Online IT Software Courses & Certifications

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.

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. 

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.

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. 

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.

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 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.

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 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.

Machine learning and artificial intelligence are new technological steps that can be applied in numerous fields to bring innovative breakthroughs. Machine learning and artificial intelligence has also an extraordinary scope and application in the medical and healthcare field. Fundamentals of Machine Learning for Healthcare will help the students to understand the significance of machine learning and artificial intelligence in the medical field and their potential to bring about transformations. 

Fundamentals of Machine Learning for Healthcare Certification Syllabus will introduce the learners to the basic concepts of machine learning and its applications in medicine and healthcare. By taking the course offered by Stanford University, the students will learn healthcare, health policy, pharmaceutical development, data science, and many more. 

Fundamentals of Machine Learning for Healthcare Certification Course, administered by Coursera, is a beginner-level programme that can be taken by the candidates at their own pace. Fundamentals of Machine Learning for Healthcare Certification by Coursera, instructed by Matthew Lungren who is the Associate Professor at the Department of Radiology, and Serena Yeung who is the Assistant Professor at Biomedical Data Science, is the third course in AI in Healthcare Specialization. 

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. 

The Managing Machine Learning Projects with Google Cloud certification course is designed as a beginner level programme. The programme can be joined from the platform of Coursera. It offers a self-paced learning experience and students can learn from the available study material without any restrictions. 

The programme does not charge any amount for joining and learning from the course. Participants will be able to complete the whole Managing Machine Learning Projects with Google Cloud certification syllabus in approximately fourteen hours as it contains eight modules that will take up to a month. Students will be able to gain information regarding machine learning with respect to business problems. 

Students will be able to obtain a certificate if they complete the Managing Machine Learning Projects with Google Cloud programme within the given time. Candidates have the option to reset the deadlines according to the schedule of their suitability. The course also includes quizzes, readings, discussions, and assignments in order to provide a better learning experience for the students. The topics included in the Managing Machine Learning Projects with Google Cloud certification can be completed in the duration of one to three hours. 

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 Intelligent Investing for Everyone programme addresses the various investment-related topics and bridges the gap between professional investors and everyone else. Whether you're investing in your own portfolio or an organisation's, you can enjoy better investment outcomes using AI, Machine Learning (ML), Blockchain, and big data techniques and tools.

This 8-week online curriculum involves interactive sessions held by the prestigious Berkeley Haas faculty. It has been divided into eight modules for maximum comprehension. Approximately 3-5 hours every week will be required to finish the Intelligent Investing for Everyone course.

You’ll learn concepts via case studies, moderated discussion groups, live office hours, and real-world application exercises. Once you complete the Intelligent Investing for Everyone training successfully, you’ll be one step closer to UC Berkeley’s alumni, a private worldwide network of over 41,000 members across 80 countries. 

You will also get a completion certificate from UC Berkeley Executive Education that highlights your gained skills to prospective recruiters.

The course Industrial Internet of Things (IoT) on Google Cloud Platform (GCP) is designed by the Google Cloud team. Here, you are going to learn every fundamental detail about sensors, devices, and analysis. However, even though you will get to learn about sensors and devices the main focus will be on the cloud side. This course is designed in a different way from many other Coursera courses as here your major learning is going to be through quizzes, projects, and labs.

You will learn about the nuances of scaling, device communication, and processing streaming data. And as mentioned before you will learn the cloud side of IIOT through simulated lab devices. 

Some skills that you will learn here that will help you grow in your career includes the cloud side of IoT, Cloud IoT Core, Pub/Sub, and Dataflow, implement a pipeline from their device to BigQuery and Dataprep, store data on Cloud Google storage and use BigQuery and Dataprep to gain insights into IoT data.

Throughout, you will get to practice these skills in almost 7 labs. After that, you will get a chance to test yourself in a Capstone lab using Cloud IoT Core Inspector.

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.

Data analysis is very critical in biology and one of the key skills of biologists for academic research and industry. Data Analysis for Biologists can guide you on the possession of data analysis needed for biology practitioners. The online course is an 8-week long program. Data Analysis for Biologists Certification Course will walk you through the concepts of data analysis and its application in biology as well as the concepts of linear algebra, statistics, and the whatnot. 

Data Analysis for Biologists Certification is offered jointly by Swayam and IIT Guwahati which can be enrolled by the learners without paying any fee. However, the certificate of completion will be provided to those who sat for the exam by paying the fee. The course is meant for undergraduate and postgraduate level learners who are from the background of biology and biotechnology.

With an increasing reliance on descriptive statistics to influence decision-making, the process of extracting information from data has now become an extremely desirable skill. The Data Analysis online course by UCT begins with an introduction to data analysis foundations and the larger possibilities of statistics in commerce. The course covers a broad range of statistical approaches and is organised all over the broad outlines of various data studies: inferential, descriptive, predictive, exploratory and prescriptive.

Data analysts play an important role in assisting company executives in making informed decisions, distinguishing between efficient and inefficient practices, cutting expenses, and solving significant problems; they are thus an essential component of any successful organizational team. The Data Analysis Training involves learning how to acquire, store, organize, analyze, and interpret data.

The Data Analysis certification syllabus provides opportunities to test data analysis methods on real-world datasets. Finally, The course provides practical skills that can be implemented immediately in the organization to handle particular business demands in Sales, Finance, marketing, Human resource management and Operations management. 

According to a World Economic Forum report, By 2025, the world will generate 463 exabytes of data every day. As the world is becoming increasingly data-driven, future leaders must have quantitative abilities to support business management strategy and decision-making. The Data Analysis for Management online course provides applicants with the practical tools and information they need to comprehend, interpret, and convey information relative to their job and organisation.

A PwC report states that 77% of CEOs want to use data-driven choices to improve operational excellence and generate revenue. The Data Analysis for Management Training, led by LSE specialist academics, helps candidates learn how data-driven frameworks may help them make sound choices in a fast-paced environment.

The Data Analysis for Management certification course encourages applicants to complete a capstone project in which they apply the tools and ideas learned to derive business insights from real-world data sets. Candidates will also get experience visualising and reporting on insights gleaned from sets of data using Tableau, a renowned data analytics and business intelligence program.

Individuals with a hybrid combination of analytical abilities and domain-specific experience are required to accelerate data-driven business choices as the amount of data available affects the way businesses function. The Data Analysis and Visualization online course by Rice University equips participants with the information and skills they need to analyze, display, and convey data insights successfully within their company.

According to the Entrepreneur report, Businesses that use big data analytics can save 10% on their overall costs. The Data Analysis and Visualization Training teaches how to use technology resources like SQL, Tableau, and VBA with the help of industry professionals. The program also teaches how to use sophisticated Excel tools, databases, and realistic statistics to grasp the basics of statistical analysis.

A Businesswire study says that by 2022, business analytics and big data are expected to generate $274.3 billion in global revenue. Data Analysis and Visualization certification course teaches how to communicate successfully with clients through data narration, using data-driven conclusions and excellent visualization approaches.

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!