Free It Software Courses & Certifications

Data Science: Visualization certification course is an introductory course about data science. The topics it covers are the basics of data visualization and data analysis. This course includes case studies on global health, economics, and trending diseases in the United States. This course is a part of the professional certificate programme. Data Science: Visualization training entails looking at mistakes, biases, and many other systematic errors in data that need special care. It is very difficult to spot mistakes within a dataset, for that matter, it is particularly important. 

Data Science: Visualization online course is verified by one of the leading institutions of the world, Harvard University. The courses offered by edX offer financial assistance to economically weaker sections. A 90% financial assistance will be offered to those who fit the criteria. The candidates will be able to access the course materials only for a specified period when it comes to learning in the audit mode. Again, in the verified mode, the candidates will be able to access the course materials for an unlimited time period.

The Data Science: Visualization classes program is shareable on all platforms. The enrollees can add it to their CV or resume. The digitisation of the modern world has led to growing demands for data visualization. Through Data Science: Visualization training, the enrollees will be able to access profitable skills for future careers that will be based on data visualization.

Measurable deduction and displaying are vital for investigating information influenced by some coincidence, and hence basic for information researchers. In the Data Science: Inference and Modeling certification course, you will become familiar with these vital ideas through a spurring contextual investigation on political decision gauging. 

Data Science: Inference and Modeling certification course will show how derivation and demonstrating can be applied to build up the factual methodologies that make surveys a powerful apparatus and we'll tell you the best way to do this utilizing R. Students will learn ideas important to characterize evaluations and edges of mistakes and figure out how you can use these to make expectations moderately well and give a gauge of the exactness of your estimate. 

When candidates gain proficiency with this, they will have the option to comprehend two ideas that are universal in information science: certainty stretches, and p-values. At that point, to comprehend articulations about the likelihood of an up-and-comer winning, candidates will find out about Bayesian demonstrating. At long last, toward finishing the Data Science: Inference and Modeling training, Harvard University will assemble everything to reproduce a disentangled adaptation of a political race conjecture display and apply it to the 2016 political race. 

The course is self-paced but the candidates need to select anyone from the audit or the verified track. There are two basic differences between the two tracks. In the audit track, the candidates get only a limited period of access to the course materials without having to pay any money. Again on the other hand the candidates who choose the verified track get unlimited access for viewing and learning the course materials.

The Internet is the world’s largest network. It connects everybody, from machines to people, in all life areas, be it stock exchange or art. But have you ever wondered how it all really works? Well, with the iLabX – The Internet Masterclass by edX, you will understand all the underlying internet mechanisms, along with creating a network of your own.

Every module in the iLabX – The Internet Masterclass curriculum starts with the historical background of all the Internet’s mechanisms and tools. The modules will be delivered to you through videos, texts, and other diverse interactive learning elements. You will also work on a unique vLab virtual Internet laboratory, to create an internet of your own.

The iLabX – The Internet Masterclass online programme also features many practical exercises to consolidate the concepts learnt. Moreover, you can also opt for a certificate if you wish to gain employment benefits after completing the programme. All you need is enough curiosity to learn about the Internet. There are two options for learners to enrol for the online course programme; verified and audit modes. In the audit-free mode, the candidates can access the programme only for a limited period of time.

The Network Security course thoroughly covers all the aspects of network security such as network auditing, intrusion detection, evidence collection, and even contingency planning against attacks. The meticulously designed course content very lucidly explains how to prepare for network attacks using numerous pattern-proof strategies and also teaches how to defend against network attacks from a wider perspective.

Network Security by edX very thoroughly discusses various vulnerabilities in networks and systems. Through this course, candidates get to understand how to identify when attacks are happening inside the networks using strategically presented course material and lectures. The 8-week self-paced Network Security training empowers the candidates with ample time and opportunity to thoroughly understand various topics and aspects of network security, its impact, and various guidelines related to it. The candidates also get to explore the concepts and principles of wireless and wired data network security. The Network Security programme also discusses physical layer mechanisms, applications, filters, and encryption. 

There are 2 tracks namely the audit and the verified track offered by edX which are self-paced. The candidates may choose any of these tracks that can be enrolled. The main differences between these 2 tracks are the access timing for the course materials and obtaining the certificate of participation. During the audit track, the access is limited and no certification is given whereas during the verified track, access is unlimited and a certification is also offered.

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.

Understanding different risks and issues involved in cloud computing projects and proper management of these issues using the new cloud computing technology forms the crux of Cloud computing Engineering and management certification by edX online programme. Cloud computing Engineering and management programme is provided by edX, an online education providing platform along with the reputed institutions of University of Maryland global campus (UMGC) and University system of Maryland (USM). 

This instructor-led course runs on a scheduled based system which is under the guidance of experienced professors from these universities. The students are provided with the option to audit the Cloud computing Engineering and management training for free and to purchase the complete course with unlimited access and graded assignments, a fee has to be paid. This course is part of the online course series of MicroMasters program on Cloud computing itself.

This cloud computing training course provides the students with a comprehensive curriculum that is centered around cloud computing technologies and their various applications and covers many important concepts such as Resource pools, Cloud Migration, Cloud service level agreements, and other business practises. 

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 an instructor-led mode but the audit track offers only limited access to the course materials without any cost, and shares no certificate of completion. The verified track on the other hand offers unlimited access thereby offering a certification only if the candidates are interested in paying some money.

Also Read: Cloud Computing Certification Course

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.

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.

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 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.

The Knowledge Management and Big Data in Business program presented by the platform of Edx provides learning freedom to all candidates interested in business and management. The course is an 8-week learning program. Students should invest 6-8 hours weekly to complete this management and big data business certificate programme. The Hong Kong Polytechnic University has designed the Knowledge Management and Big Data in Business training in collaboration with Edx. Interested candidates willing to study in this management training program will learn about subjects such as management and business. 

The online course on big data in business and knowledge about management provides introductory-level knowledge about the concepts related to the field. There are two options to pursue the Verified Knowledge Management and Big Data in Business certification, namely, verified and audit. In the verified mode, the learners can get this certification program after paying the required fee. Aspirants can avail themselves of this program free of cost in the free audit mode. 

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 enroll 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.

There has been a surge in the use of online and software-based learning tools and their applications in the education sector in recent times. This has resulted in an increase in data generated that can be used for improving educational effectiveness. This can also help in supporting research for learning. The Big Data and Education by edX is one such initiative to make candidates learn about the methods and key analytics techniques for data mining and its uses in education.  This Big Data and Education certification will teach candidates about the various techniques and methods being used by researchers and developers in the data mining of the education domain. 

The various methods covered in the Big Data and Education certification syllabus are using and applying Python and other tools such as RapidMiner etc. The practical aspects of this like determining the trustworthiness and other application shortcomings will also be covered. The learners have two modes to join the programme; free and verified. In the verified mode, the learners need to pay the fee and will get the certificate whereas in the audit mode, the candidates can join the course free of cost and get a limited duration. 

The Data Analytics and Visualization in Health Care course is a composite course created for learners of different levels of understanding and with multi-discipline backgrounds. Big data has transformed the way the healthcare industry functions. With factors like improvement of quality, reducing costs and patient engagement being key objectives to focus on, the techniques used for analysis, processing and even collecting health care data have seen a massive advancement. This Data Analytics and Visualization in Health Care certification course will teach candidates the use of Data Analytics in the healthcare sector and its implications on the organization. 

The Data Analytics and Visualization in Health Care online course will help candidates in creating a foundation that helps in creating a data analytics program designed specifically for the healthcare domain which tackles the most burning question of the industry and provides a visual solution for deeper and more impactful answers to the applicants. Students can enrol in the course either by paying the fee or free of cost. While taking the programme for free, the learners will get access only for a limited duration. 

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.

The Biostatistics for Big Data Applications training starts with statistical concepts and terminology, and a brief introduction to the R statistical software package, creating a foundation for learners to build on. Later on, the fundamental components of the bio statistical methodologies used in both omics and population health research are discussed.

Examples will be discussed after each topic in the Biostatistics for Big Data Applications certification syllabus. There will also be self-assessment opportunities for learners to gauge their understanding. Moreover, to improve their R programming skills, participants can undertake practice exercises and use real datasets that will be provided to them.

The Biostatistics for Big Data Applications programme is developed by the University of Texas Medical Branch (UTMB). The video lectures are delivered in English, and their transcripts are also available only in English. To complete the programme comfortably within eight weeks, learners should spend around 2-3 every week, studying.

The Course in Information Technology online course is an important course based on the evolving digitalised world. Since most of our day-to-day life interactions, work, and institutions use IT, this course aims to increase the digital literacy of its learners. The complete knowledge of digital media and its key usage is covered throughout the course curriculum. It mainly revolves around thinking, storing, and processing, present, and future processes.

The course will run through the online mode. The course curriculum consists of 30 modules. The entire course will have 3 credits which can be transferred after course completion. The course is designed for individuals opting for or is already at the undergraduate level. This course will provide reference links given by IT experts. The course is free of cost. The course platform is initiated by MHRD. The course is verified by Savitribai Phule Pune University. The course curriculum will consist of assignments and multiple-choice questions.

The Course in Information Technology by Swayam offers a verified certification. The certification can be availed after passing the final proctored examination. The candidates can grow their careers in the IT sector with the course certification. It will add more professional networking opportunities.

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. This is an AICTE-approved course with an FDP provision as well. 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. 

Problem-solving for humans can be a tough nut to crack, and that is why certain approaches to problems can be tweaked for efficient resolution. Problem-solving in the field of artificial intelligence is not confined to a single approach but many. Problem solvers may be based on memory, search, reasoning, and knowledge representation. In AI: Constraint Satisfaction certification course, the approach to problem-solving by posing them as constraint satisfaction problems has been discussed lucidly along with the general methods to solve them. 

AI: Constraint Satisfaction certification by IIT Madras. The course is taught by renowned IIT Madras faculty Prof. Deepak Khemani. Throughout this course, candidates will learn how a user poses a problem as a CSP, and then calls an off-the-shelf solver. This course carries two credits and will teach candidates about the general approaches to solving finite domain CSPs while exploring how search can be clubbed with constraint propagation to determine solutions in the field of Artificial Intelligence.

The AI: Constraint Satisfaction online course is a companion to Artificial Intelligence: Search Methods for Problem Solving course and Artificial Intelligence: Knowledge Representation & Reasoning. It has been approved by AICTE as an FDP course to upskill the faculty in the current domain.

The Advanced Computer Architecture certification is offered under the Department of Computer Science and engineering. Swayam offers this program in association with IIT Guwahati. Participants who take admission in this course come to know about high-end microprocessors, cache memory, cache optimization using gem5, etc. The course does not ask the students to pay any fees to access the course. The Advanced Computer Architecture training given through this program is completely online and there is no requirement of attending the video sessions at any specific time. The video lectures can be joined by the students at any time. Similarly, candidates can leave the sessions too according to their requirements. 

Students also get the chance to acquire a verified certificate for the online course which can be availed by paying the registration amount as exam fees and qualifying for an in-person exam. The approximate time which will be taken by the mentor of the course to complete the Advanced Computer Architecture certification syllabus is 8 weeks. Students can also learn from the course on their own if they want to choose a longer period of time than 8 weeks. The program is available on the website throughout the year so that students can apply to the course whenever they feel the need. 

Advanced Graph Theory certification course will offer the candidates learning on the different notions of the graph theory. All the theories and algorithms have been well discussed so that the candidates know their importance in the field of computer science.

The aspirants will be covering the fundamental principles during the course along with the techniques in the field of Graph Theory. Some emerging applications will be discussed with the candidates so that they have a glimpse of significant impact. Spanning trees and enumeration are headings where the experts have laid emphasis on. The course prepares the candidates for industry exposure as well.

After the completion of the Advanced Graph Theory certification, the candidates will be having intimate knowledge about the role of graph theory and the technology used to solve all of these problems. The candidates will be coming across many of the theorems and how the algorithm is formed for each of these in the computer science field.

The Fuzzy Logic and Neural Networks certification is a multidisciplinary course which can be pursued by graduate or postgraduate students. Students who decide to pursue this course will get to know about fuzzy clustering, fuzzy reasoning, neural network, etc. The programme does not have any limitations regarding the admission process and can be joined by the interested students throughout the year without having to pay any amount. The course is provided as well as mentored by the Indian Institute of Technology, Kharagpur. The teachings of the course are in online mode throughout the Fuzzy Logic and Neural Networks certification syllabus of the course.

The Fuzzy Logic and Neural Networks programme is conducted by the platform of Swayam which is a government-initiated platform and gives free courses to all the students across the country. The duration which is needed to complete the course is 2 months. Candidates can learn from the programme as per their schedules since this is a self-paced course. The online training authorizes the students to be a certified user of the programme by obtaining the certificate through the mode of an exam fee followed by the offline exam. The Fuzzy Logic and Neural Networks online course also provides interactive sessions through case studies and discussions which can be done through the discussion groups created for the user of the course.

The Introduction to Uncertainty Analysis and Experimentation certification course will begin with fundamental subjects on the study of complexity and its applications and offer an outline of exploration. This course would learn from professional engineers, scholars, and engineering students at UG, PG, and Ph.D., from many disciplines. The course is divided into different segments as per the week's scheduled curriculum that will intellectually focus on every particular module and sub-chapter in a more comprehensive manner. 

The Introduction to Uncertainty Analysis and Experimentation training will be given more importance to promote analytical learning in the course. The subjects include the method of experimentation, measurement errors, measurement and outcome uncertainty, the transmission of uncertainty, pre-and post-test uncertainty analysis, set-up configuration uncertainty analysis, and regression and correlation. The approach would adopt the "performance test code" of ASME and the ISO "Guide to the expression of measurement uncertainty." The Introduction to Uncertainty Analysis and Experimentation certification will provide a brief structure of the field and each core segment that is essentially included in the particular major. A selection of practical applications and the use of national and international principles relating to engineering and research and their importance to education will be addressed in the programme.

In this era of globalisation and mongering threat of cybersecurity attacks, developing secure and efficient computer systems and the regime has become inevitable for every organisation touched by the digital revolution. Information Security - 5 - Secure Systems Engineering by SWAYAM discusses everything one needs to know about information security and the engineering of secure systems to build a strong conceptual idea of the same.

The syllabus deals with various challenges and issues in systems and mechanisms by which they can be mitigated. The first part will cover such security threats which can hamper the system health and can lead to major cyberattacks. To understand them in-depth, the course will also discuss how such vulnerabilities could arise from simple programming flaws like a buffer that overflows to complicated application runtime characteristics that are demonstrated through side-channels like the power consumption of the device and execution time. 

It will also deal with the case analysis of recent cyberattacks like Heartbleed, Stagefright, and Meltdown and Spectre. The course will be taught by adopting multimedia technology and aims to reach every person looking for quality education at minimal to no cost. It will be taught by a faculty from IIT Madras.

The Machine Learning ML program focuses on the scientific discipline that is related to the genre of Machine Learning and helps the students to develop algorithms to help the students find patterns that are related to make predictions from the domain of empirical data. In the online course on Machine Learning, ML by Swayam, the students would be finding patterns or will be making predictions from the given empirical data. 

The certification program over the course of eight weeks will be focusing on the following- Forms of representation, Examples, demos and exam preparations, Learning enabled by prior theories, Tools and resources + cognitive science, and Machine learning-based artificial neural networks. The Machine Learning ML certification course will be benefiting the students to incorporate the knowledge of machine learning in real-world examples and tree-based inductive learning along with logic programming. The session will be making the candidates professionally ready.

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. 

Data Mining certification is an AICTE approved FDP course that will cover the fundamentals of data mining. 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 Database Management System online course throws light on the backbone of all major applications used today, i.e. databases and their models, design paradigms, and structured query language (SQL), to name a few. Students get the opportunity to closely examine the file organizations, data structures, database designs, implementation, models, and more!

IIT Kharagpur has curated the Database Management System certification syllabus so that learners get familiarised with a wide array of concepts. These range from relational data models and SQL to entity-relationship modeling, database designs, and data normalization. Moreover, learners will also work on weekly assignments to explore query coding practices using MySQL or any other open platform. 

The Database Management System training is spread over eight weeks. Students will be undertaking this curriculum with Professor Partha Pratim Das and Professor Samiran Chattopadhyay as their instructors, who have years of academic teaching experience. With their combined professional expertise, students can be assured of being trained by some of the country’s best minds!

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.