List of Online Courses and Certifications

Data analytics has changed the way organizations and businesses run today. Extracting meaningful information from massive data has become possible, which further helps in decision-making and solving practical problems. Applied Multivariate Statistical Modeling Training offered by Swayam in association with IIT Kharagpur provides a fundamental understanding of data analytics and multivariate data. 

The Applied Multivariate Statistical Modeling certification course by Swayam aims to help students build their confidence in multivariate data interpretation. The online learning program will help students identify real-life problems and describe them to collect relevant data. It is a postgraduate-level course covering the core concepts of statistical modeling of multivariate data. 

The Applied Multivariate Statistical Modeling Certification Syllabus includes various assignments that will help you understand and apply the skills you learn simultaneously. Moreover, the average assignment score, along with the final assessment marks, will help determine whether you will get a digital course certificate or not.

The Certified AI Professional course is designed to prepare candidates to solve problems in real-world scenarios with the help of Artificial Intelligence, provided to candidates by the National Institute of Electronics and Information Technology, Calicut. This course explains how to formulate Artificial Intelligence (AI) problems and solve them successfully with the help of raw data collected from various domains.

The Certified AI Professional by NIEIT Calicut describes how basic data analysis is done alongside machine learning development methods taught to the candidates with the unstructured & structured data. This course teaches how to make correct predictions and improve AI decision-making skills with the inclusion of images, videos, and texts using natural language processing and deep learning.

This program covers linux basics, data visualization, probability, and statistical methods, all of which enhance the candidate’s AI processes. The Certified AI Professional course also deals with reinforcement study methods, artificial neural networks, and applications of the same in Artificial Intelligence.

An intelligent agent must know how to solve real-world problems. The key to intelligence is creating visualizations of the domain of interest and reasoning with these representations. In this Artificial Intelligence: Knowledge Representation and Reasoning certification course, you will explore various associated algorithms for reasoning and representation formalisms. 

The Artificial Intelligence: Knowledge Representation and Reasoning certification by IIT Madras available on Swayam starts with a basic language of propositions. After that, it moves on to first-order logic, and subsequently, to representations for reasoning about change, situations, actions, and other agents in cases where there is a lack of information. This course is a companion to the course “Artificial Intelligence: Search Methods for Problem Solving” that was offered recently and the lectures for which are available online.

Along with the lectures, Artificial Intelligence: Knowledge Representation and Reasoning online course also provides links to supplementary reading materials. After 12 weeks, you will also have a chance to appear for a proctored exam. Passing this exam will get you a course completion certificate, which you can employ to showcase your skills in Artificial Intelligence.

The artificial intelligence (AI) revolution is transforming our world, and the demand for skilled professionals who can harness AI's power is on the rise. Artificial Intelligence, provided by Carnegie Mellon University’s School of Computer Science along with Emeritus, is a 10-week long online certification course that provides a comprehensive overview of the theory and practice of AI, with a focus on modern computational techniques for representing task-relevant information and making intelligent decisions. The Artificial Intelligence certification by Carnegie Mellon University’s School of Computer Science covers a wide range of topics, including machine learning, natural language processing, computer vision, and robotics. 

With the help of Artificial Intelligence certification, you will gain practical experience by working on real-world projects, such as developing decision support systems for medical environments, recommender systems for ad targeting, and intelligent systems for autonomous work environments.

The skills learned in this course are applicable across a wide range of industries, including healthcare, finance, manufacturing, and transportation. By opting for the Artificial Intelligence certification course, you will be well-positioned to help organisations stay ahead of the technology curve and apply AI-powered solutions to real-world problems.

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Computer vision is a rapidly growing field with applications in a wide range of industries. The Computer Vision certification by Carnegie Mellon University's School of Computer Science is a 10-week long online certification course that provides a comprehensive introduction to the theory and algorithms used in computer vision systems. Emeritus along with CMU is providing this course. Computer Vision covers a wide range of topics, including image detection, recognition and processing, 3D reasoning, and video analysis. It also provides insights into the real-world uses of computer vision technology.

The Computer Vision certification is ideal for technology professionals who want to learn more about computer vision and how it can be used in their work. It is also a good fit for machine learning engineers who want to gain hands-on experience with computer vision tools and techniques. 

The Computer Vision certification course requires knowledge of multivariable calculus, linear algebra, probability, and statistics, as well as Python programming. This course is taught by leading experts in the field of computer vision. Additionally, the course includes a capstone project that allows students to apply their skills to real-world problems.

Deep learning is a powerful technology that is being used to solve problems in many different areas. Deep Learning is a 10-week-long online certification course which is brought to you by Carnegie Mellon University’s School of Computer Science Executive and Professional Education along with the online education provider Emeritus. This online course will teach you the basics of deep learning and how to apply it to real-world problems. With the help of this course, you will be able to understand how neural networks operate, identify the right architecture for your needs, and generate and refine deep learning models.

The Deep Learning certification by Carnegie Mellon University’s School of Computer Science will teach you the basics of deep learning and how to apply it to real-world problems. You will learn about different neural network architectures, including CNNs and RNNs. You will also learn about the concepts necessary to solve time-based problems.

Also Read: Online Deep Learning with Python Certification Courses

Big Data Analytics is an online programme available on edX that falls under the subject of Computer Science. The programme is designed and administered by AdelaideX, which is the massive open online course (MOOC) platform of the University of Adelaide providing free online courses to students worldwide. 

The Big Data Analytics Certification is designed to train the participants on major tools and techniques to come up with important business information and make business decisions by storing, processing, and analysing large-scale data such as R and Apache Spark. By joining the Big Data Analytics Certification by AdelaideX offered by edX, the participants will develop the potential to creatively approach the major issues and challenges of data science. 

The Big Data Analytics Certification Syllabus will help the students build a detailed understanding of big data analytics, cloud-based big data analysis, predictive analytics, etc, and sharpen their programming and mathematical skills. There are two modes to take the self-paced programme; verified and audit-free modes. In the free mode, the learners will get only limited duration and in the verified track, they can get unlimited access and a certificate of completion. 

If you love numbers, are curious to learn to code, and possess strong communication skills, then a career as a data analyst is for you! Since the world is increasingly becoming data-driven and data is useless without the skill to analyse it, the demand for data analysts is soaring. 

Ironhack’s Data Analytics course covers all core concepts of data analytics within a span of 9 weeks if pursued full-time and 24 weeks if pursued part-time. Conducted by industry-best instructors, this in-person training programme can help you start a career as a data analyst even if you do not have previous IT experience. 

The Data Analytics course syllabus is divided into 3 Modules + 60 hours of online learning material as pre-work that will help you become familiar with the course content. The course will be taken in four languages, and at the end of the course, your final project will determine whether you qualify for an interview in the Hiring Week. 

Deep Learning and Reinforcement Learning Certification by Coursera introduces its learners to two of the most sought-after avenues in Machine Learning-Reinforcement Learning and Deep Learning. The latter is abundantly used to power most of the AI applications that are used on a daily basis. Deep Learning and Reinforcement Learning Certification Syllabus exhaustively cover the theory of neural networks that form the basis of Deep Learning as well as modern architectures concerned with Deep Learning. 

As an intermediate-level course, it serves as the perfect second step for aspiring data scientists interested in getting hands-on experience with both the domains in Machine Learning to learn at their own pace and earn a certification. Delivered by IBM professionals, the course will focus on Reinforcement Learning once learners have developed a few Deep Learning models. Although Reinforcement Learning has only a few practical applications at present, it is coming up as a promising area of research in AI that is expected to become relevant in the coming future. At the end of the course, data scientists will find them to be well acquainted with the learnings provided in the course. They can easily implement them in their workforce and deliver timely solutions.

Business Intelligence using Power BI online certification is designed by Board Infinity, an online educational platform for job seekers and students that would assist them in setting realistic objectives and achieving their full potential. The Business Intelligence using Power BI online course by Board Infinity focuses on teaching the fundamentals of Microsoft Power BI and discusses the principles and strategies used to graphically analyze data.

Business Intelligence using Power BI online classes is a 1 week course, which seek to explore a variety of Power BI functionalities such as Power BI visuals and Power Query for various business intelligence operations. This course also covers data visualization, data modeling, data analysis, and data analysis expressions (DAX), among other data science topics. By the end of this course, learners will have learned the fundamentals of dashboards and will be able to design several dashboards.

The Introduction to Data Analytics certification course is an 8-week duration programme. The prerequisite for this course is students must be familiar with high-school-level linear algebra, and calculus. They must also know probability theory, statistics, and programming. The certification course offers an extensive curriculum that covers descriptive statistics, inferential statistics, regression, ANOVA, and machine learning.

The Introduction to Data Analytics certification by NPTEL provides an in-depth understanding of elements that will help in making the physical well-being and athletic prowess of individuals. The certification course helps students to get equipped with the required knowledge and skills to function effectively in the field. 

Also Read: Online Data Analysis Courses & Certifications

Designed to make you a pro at Structured Query Language (SQL), the SQL Nanodegree Programme by Udacity offers an in-depth training which will help you in learning the execution of core SQL commands to access, manipulate, control, and join data and data tables. Introduction to the language also includes tutorials on how to optimise SQL queries, clean data, and write select advanced JOINs for enhancing analysis performance.

With a primary focus on providing an immersive learning experience, the SQL course nourishes your skills in leveraging the power of SQL commands and functions, data cleaning methodologies for joining, aggregating, and cleaning tables. Candidates will get an insight into how to perform analysis on data stored in the relational and non-relational database systems to boost strategic decision-making.

Choosing the SQL Nanodegree Programme will make you proficient in determination, creation and execution of SQL and NoSQL queries that might manipulate and dissect large scale datasets. You will also learn to apply relational database management techniques that normalize data schemes and build supporting data structures for social news aggregators.

If you are an aspiring entrepreneur looking to make your first entrepreneurial venture a success or a business owner wanting to take your business to the next level, the Entrepreneurship Acceleration online course by Wharton is the perfect course for you. This programme aims to train you in a set of skills that will help you to materialise your idea and increase the likelihood of your success. 

Wharton, in association with Emeritus, has designed the Entrepreneurship Acceleration Programme: Scaling Your Business course, offering flexible learning options so that the candidates can balance it with work conveniently. Moreover, the classes are conducted online while the tutorials and live discussions are recorded so that you can cover them at your pace. 

The Entrepreneurship Acceleration online programme is a two-month course, rife with video tutorials, application-based learning through real-world examples, peer learning sessions and quizzes and assignments. 

Besides, the course is taught by reputed faculty like David Hsu, Karl Ulrich, Lori Rosenkopf, Kartik Hosanagar and Ethan Mollick. After you complete the programme, you will also be eligible to receive a digital certificate of completion.  

The Digital Transformation in HR certification helps the participants learn all the technicalities of HR and its application. The course is guided by LSE faculty and enables candidates to pursue this programme with a self-paced learning method. Upon taking the course, students will learn about all the important tools to solve problems related to HRM. The candidates will be provided with assignments, projects, video lectures, and others to learn in the most comprehensive way. Through this eight-week course, the students will learn how an organisations’ digital transformation impacts employee experience, performance, and satisfaction.

Also Read: Human Resource Analytics Certification Courses

Data used to be a term that was associated with tech companies but not anymore. Data is now being used to transform businesses across industries. Organizations from a startup to large MNCs plan their business decisions based on insights gathered from available data.  As the significance of data analytics increases, it’s unsurprising that various researches indicate that many companies and businesses are equipping themselves to use their data resources for a better competitive edge in the market.

IIM Amritsar through its advanced data analytics certification course wants to prepare the students towards the rising field of data analytics. This course will help the students in securing a good position in the data analytics field. From analytic techniques to industry-standard tools, students will get to learn all the relevant knowledge about data analytics from the esteemed faculty of IIM, Amritsar during the course. After the course, students will be able to explore their career as Data Scientists, Data Analysts and other data mining related fields.   

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 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 Convex Optimization program will prove beneficial for students or professionals in electrical, mechanical, or civil engineering, computer science, scientific computing, Aero and Astro, operations research, and computational mathematics. This advanced-level course is excellent in learning how to solve application-oriented problems in the field of Convex Optimisation. 

The Convex Optimization by edX covers a wide range of topics including, convex analysis, convex sets, linear and quadratic problems, duality theory, minimax, interior-point methods, statistics and machine learning, finance, digital and analog circuits. The course will benefit candidates looking to pursue a career in computer applications or machine learning. 

The renowned Stanford University offers the eight-week Convex Optimization online course. There are video lectures in English and transcripts (also in English) to help you follow along. The course instructors, namely Stephen Boyd and Henryk Blasinski, are highly experienced in computer science, mathematical engineering, and other relevant disciplines. Several Ph.D. candidates will also mentor you as additional instructors.

The Introduction to Adaptive Signal Processing certification course delves into the vital realm of adaptive filters, pivotal in contemporary signal processing, communication, and control applications. Its versatility in handling unpredictable data conditions makes it indispensable in areas like radar, sonar, wireless communications, and more. 

Tailored for students in various disciplines, the Introduction to Adaptive Signal Processing certification by Swayam introduces adaptive filters, closely tied to neural networks and machine learning. The eight-week elective course, backed by industry giants like Qualcomm and DRDO, offers a foundational understanding, preparing participants for advanced studies in this field.

The Machine Learning for Earth System Sciences certification course offers a comprehensive exploration of spatio-temporal statistics and data mining, focusing on their applications in earth system sciences. Intended for final-year undergraduates, postgraduates, and research students, it covers earth system observations, data analytics, and modelling in domains like hydrology and climate.

Prerequisites include mandatory machine learning knowledge, optional deep learning expertise, and a working understanding of earth system science domains. The Machine Learning for Earth System Sciences certification by Swayam caters to both undergraduate and postgraduate levels, fostering a solid grasp of statistical concepts in analysing earth system phenomena.

Also Read: Online Machine Learning Certification Courses

The Google Cloud Computing Foundations certification course provides a comprehensive exploration of cutting-edge technologies, empowering students to navigate the complexities of Cloud Computing and ML. By emphasising practical skills and hands-on experience, it equips participants with a valuable skill set highly relevant to today's technology-driven landscape.

The Google Cloud Computing Foundations certification by Swayam is tailored for individuals with a foundational understanding of IT and a keen interest in delving into Cloud Computing and Machine Learning (ML). Throughout the course, students explore key concepts in Cloud and ML, which contribute to their overall undergraduate academic progress.

Also Read: Online Cloud Computing Certification Courses

The Theory of Computation certification course introduces diverse computation models, exploring their strengths and limitations. It delves into associated language classes and their interrelations, assuming a student's comfort with analytical reasoning and prior exposure to Data Structures and Algorithms. The course is an elective within Computer Science and Engineering.

Catering to computer science undergraduates, the Theory Of Computation certification by Swayam lays a theoretical groundwork by dissecting computation models and their language classes. Its focus on understanding these models' capabilities, limitations, and relationships requires a foundational grasp of analytical reasoning and prior knowledge of Data Structures and Algorithms.

Also Read: Online Data And Computational Science Certification Courses

The Deep Learning - Part 2 certification course covers a comprehensive curriculum that includes an intersection of Deep Learning and Generative Modeling, Restricted Boltzmann Machines, Markov Chains and Gibbs Sampling for training RBMs. The students gain hands-on training from expert professionals in the industry. This course provides from basic to in-depth discussion on the subject.    

The Deep Learning - Part 2 certification by NPTEL course duration is 8 weeks and deep learning is the prerequisite for this course. This course benefits the students to equipped with the necessary skills and knowledge to excel in the deep learning field. The course can be obtained by BE/BTech/ME/MTech/MS/PhD students.

Also Read: Online Deep Learning Courses & Certifications

The Interactomics Certification course is an 8-week online programme offered by IIT Bombay. This course offers an in-depth exploration of protein interactions and computational analysis methods. Students will gain practical skills and theoretical knowledge essential for understanding complex biological systems and conducting cutting-edge research in the field through the Interactomics certification by NPTEL.

The online Interactomics training will provide students with proficiency in network analysis, protein-protein interaction prediction, and more. The course thus offers valuable insights and practical skills to advance students' careers. The course includes hands-on exercises and case studies to engage students with both theoretical concepts and practical applications of interactomics.

Also Read: Online Biotechnology Certification Courses

Applications of Interactomics using Genomics and Proteomics Technologies Certification course is an 8-week course by the IIT Bombay. This course offers a comprehensive exploration of the dynamics of genomics, and interactomics in understanding complex biological systems. The course delves into the fundamental principles employed in genomics and proteomics.

The online Applications of interactomics using Genomics and Proteomics Technologies Certification by NPTEL provides both theoretical knowledge and practical skills in data analysis and interpretation. The course aims to enhance expertise in utilising genomics and proteomics technologies to understand the complexities of molecular interactions in biological systems.

Also Read: Online Biomedical Sciences Certification Courses

The Fundamentals of Wavelets, Filter Banks and Time Frequency Analysis Certification course is an 8-week online programme with a deep understanding of wavelet theory, filter banks, and time-frequency analysis. Students are provided with the fundamental principles underlying these powerful tools through the Fundamentals of Wavelets, Filter Banks, and Time Frequency Analysis  Certification by NPTEL.

Fundamentals of Wavelets, Filter Banks and Time Frequency Analysis Programming online enables the students to learn how to effectively extract time-varying information from signals which will enable them to tackle complex signal processing challenges. Students through the online course will be able to apply their knowledge in diverse fields such as telecommunications, biomedical engineering and more.

Also Read: Online Mathematics Certification Courses

In a progressive statistics world, corporations want individuals who can extract key information from data in order to make smarter business decisions. UCT's Data Science with Python online course helps students build realistic data science and analytical abilities for implementing it in real-world business contexts.

According to a McKinsey report, organizations that have at least one senior leader who has been trained in data are 70% more likely to perform better. The Data Science and Python Training teaches about broadly applicable libraries of python and how these techniques may and are applied in real-world business settings. The course demonstrates the concept of uncovering more robust correlations in order to guarantee that training models are usable.

An NVP report states that 92% of C-suite leaders are expanding their expenditure on Artificial intelligence and Big data. The Data Science with Python syllabus provides statistical understanding, which serves as a basis for understanding the dynamics of artificial intelligence. The course delves into supervised learning algorithms via neural networks and tree-based models, as well as unsupervised learning algorithms of AI via hierarchical clustering and K-means.

FutureLearn offers the Logical and Critical Thinking programme in collaboration with the University of Auckland, New Zealand. It is an eight weeks training course that you can take for free. The course is particularly intended for individuals looking to refine their logical and critical thinking skills. The programme curriculum will help you in identifying and assessing arguments and avoiding common thinking mistakes.

The Logical and Critical Thinking online course is an informative programme for understanding the basic logical tools for analysing arguments. You will learn the application of these tools in various fields, including moral theories, science, and law. The programme curriculum comprises engaging video content, assignments, and articles.

FutureLearn’s Logical and Critical Thinking course can also offer you a course completion certificate. However, it is not part of the free enrolment option. You need to upgrade to receive the shareable digital certificate by paying a certain amount as a fee. It is an eight-week course that has a self-directed training model.

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. 

The Business Analytics & Text Mining Modeling Using Python online course is an 8 weeks program offered by Swayam, a government of India initiative. The goal of this course is to teach students how to utilize text mining techniques to extract data analytics in order to meet corporate goals. With easy-to-follow learning modules, the course explains how to develop, analyze, and compare various models based on actual datasets and scenarios using a Python-based software platform.

The Business Analytics & Text Mining Modeling Using Python training includes industry support from Consultancy and Analytics companies, Big Data companies, Companies with Analytics Division. The course is totally free but if candidates want to receive a certificate, they will have to appear in an examination which costs Rs. 1000. The Business Analytics & Text Mining Modeling Using Python syllabus covers a wide range of topics which includes text mining, data visualization, python, data mining, data science, excel, etc.