-led mode but the audit track offers no certification and allows limited-time access to the course materials free of cost. The verified track offers unlimited chances to view and learn the course thereby offering a certification only if the candidates are interested in paying some money.

The method and ways of protecting the critical data in a cloud technology to build a strong and powerful system environment will be covered. The Cloud Computing Security online course will be introducing the students to the practices that revolve around cloud security in the environment. The government documents will be provided to the students as a part of their case study work. They will be reviewing the documents and framing the solutions according to their observations and will also frame their own cloud computing solutions. 

The Cloud Computing Security training is a part of the extensive “Cloud Computing Micro Master’s programme from UMGC”. The training will be helping the candidates to learn about the security tools and help detect any possible security breaches. The Cloud Computing Security certification course will be conducted by the instructors and will be focusing on “Computer Science” as a domain. Also, for better learning the students will be given transcripted video lectures.

Swayam offers the Cloud Computing and Distributed Systems training programme under the guidance of NPTEL and a well-structured course from IIT Patna. The course will span over eight weeks. Prof Rajiv Misra from IIT Patna leads the online course. 

The Cloud Computing and Distributed Systems online course explore the delivery of storage, applications, computations, and more IT resources. This is achieved using the platform with the business model of the pay-as-you-go. The course provides in-depth information about current cloud computing technologies. Candidates will understand the concepts of distributed computing and distributed algorithms with this Swayam’s cloud computing course.

After discussing these techniques and concepts, the course will introduce features of industry systems like Google’s Chubby, Apache Spark, MapReduce, and many more. The Cloud Computing and Distributed Systems certification syllabus requires candidates to understand data structure and algorithms. The curriculum is highly comprehensive and consists of eight modules and various reference books. 

Data Science: Linear Regression online course offered by edX is an opportunity for the candidates to get insights about data science and linear regression. It covers implementation of linear regression and adjusting for confounding in practical work while using R. 

The Data Science: Linear Regression certification programme at a stretch of 8 weeks, gives its candidates exhaustive knowledge about linear regression and its applicability. The video-based, self-paced learning course is offered by Harvard University. The course is an ideal opportunity for the candidates to learn the subject through data-driven case studies for a better understanding of the subject. 

The Data Science: Linear Regression classes programme is free to access for everyone. However, to get the verified certificate, the candidate must need to upgrade to the verified track. During the audit track, the candidates will be able to access the course for free but that too only for a limited period. The Data Science: Linear Regression training is instructed by Rafael Irizarry, the professor of Biostatistics, at Harvard University, to make the candidates professionally skilled and enabled for a promising future ahead.

The Data Science: Productivity Tools certification course will be helping the students to organise and keep their projects and assignments in a structured way and reproduce the files and reports using tools namely- git, GitHub, RStudio and Unix/Linux. The Data Science: Productivity Tools online programme will be teaching the participants the different techniques to use the Linux and Unix tools for managing the data files and the directories that are present in the computer. Candidates will further be introduced and taught the importance of system git which is a powerful tool that will help to keep track in case there is some change in the tracks of the reports and files. 

The Data Science: Productivity Tools by edX will further help the applicants learn the basic functions while making a report in R functions and the ways to incorporate the provided code into the document. The eight-week Data Science: Productivity Tools certification programme will involve multiple projects and parts comprising- different scripts and data files. The course offers 2 tracks of study that can be chosen by the candidates - one is the audit and the other is the verified track. In these 2 tracks, the candidates can study in a self-paced mode. Though the course can be learnt by self, the candidates will have limited access to materials during the audit mode, and unlimited access during the verified track.

In the Data Science: Wrangling course by edX a piece of our Professional Certificate Program in Data Science, we cover a few standard strides of the information fighting cycle like bringing information into R, cleaning information, string handling, HTML parsing, working with dates and times, and text mining. 

Data Science: Wrangling certification is offered by the platform of edX in association with Harvard University. Professor Rafael Irizarry aims to provide the candidates with the skills and insights about Data Science and subjects associated through videos and discussion forums.

The candidates are provided with the online Data Science: Wrangling certificate with the signatures of the instructors on it. Data Science: Wrangling classes being a self-paced course offers flexibility to its candidates to learn at their own pace and comfort. Among the two tracks, the candidates will be able to choose either the verified track or the audit track. In the audit track, the candidates will be able to learn and complete the course within a limited period. Again, on the other hand, the students will be learning the course for an unlimited period.

The candidates can also opt for an associate programme on Data Science offered by edX again for a better understanding and in-depth knowledge about the subject along with Data Science: Wrangling training. 

The Principles, Statistical and Computational Tools for Reproducible Data Science course has been meticulously created keeping in mind the wide usage and huge importance of reproducible research across various disciplines. The Principles, Statistical and Computational Tools for Reproducible Data Science certification thoroughly covers all the fundamentals of reproducible science in a very lucid manner and adds on to various useful computational tools, thus appealing to a very wider audience in various fields like data science, bioinformatics, biostatistics, computational biology etc. 

The 8-week self-paced Principles, Statistical and Computational Tools for Reproducible Data Science classes are the perfect blend of video lectures, case-based studies and computational tools and can act as an asset to the knowledge of reproducible science of the candidates. Various intricate nuances such as data provenance have also been thoroughly explained in the course material. The best practices prevalent in pattern designing are also shared with the candidates. The Principles, Statistical, and Computational Tools for Reproducible Data Science online course encourages the candidates for peer-to-peer engagement for a great network and also acts as a place for intellectual and intense discussions on the topic.

There are two pathways in which enrolling in this course of edX is possible. One is the verified track, and the other is the audit mode. During the audit mode, the candidates shall have limited time access to the course, but access becomes unlimited during the verified track.

The participants can register and learn the difficult concepts and topics in the theory of probability. The basics of probability have been well cleared by experts at every point in the Data Science: Probability online course.

The Data Science: Probability certification syllabus comprises assignments, exams, and projects at the end of every concept. Different important concepts such as variables, and standard errors have been well taught in Data Science: Probability training. To understand the foundation, the basic terms will be cleared in the initial phase followed by the complexity in the next level.

At the end of the Data Science: Probability programme, the candidates will get certificates that help them stay motivated. The candidates can share it or add it to their resume. Adding it to the resume or CV helps them get better jobs or hike in the salary. The process of learning in the Data Science: Probability online certification is so clear that the candidates will have a firm understanding of the topic. There are 2 pathways to enroll in the course, one is the verified track, and the other is the audit mode. During the audit mode, the candidates shall have limited time access to the course, but access becomes unlimited during the verified track.

Data science is the study of using machine learning techniques and statistics to analyse raw data and find patterns and information. Several industries use it to make better business decisions, and researchers employ it to test out models or theories. The Data Science for Engineers programme will explore two main concepts, Big data and Data Science. 

Data Science for Engineers certification syllabus has been designed in association with NPTEL and IIT Madras. Professors Raghunathan Rangasamy and Shankar Narasimhan will teach the course, which aims to introduce participants to programming language R, familiarise them with mathematical foundations for data science, study data science algorithms, and provide practical knowledge using case studies. 

Data Science for Engineers training is an eight-week online course with the option to obtain certification. Candidates will have to submit periodic assignments and appear for an end-of-term offline exam to qualify for certification. Furthermore, organisations like Honeywell, Gyan Data Pvt. Ltd., Ford, and ABB, recognise this programme, and thus, learners can seek job profiles in similar industries. 

The Data Science in Healthcare (Online Certificate Program) course is an online learning programme designed for technical professionals. The course stresses the importance of analytical skills in the healthcare industry. Since the volume of data generated by medical centres, hospitals, medical staff, and systems is increasing, there is an urgent need for expertly trained analysts.

Therefore, the Data Science in Healthcare online programme is a highly relevant course. You will learn the analytical skills required in the wellness industry for patients and providers. In fact, data skills are vital for all analysts on the healthcare spectrum. You will learn how to operationalise systems to interpret, measure, collect, aggregate, and share the data required by a healthcare company and its partners. 

Furthermore, the Data Science in Healthcare training includes video lectures, knowledge checks, learning facilitators, and weekly Q&A sessions to make the course more engaging for learners. Plus, you will earn a digital certificate upon completing the course from Dartmouth QBS. 

Managing cybersecurity is all about managing risk, specifically the risk to an organization’s invaluable information assets. The GRC Approach to Managing Cybersecurity course examines the importance of governance, risk management, and compliance or GRC in the overall cybersecurity management process. The role of GRC in critical functions of policies, planning, and the administration of technologies for giving support to the protection of critical information assets, is also discussed.

The GRC Approach to Managing Cybersecurity training course is part of the Managing Cybersecurity Specialisation programme, offered by the University System of Georgia. It is the second in a series of five courses. The medium of instruction for the pre-recorded video lectures is English, and each video is around fifteen minutes long.

At the end of each module of the Coursera GRC Approach to Managing Cybersecurity programme, there are suggested reading materials and practise assignments. After the completion of the course, candidates can purchase a shareable electronic certificate from Coursera which they can add to the Certifications section present on their LinkedIn profiles.

The Cyber Security Risk Management online course which is provided by edX imparts skills and wisdom to all the learners in the concepts like qualitative risk assessment, framework, case studies, automatic metric calculations, risk mitigation, risk assessment, quantitative risk assessment, risk analysis, analysis techniques, tools, life cycle, information security metrics, and risk management methodologies.

This Cyber security Risk Management certification programme helps the candidate to understand the evolution of information security. The participant will explore big data, artificial intelligence and information security through this course. Various industry-related case studies are also discussed in this programme. The principles and frameworks of cyber security are also taught through this online course.

The Cyber Security Risk Management classes course by edX certification adds value to the curriculum vitae and resume of the learner. The certificate can also be posted to the LinkedIn profile of the candidate. Certificates are provided to all successful participants of the verified programme. The certificate has the logo of the institution and the signature of the instructor. 

This particular course on edX has 2 tracks namely audit and verified which may be opted by a candidate for enrolling. Both the tracks have a self-paced mode but the audit track offers no certification thereby allowing only limited access to the course materials without any cost. The verified track offers unlimited access to the programme thereby offering a certification provided the candidates are interested in paying some money.

Cybersecurity Capstone certification course provides advanced knowledge of cybersecurity and how to detect anomalies. This online course dives deep into cyberspace and provides handy and practical tools. The Cybersecurity Capstone online course by edX recommends its participants to be well-equipped with a laptop or computer, a good internet connection and a java-enabled browser. Case studies of real-world cyber investigations will be a part of the Cybersecurity Capstone certification syllabus.

This course will have assessment questions within the course. Cybersecurity Capstone training is verified by the Rochester Institute of Technology. It is an instructor-paced course. The candidates will be carefully guided through online instructor scheduled classes. It is one of the courses on the MicroMasters programme. The candidates who are willing to enrol for this course are asked to complete other courses listed in the MicroMasters programme as well. 

The certificate given to the candidates on successful completion of the Cybersecurity Capstone programme can be used for all purposes. It can be used for gaining the MicroMasters credential. It can be used to gain new connections on Linkedin. Since Cybersecurity Capstone training is a performance-based course, it will prove to be beneficial in one’s professional goals.

The Cybersecurity fundamentals by edX help candidates get detailed about the field of security in the world of computing. The candidates will be given an overview of how different branches of security have got a major role to play in computing. 

The threat involved and experienced in the field of computing is one of the dangerous things today. The candidates will gain insight on how to tackle it. The aspirants will have the platform to explore their knowledge and play with it to the best of their potential.

The course assignments, tasks, projects, and quizzes. The candidates will also be awarded the certification at the end of the Cybersecurity fundamentals online course. This motivates them for better performance and helps them get better jobs, salary hikes, and promotions in their career. Cybersecurity fundamentals certification also opens opportunities for candidates to enter the field of cybersecurity. The students have the option to select any one track from either the audit track or the verified track which are both self-paced. The audit track is free but course material access is limited to a certain period. Similarly, the verified track offers paid and unlimited access the course materials.

Computer Forensics is a part of the RITx Cybersecurity MicroMasters Computer Forensics programme. It deals with digital forensics. Digital forensics interprets cyber crimes. It is based on real-life implications. It is designed to impart knowledge of court admissibility. The usage of Linux/Unix and Windows for performing computer forensics is emphasised. The course has graded quizzes included in the Computer Forensics certification syllabus for the candidates. 

Computer Forensics training course by edX is one of the courses of the MicroMasters programme which ensures MicroMasters credential. It is an instructor-paced course. It will provide timely interaction with the instructor. Computer Forensics certification will be obtained after completing this online course, which eventually will fetch direct admission into the professional market. The Computer Forensics certification is shareable on all platforms such as Linkedin. It can also be downloaded and printed for a CV or resume. 

The certificate will push the candidates one step ahead in gaining the MicroMasters credential. edX offers both audit and verified tracks into which the candidates may enrol to learn this particular course. The verified track will help the candidates to learn about this course for a limited period whereas the audit track will allow free access to the course materials but that too for a limited period.

Big cyber attacks and assaults regularly dominate the media: cybercriminals targeting retail giants' weaknesses, foreign interference in elections, and new kinds of ransomware highlight the necessity of preparedness for these dangers. The Cybersecurity: Managing Risk in the Information Age online course provides candidates with a thorough knowledge of how to detect and manage operational, legal, and reputational risk.

Assessing threats and risk management has become a vital talent for business executives, analysts, technology professionals, and cybersecurity personnel, and it has become a core element of company operations. The Cybersecurity: Managing Risk in the Information Age training teaches learners how to analyse and remediate online cybersecurity risks inside an organization's systems, networks, and data, as well as how to handle a cyber threat.

According to a Symantec report, their Global Intelligence Network blocks 142 million attacks each day. with the Cybersecurity: Managing Risk in the Information Age syllabus, candidates will get the skills and knowledge needed to preserve the confidentiality and integrity of digital assets.

The modern digital era has revolutionized the way companies conduct business. But this has also created many security risks to the companies and the customers. Cybersecurity is a real threat to the world, there is a need for professionals with the cybersecurity skills to tackle online security threats associated with industries. The Fundamentals of Cybersecurity online course explores key elements of cybersecurity from both International and South African perspectives.

The Fundamentals of Cybersecurity training teaches to defend sensitive data of a company and support the organisation in case of any thwarting cyberattacks and respond to them accordingly. The program develops the ability to create a stable network model and an appropriate incident management strategy for a company.

The Fundamentals of Cybersecurity syllabus develops a basic understanding of cybersecurity management concepts as well as the appropriate environment. The course provides an opportunity to assess Cyber-threats and examine company Information technology practices.

The Cybersecurity: Identity and Access Management Online Course is an 8-week long course that features the concepts and approaches of cyber security and the proposed methods for protecting cyberspaces and computer systems. The course is offered by MIT xPRO in collaboration with Emeritus.

Through the Cybersecurity: Identity and Access Management Certification Course, learners will be introduced to the fundamentals of cybersecurity engineering. The course will assist learners in their journey to become cyber security professionals.

The Cybersecurity: Identity and Access Management Training Course will be delivered by the experts at MIT xPRO through informative case studies and video lectures. The course will be assessed through assignments and projects that will help understand the domain of cyber security.

The ‘Certificate in Cybersecurity Defense’ online course is about the core principles involved in the defense systems of cybersecurity. The course is provided by the online provider Emeritus in collaboration with MITxPro. The course is organized for eight weeks and the students are expected to spend fifteen to twenty hours every week to complete the course.

The course curriculum is focused on the basics of cybersecurity such as cryptography strategies, security operations center (SOC), incident response (IR) techniques, secure system and network administration in firms, and aspects of cloud security. The course instructors for this program are academic and industry professionals who will guide the students with theoretical and experimental insights on cybersecurity through discussions and case studies.

The students of the ‘Certificate in Cybersecurity Defense’ training program are given the course certificate after completing the program and they can pay the course fee in flexible installments.

Machine learning, which combines the areas of statistics, optimization, computing, and data mining, is being embraced across sectors due to its capacity to solve issues in the availability of large data sets. The Machine Learning: Practical Applications online course covers a wide spectrum of machine learning methodologies, with a focus on artificial intelligence in current business analytics.

Modern machine learning achievements include its use in commercial activities like recommendation systems (like Amazon and Netflix), search engines, and promotion. In financial companies, machine learning technologies are rapidly being utilized for algorithm-based trading, forecasting consumer behaviour, risk, and compliance. The Machine Learning: Practical Applications Training from the London School of Economics provides a systematic approach to artificial intelligence in current business statistics.

The Machine Learning: Practical Applications syllabus engages with real-world challenges by implementing various machine learning models to large datasets in R, interpreting the predictions, and evaluating these predictions to guide the business.

The Launching into Machine Learning programme is a part of the Machine Learning with TensorFlow specialisation, offered by Google Cloud. This Beginner-level online professional course takes about 14 hours to complete. The course of instruction in English and subtitles are also provided for ease of grasping. 

The Launching into Machine Learning online course is offered by industry-leading professionals who have had multiple years of work experience in Machine learning and Tensorflow. Thus, you can be assured of being trained by the best in class. Through this course, you will understand the essence of deep learning and how to optimise it to mitigate common problems in machine learning. 

The Launching into Machine Learning certification syllabus provides you with repeatable and scalable test datasets perfect for training and evaluation. Moreover, you will learn to evaluate the models through loss functions and performance metrics. What’s more, the flexible schedule allows you to learn at your own pace and convenience. 

This certification programme on Java for Android will teach candidates the basic fundamentals of Java and its application and uses in Android app development. The course covers the key Java features that are responsible for controlling the execution flow through an android application. It provides an insight into the Java conditional statements and looping constructs used in the flow of execution. It helps in learning to enable access to all the structured data like the built-in arrays in the collection framework of Java such as the HashMap and ArrayList.

Candidates can apply the learnt java features of this Java for Android course in the core android component features like the basic User Interface elements and activities with help of the common tools learned in this programme. Java programs in the course help you to gain hands-on experience by making use of Android Studio to develop android apps as practice assignments.

The course requires candidates to work on a project at the end of the programme that is required for passing the course. It gives our regular writing assignments and programming assignments to learn to use all the concepts taught in the lectures. The Java for Android course is an intermediate level programme taught by experts from the industry.

Data mining is the study of algorithms. It finds patterns in large data sets. It is an interdisciplinary subject that involves machine learning, algorithms, and databases. The Data Mining program will provide a comprehensive and holistic view about this integral subject of modern industry. 

Participants of the course will learn about basic algorithms like classification, data pre-processing, visualization, association rules, and sequence mining. With regular assignments and case studies, participants are offered a well-rounded understanding of the subject of this course. 

Data Mining is an eight-week program presented on the online learning platform Swayam. The course syllabus is designed by the Indian Institute of Technology, Kharagpur Professor Pabitra Mitra will be teaching this course. It is an undergraduate course in the field of computer science and engineering. Candidates can also opt for certification, for which they will have to sit for an offline exam.

The Data Science: Machine Learning course which is offered by edX imparts knowledge to the participants in the popular concepts of data science which includes predictive relationship, training data, overtraining, cross-validation, movie recommendation system, algorithms, regularization, benefits of regularization, and principal component analysis.

The Data Science: Machine Learning online course also covers the basic concepts in machine learning technology. Data Science: Machine Learning certification course also helps the candidate to build the recommendation systems. The participant will also understand the regularization techniques through Data Science: Machine Learning classes. Data Science: Machine Learning certification also provides an outline of various machine learning algorithms. Concepts like cross-validation are also covered in this programme.

As the Data Science: Machine Learning classes are complete, the candidates will be awarded a certificate of completion. This certificate can be easily shared along with CV and resume as well as on professional networks such as LinkedIn, etc. 

Data Science: Machine Learning certification course completion certificate is provided to the participants on successful completion of Data Science: Machine Learning certification. This certificate verifies the achievement of the learner. The certificate can be shared with the resume and CV. It can be shared with the LinkedIn profile of the learner. The certificate is signed by the mentor and verified by the institution. The candidates will be able to get limited access to the course materials whereas unlimited access will be offered to the candidates in case of verified mode of study.

The large quantum of data that is being generated from laboratories and clinics has the potential to unearth trends and inferences which can transform our efficiency in providing patient care. This management of data is a mighty task for most of the community.

The Demystifying Biomedical Big Data: A User’s Guide online course aims at the rudimentary understanding of the data being generated, its analysis, and subsequent interpretation for those professionals who are involved in the bioinformatics field. You will find most of the catchphrases being demystified over the course of this engagement.

The US National Institutes of Health is gracious enough to fund the operations of the Demystifying Biomedical Big Data: A User’s Guide program, and to deploy competent resources that make this program understandable by the participants by putting in 3 to 6 hours per week. It’s a self-paced program and can be taken while keeping one’s job.

Data Analytics Certification Course is a highly relevant training program that explores a wide range of topics under the broad spectrum of data analytics. The course has been designed for the online platform, and you can avail free trial. Every week you will be presented with modules with a higher level of difficulty that will train you with practical and theoretical knowledge.

One of the essential aspects of the Data Analytics Certification program is that it is a globally accredited certification and live educator support to all students. The course curriculum has been carefully curated to bring international focus and a high level of understanding. You will also get the benefit of regular evaluation and assessments through exams and tests. 

The Data Analytics Certification Course is offered by Upskillist to help you gain a solid understanding of the field and build a foundation in statistics. It offers flexibility by allowing you to choose your class schedule and pause your course at any given time.

The Big Data Analytics For Smart Grid certification course is an 8-week course that uses the concepts of Python programming language is an open-source software to demonstrate the use of Big Data Analytics in smart grid systems. The data in today’s world is influenced by the fast developments taking place in cloud computing and digital technology involving human activity, communications, sensors and digital equipment. 

The Big Data Analytics For Smart Grid training will involve case studies and begins with the introduction and importance of such analysis with data collection through intelligent devices, machine learning, deep learning, and its associated algorithms. 

The coursework is intended for both academic based attendees such as students, faculty and industry professionals. This course is supported and framed in collaboration with industries such as IBM and Opal-RT. This Big Data Analytics For Smart Grid programme aims to explore the issues arising in the processing and analysis of large volumes of data which is challenging to be done in a structured way. 

Offering 2 credits, and having a course level of postgraduate, the Big Data Computing certification is an 8-week course. This certificate course has been curated by NPTEL and IIT Patna, on the Swayam platform. The curriculum is the presentation of the IIT Patna faculty mainly for students. Or engineers or even scientists of all fields of studies who want to seek ideas related to Big Data Computing and its applications.

Big Data Computing training is very important in this world of gathering different data components of social media, transactions records of purchases made, cell phone GPS signals, climate information, and more. Big data computing will help participants to solve data problems related to such a big variety. This certificate course which is free will guide all the participants through the applications, problems, and technologies that are used by big data. Moreover, this certification has the backing of several big tech companies like Microsoft, Amazon, IBM, Google, and Facebook 

Data analysis is important for research and making further policies for the development of the organization. Extracting, analyzing, and processing data from complex data set can become an easy task through Big data technologies. The challenging task of analyzing structured, semi-structured, and unstructured data can become manageable through the course by TCS iON. The certificate program in Big Data Technologies is a self-paced course available for IT professionals or data analysts on the TCS iON portal. This is the online course of two months jointly organized by TCS iON and 361° minds. 

Certificate Program in Big Data Technologies training shall guide the learners for working and analyzing the complex data using the software. The course needs the commitment of 8-9 hours per week in the duration of 8 weeks to complete the course on time. The certification course is designed in a way that it shall provide the knowledge from basic to advanced level to the learners about analyzing complex data sets. The  Certificate Program in Big Data Technologies certification syllabus consists of modules and assessments preparing learners for the TCS iON Procert assessment. The assessment shall open the gates for multiple opportunities as a data analyst. After the completion of the course, the learner shall receive Certificate Program in Big Data Technologies certification by TCS and 361° minds.