List of Online Courses and Certifications

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

Getting Started with SAS programming course certification is for the learners who want to acquire skills and gain knowledge about SAS programming. This course is helpful for learners who are just beginners. The SAS programming language is a system programming language which is operated for statistical analysis. It can easily be used as common spreadsheets and databases for better understanding of the contents. SAS programming language is most commonly used in the commercial market and is open-source software. 

SAS stands for Statistical Analysis System. It is a software suite developed to ease statistical and commercial market analysis. SAS programming can easily process complex data and give out various insights that help in better decision making or predict possible solutions for the problem.  SAS is a very powerful analytics programme for various organizations who needs an urgent solution from their data. SAS provides a bunch of analytics solutions and helps by providing industry knowledge for easy access to the solutions. 

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.

The Business Analytics for Decision-making online course is developed for the students to gain a detailed understanding of the statistical skills and analytical knowledge required for business management and development. The online program is provided by the Indian Institute of Management Kozhikode in association with the Eruditus Executive Education. The course is conducted for Eight weeks and the students are expected to spend four to five hours every week to complete the course. 

The course study is directed by Prof Anirban Ghatak of the department of economics at IIM Kozhikode and Prof Soumya Ray of the quantitive methods and operations management at IIM. The students are engaged with discussions and concepts of analytics and business strategies for data-driven decision-making. The eligible students of the ‘Business Analytics for Decision-making’ online training program are given the course certificate after completion of the course. 

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.   

The Data Science for Business Leaders course by Udacity imparts knowledge to the candidates in various techniques and technologies in data sciences field that would help them to improve their decision-making skills in a technical or IT environment. Data Science for Business Leaders training starts by providing an introduction to Data Science and talks about human capital in data science and business cases in Data science. Concepts in Machine learning are also taught in brief.

This Data Science for Business Leaders syllabus covers concepts like area, types of model, approach, and strategies that involve launching data science projects. Project works are provided and the candidate has to figure the cost, complexity, risk, likelihood and importance of that project. Participants would be able to identify the strengths and weaknesses of business data by taking Data Science for Business Leaders classes . 

The management strategies that are involved in the successful completion of a project are also discussed. Data Science for Business Leaders certification will help the candidate to know about data scientists and what is possible through data science.

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 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

Python is a strong open-source language with extensive data analysis and manipulation packages. This Python for Data Analytics online Course covers both projects and concepts of Python like writing python scripts, Data Structures & Types, sequence and file operations, Data Wrangling, Graphs & Plots, Statistical Computation, etc. 

This Python for Data Analytics training will also provide hands-on experience with some of the most essential and commonly used Python programs, such as Numpy, Pandas, Matplotlib, Scipy, Anaconda, and others. Developed specifically in conjunction with academics and AI industry specialists to retool and reskill working professionals in the field of Artificial Intelligence. 

This Python for Data Analytics syllabus includes Live-Interactive Online Lectures, Skilled Faculty-Led Sessions, and Project Based Studying. The program's material and structure were developed in conjunction with industry professionals. Python is the language of choice for Robotics, Artificial Intelligence, and Web Development. Python has been utilized in computer science as well as in highly statistical sectors such as transportation, healthcare, finance, and retail. 

In Building Deep Learning Models with TensorFlow course, learners will obtain a hands-on experience with the TensorFlow library as a strong mechanism for the application of Deep Learning to real-world issues. 

The course efficiently combines Machine Learning and Data Science to impart an all-rounder learning on building Deep Learning models. As a part of the IBM AI Engineering Professional Certificate, students will grasp all fundamentals of Machine learning and Deep Learning, including the use of Python. 

Hands-on projects will provide the course takers with essential Data Science skills and unsupervised learning. Candidates will also build, deploy and train their Deep Learning models and adopt various features of the TensorFlow library in them. Since the majority of data in the world is unstructured and unlabelled, shallow neural networks find it difficult to capture structures in data comprising sound, images and texts. 

However, deep networks are capable of performing this function and hence this course has been created to provide an Intermediate Level of knowledge of how to go about it. IBM is a major player in the industry by providing a broad portfolio to its trainees for software development, predictive analytics, and systems management. Its expertise in technology and R&D is incorporated into the course curriculum.

The Advanced R Programming certification course is the second one in the ‘Mastering Software Development in R Specialization’ series offered by Coursera. The course curriculum explores the advanced topics such as functional programming in R, object-oriented programming, robust error handling, profiling and benchmarking, debugging, as well as the proper design of functions.

The Coursera Advanced R Programming online course, offered in collaboration with Johns Hopkins University, aims to prepare students for unique data challenges and to identify everyday data analysis tasks. They will also learn how to define new data types in R, create functionalities specific to these for enabling cleaner execution of tasks related to data science, and stronger reusability within a team. All this is taught through pre-recorded videos, readings, graded quizzes, and assignments, for a valuable learning experience.

Furthermore, the Coursera Advanced R Programming online course is designed, keeping in mind the convenience of students. Hence, the modules are self-paced and entirely online to help students learn from the comfort of their own space. Upon satisfactory completion, participants get a \shareable certificate.

The "Practical SAS Programming and Certification Review" programme by Coursera is offered by SAS. The programme is ideally pursued after the candidates have completed two SAS programming courses prior to enrolling in this programme. By pursuing the previous programmes, the candidates will get an edge and insight into how to solve problems in a real-world or a present business environment. The candidates are imparted skills and abilities to help them pursue SAS Certified Specialist Base Programming Using SAS 9.4 exam. Candidates during their programme tenure will get a comprehensive understanding and knowledge around different areas namely, SAS Programming, TSA Claims Data and many others. The course is spanned across a time duration of 20 hours which will be imparted via different modes of learning such as videos, audio, recordings, pre-recorded content, practice exercises and many others. 

The Science of Success: What Researchers Know that You Should Know certification is nothing but an online course found on the FutureLearn provider platform that has been arranged by the University of Michigan that has a rank 1 in the list of the best public universities. This course on Psychology and mental health will help predict what success is exactly, and how one can achieve it for a happier life.

The components covered in this The Science of Success: What Researchers Know that You Should Know certification syllabus are expert content on the scientific research that people who are successful in their lives follow religiously. Again only if the candidates are intelligent then they will become successful is a myth. 

The Science of Success: What Researchers Know that You Should Know training will ensure that candidates do not consider intelligence quotient as the only factor for success. Also, the beliefs that are widely accepted are not always helpful for the achievement of goals.

Big data is the enormous amount of data that organizations have access to as a result of its scale and complexity, which makes it difficult for many analytics tools to handle or evaluate. The amount of data acquired, the frequency at which it is made available to an organization for evaluation, and the complexity or variety of that data can all be aided by tools for big data. The Google Cloud Big Data and Machine Learning Fundamentals online certification was created by Google Cloud and is taught by Google Cloud Training, which is provided through Coursera.

Google Cloud Big Data and Machine Learning Fundamentals online classes introduce the learners to the methods associated with big data and machine learning services on Google Cloud and products that enable the data-to-AI lifecycles. The Google Cloud Big Data and Machine Learning Fundamentals online course covers the steps, difficulties, and advantages of establishing a big data infrastructure and machine learning models using functionalities of Vertex AI on Google Cloud as well as the characteristics of tools like Qwiklabs, Apache Beam, AutoML, TensorFlow, BigQuery, and others.

The Microsoft Power BI Training course is an introductory course in Power BI Desktop and how to use it with Power Pivot for Data Modelling. The course will introduce you to Power BI Q&A, as well as Data Visualisation and Data Analysis Expressions (DAX), with Power BI Desktop to explore, discover and visualise enterprise data with the employment of Natural Language.

The Microsoft Power BI Training Programme also covers topics such as Business Intelligence, Flow of Power BI, Matrixes and Tables, Power BI Q&A, Row-level Security, and many more. Upon completion of the training, you will become proficient in concepts like Data integration and visualization, exploring Power BI Q&A, using content packs, data gateways, and Power BI Report Server.  

Moreover, as a part of the course, you will receive 27 hours of live online instructor-led classes and 3 hours long 9 sessions of weekend classes. Furthermore, you will have lifetime access to all the online resources, 24x7 expert support. Upon completion of the course, you receive a "Business Analyst using Power BI" certification from Edureka.

The Introduction to Data Analytics for Managers course has been gaining popularity due to the heavy reliance on data by industries worldwide. Companies have been leveraging varied data sources such as big data to a large extent to maximize the company’s performance. The course curriculum also gives a run on the different facets of machine learning. 

The Introduction to Data Analytics for Managers certification program will carry a curriculum filled with various case studies. These will give hands-on learning about how different businesses use data analytics to their advantage. Through them, you will also understand the application of data analytics in a better way. 

The Introduction to Data Analytics for Managers online program by Edx is taught by two experienced faculties members, namely Amitabh Sinha and Sanjeev Kumar. The course is best for students who want to deep dive into the web-based graphical development environment. EdX presents this course in collaboration with the University of Michigan. There are two enrolment options for joining this programme, namely, paid and free. In the free option, the candidates can access the program only for a limited duration of time. 

Aspirants learn the three core concepts of Machine Learning- advanced algorithms, high-speed computation, and extracting quality data by taking up the Online Certification course in Data Science and Machine Learning. The National Institute of Electronics and Information Technology, Chennai, is providing the programme. It is aimed to develop the skills required for Machine Learning Technologies by using Python for data analysis, design visualisations, and problem-solving ML algorithms. 

The online Online Certification course in Data Science and Machine Learning classes is spread across six weeks. It will teach automation techniques for smoother transitions in everyday life across five learning modules. NIELIT’s Data Science and Machine Learning certification programme includes case studies and projects that are updated with industrial innovations. A certificate becomes available to the candidate on completion of the Online Certification course in Data Science and Machine Learning.

Mr Ripunjay Singh will be the instructor on the Data Science and Machine Learning programme by NIELIT. It requires candidates to dedicate one hour of learning on the weekdays from 5 PM to 6 PM. The Online Certification course in Data Science and Machine Learning programme is packed with mini assignments and projects with analytics, data science, python programming, statistical learning, and machine learning.

Businesses will have to make significant investments in new resources to better satisfy the expectations for privacy protection as people become more aware of how their personal data is used. Contingency planning is the best solution for businesses that want to stay on top of regulatory requirements. The Privacy Law and Data Protection online course provide an in-depth overview of privacy regulations in the United States.

According to the Pew research centre survey, 81%, or almost four out of every five Americans, feel that the hazards of data collecting outweigh the advantages. The six-week Privacy Law and Data Protection training helps applicants research cybersecurity and privacy regulations in order to better safeguard data, minimize risks, and stay compliant.

Students will get a full grasp of the regulations connected with each other by investigating the variations between public and private data. Students will also look into medical privacy rules, such as the Accountability Act (HIPAA) and Health Insurance Portability, to see how they affect company privacy standards. The Privacy Law and Data Protection syllabus provide an overview of the data protection law road map that any business may utilize to assist develop effective privacy policies.

Here most standard combinatorial settings are addressed in the Combinatorics and Probability course that can help answer questions of this nature. In particular, this course focuses on improving the ability to differentiate these settings from algorithmic problems in real life. This will assist candidates to apply new knowledge in practice. Besides that recursive counting technique that is necessary for algorithmic implementations is also addressed here.

The Combinatorics and Probability course is part of Introduction to Discrete Mathematics for Computer Science Specialisation. There are total of five courses in it and Combinatorics and Probability is the second one. The language of computer science is known as Discrete Mathematics. In many areas including data science, software engineering and machine learning, one needs to work fluently. Via a fun approach, candidates are introduced to this language. Firstly they will solve several interactive puzzles that are specially designed especially for this online specialisation. Then actual solving methods and significant ideas will be introduced to them. It is sure that candidates will gain a deeper understanding in this way and will appreciate the beauty of the underlying concepts better. Programming examples, projects and problems are integrated into the specialisation in order to get the knowledge closer to IT applications.

The Machine Learning with Python certification course offered by IBM is a comprehensive program designed to introduce learners to the basics of machine learning using the Python programming language. Machine Learning with Python programme offered by IBM is the 13 hours (approx.) duration certification course having 6 moudules in total where students can learn on their own pace.

The Machine Learning with Python  certification course, offered by IBM via Coursera, is the intermediate level programme where students will learn classification techniques using different classification algorithms, namely K-Nearest Neighbors (KNN), decision trees, and Logistic Regression. You’ll also learn about the importance and different types of clustering such as k-means, hierarchical clustering, and DBSCAN.  Machine Learning with Python certification course offered by IBM helps the students to learn new concepts from industry experts and develop job-relevant skills with hands-on projects along with shareable career certificate from IBM.

The Python with Data Science and Machine Learning certification course will help you master the core concepts of Python's programming language. It will deep dive into how Python can work on various data structures. The course will also teach the candidates how to use data to plot graphs.

The Python with Data Science and Machine Learning certification programme also gives an insight into one of the modern concepts of the digital revolution, Machine Learning. The course will cover the theoretical framework of various machine learning models and how to apply them efficiently and help to learn the core concepts in practice. 

Besides, the Python with Data Science and Machine Learning online programme by NIELIT Chandigarh is perfect to learn about the upcoming industrial trends in Data Science and Machine Learning, which will equip you with the knowledge to get better career opportunities. The course is taught by an experienced faculty and will be an immersive learning experience. 

The Reinforcement Learning System (Capstone) certification course is a part of the ‘Reinforcement Learning Specialisation’ programme available on Coursera. This course is the 4th and final course in the series and aims to provide the students with complete practical knowledge on how to carry out Reinforcement Learning solutions in the real world.

In the Reinforcement Learning System (Capstone) online course, students will gain well-rounded and application-based skills that will help them in implementing Reinforcement Learning. They will complete the entire Reinforcement Learning problem-solving process – starting with the formulation of a problem, assessing the appropriate algorithm for the problem, and validating the impacts of the algorithm.

The Reinforcement Learning System (Capstone) programme by Coursera is suited for anyone who is expected to perform RL solutions in their field, along with the knowledge of skills like Machine Learning and Reinforcement Learning. The candidates will delve deep into the formalisation of a problem and how to translate it into an MDP. Finally, they will submit their Parameter Study towards the end of the course.

Algorithms on graphs is a much-used concept in navigation services and has thus found supreme applicability in the current scenario. Whether it be road networks, social networks or computer networks, this domain offers a lot of scope for learning, especially for engineers. To think of the fastest time to commute, people often resort to a connected set of computers which are strewn through an efficient algorithm or a dense network. This also helps in detecting communities and leaders on Facebook.

Algorithms on Graphs course is one another valuable offering by Coursera which delves deep into the insights of graphs and its varied properties. Candidates will learn traversing graphs and orderly traversing of the same to perform meaningful tasks. Discussion on shortest paths algorithms from basic level used to open doors till faster ones used in Google Maps will be conducted. Pursuing this course will also help candidates in pursuing Fast Shortest Routes industrial capstone projects if they wish to.

This course concludes with minimum spanning trees utilised in road planning and telephone and computer networks.

Coursera offers the Functional Programming Principles in Scala online course in association with EPFL (École Polytechnique Fédérale de Lausanne) which is a renowned research university in Lausanne, Switzerland. The instructor for this course is Professor Martin Odersky, who has devoted most of his career to programming languages. Learn from Prof. Martin and get the best educational experience in the field of functional programming.

The Functional Programming Principles in Scala course has modules spread out over 6 weeks; the course can be completed in approximately 45 hours. Discover the components of functional programming style with this comprehensive curriculum and apply them practically. 

Besides, the Functional Programming Principles in Scala certification course also promotes interaction and improvement of one’s core abilities in a fun and relaxed way. Enjoy intermittent programming assignments to get a grip on the practical aspect of the course. Coursera will award you a certificate upon successful completion of this course, allowing you to share your skills and specialization.