List of Online Courses and Certifications

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

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

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 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.

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 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 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.

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.

For candidates looking forward to making a successful career in the big data industry, this certificate course on Big Data Essentials: HDFS, MapReduce and Spark RDD is the best way to get started. This course gives you new tools and reading materials to direct you in the right direction. Technologies like MapReduce, HDFS and Spark are all covered in this certificate by Coursera. The 6 course is of 6 weeks and helps candidates learn the basics of technologies in the Big Data field. It guides you throughout the system internals as well as its applications in the real world.

Candidates can expect to learn about the distributed file system, the reason for their existence and their functions. This course will guide candidates to build a stronger understanding of the big data technology and concepts to better utilize them in their work. The programme focuses on developing skills in learners to learn and use these tools in creating a solution for social networks, finance, telecommunications and other fields.

The Big Data Essentials: HDFS, MapReduce and Spark RDD programme offer relevant assignments that impart practical knowledge and experience to solve the most pressing problems in the field of big data. It presents an opportunity to evaluate the assignments of candidates on a real cluster.

Jigsaw Academy’s Big Data Bootcamp programme is an immersive programme that is conducted both Weekday and Weekend. With end to end career support, in-person interactions and real-life project experiences, candidates will gain an in-depth understanding of the subject as a whole. An ideal opportunity for data scientists, it is the right time to enrol for this programme and learn about advanced technologies.

Since the subject covers a vast pool of information and cannot be completed in very less time, Jigsaw introduced this programme in a 12 week Bootcamp module. The module will help data scientists in strengthening the expertise and skills needed to master the area. Candidates willing to pursue this programme can easily do so by choosing either Weekday or Weekend schedule. The curriculum has been designed to impart valuable learning skills to the students. The course will help students to foster their technical skills and explore new verticals in the professional world. 

Candidates will learn about the implementation of abstract data structures using C++ (object-oriented programming language) and map abstract data types to the Standard Template Library (STL) of C++. The programme conducted in a self-paced mode introduces candidates with types of data structures, their applications, running times, and many more. 

Implementation of Data Structures Certification Course is a 6-week programme that will teach students about writing correct and efficient data structures manipulation using C++. The programme is efficient to teach candidates about various data structure concepts like lists, vectors, deques, programming techniques like tree exploration, sorting using stacks and queues, and many more. Candidates who are having an interest in learning how data structures allow efficient interfaces to certain forms of data access then this programme is for them. 

Certification Course on Algorithms is a course crafted and taught by national award winner experts at IIT Bombay. The use of algorithms as a problem-solving tactic is a significant technical aspect which is important for candidates in the related domain. By pursuing this course, course takers will learn extensively about the structure and use of algorithms to confront real-life problems and explore limitless possibilities in the sector.

As a course separate from the regular classroom teaching, it does not miss out on covering relevant aspects including string, numerical, and geometric algorithms like matrix operations, polynomial multiplication, GCD, subsequences, pattern matching, sweep, and convex hull. Learners will also get insights on graph algorithms like spanning tree and shortest path. The course is primarily based on computer science which will create a drive among learners to think about algorithms and using sorting techniques like merge sort and quicksort.

The course encourages one-to-one participation as the faculty would primarily engage with discussing a problem, creating brainstorming sessions and initiating a discussion among the peers. The faculty also possesses vast practical and research experience in the field of algorithms and data structures for providing students with the best training.

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 Certificate Course in Artificial Intelligence by NIELIT created by the national institute of electronics and information technology, Gorakhpur is a package equipped with course content that is structured by experts to help candidates learn the fundamentals of AI.

In the course duration of 6 weeks, candidates need to devote about 3 hours per day to this course. During this time candidates will be able to learn skills that they can implement in their respective fields in order to get positive outcomes. This course will help candidates learn about python and Artificial Intelligence terminologies, function calls, data types, machine learning, and GUI applications. Certificate Course in Artificial Intelligence will come in handy to the participants who aspire to work in this field. A certificate will be received by the candidates at the end of the Online Certificate Course in Artificial Intelligence that they can display in their resumes and can also post in their CVs that they have uploaded on a platform like LinkedIn to fetch more job opportunities.

Automation has the potential to assist the business to maximize its worth; however, professionals must be able to understand its consequences and have the confidence to use it in their organisations and teams. The Artificial Intelligence: Implications for Business Strategy certification course teaches applicants how to incorporate machine learning (ML) and artificial intelligence (AI) into the company strategy, as well as how to create a road map for execution.

The Artificial Intelligence: Implications for Business Strategy certification by Getsmarter equips applicants with the knowledge to drive AI adoption in business, with an emphasis on the institutional implications and possibilities of robots, machine learning, and natural language processing. Candidates will be armed with the expertise required to convert their firm into a future-oriented, sustainable, and innovative enterprise.

Along with the technical features of Artificial Intelligence and Machine Learning, the Artificial Intelligence: Implications for Business Strategy online course focuses on operational and management implications of AI and ML technologies, as well as how they may be implemented in the workplace.

Materials Data Sciences and Informatics is an intermediate-level course ventured jointly by the Georgia Institute of Technology and Coursera. The system is a flexible one that allows the learners to pursue it in the online mode at their own pace and time. Materials Data Sciences and Informatics Certification Course, offered by Coursera, can be taken by non-English speaking learners too as the subtitles are provided in the languages of, Portuguese (European), Spanish, French, and Russian. 

Materials Data Sciences and Informatics Certification by Coursera is all about the nascent discipline of Materials Informatics that is part of computational, material, and information science. The learners can complete the certification programme within the minimum duration of 9 hours. They can make a deep understanding of data science, informatics, data science in materials science, biomedical informatics and data science, statistics, and the like. 

Spatial Data Science and Applications certification course is a specialized course for the learners seeking for understanding Data Science and its applications. Programming and analysis are needed everywhere. Every big company today needs employees with skills to operate analysis related to data structure and the study of the whole data format. 

Such need and study have brought a new requirement in today’s operating market which helps in gaining necessary information about various aspects of data structure. Topics like DBMS, SDBMS, HDFS and others are explained thoroughly under this course. With flexible deadlines, this Spatial Data Science and Applications online course is a one-stop destination for the learners seeking proper knowledge under this course. 

The duration of Spatial Data Science and Application training course is 6 weeks and is available for the learners with a genuine interest in the subject. 

According to a Deloitte report, 34% of commercial real estate firms in North America want to expand their expenditure in data analytics in the coming year. Real estate investors and professionals can now conduct more accurate property appraisals than it has ever been, just because of data analytics and machine learning. The Data Science in Real Estate online course is designed to help students develop data science abilities in the constructed environment's context.

According to a PwC report, 55% of commercial property CEOs think that leveraging data to improve customer satisfaction and generate a competitive edge is a top priority. Throughout the Data Science in Real Estate training, renowned MIT academics and industry professionals teach how to use statistical approaches to uncover crucial insight into factors that influence development prospects and real estate investment.

The Data Science in Real Estate syllabus teaches students how to assess and organize data, extend data sets, and build a variety of models that could be used to evaluate industry patterns and anticipate real estate values.

A Business Wire report states that 99% of Fortune 1000 firms are investing in data efforts. Big data has revolutionized and continues to revolutionize the global corporate landscape, analysts and data scientists are emerging as valuable assets inside enterprises. The Data Science Essentials online course is designed to teach students the principles of data science as well as the needs of big data analytics.

According to a Research and Markets report, The worldwide worth of the big data analytics industry is expected to be $105 billion by 2027. Working professionals and managers must now grasp the ideas and benefits of data science and utilize it to influence company choices as well as retain and recruit the appropriate personnel to drive transformation. The Data Science Essentials Training teaches the fundamentals of data science for enterprise, helping applicants to identify the value of its technology and use it to achieve success.

The Data Science Essentials syllabus supplements decision-making skills by emphasizing non-technical abilities such as data science project management and execution. This course, led by I School specialists, prepares business executives to grasp the function of data science, its potential relevance for the development of the firm, and how it may be applied in business processes.

The Introduction to Machine Learning certification course is offered by Duke University. It will help you know your strengths and apply your skills in the most efficient manner to get work done. It will give you additional knowledge that will make you more confident in your work and perform better at your workplace or start your own business. 

The course will give you a brief overview of machine learning models like natural language processing, logistic regression, convolution neural networks, and multilayer perceptrons, while also explaining how these models can be put to use for solving technical problems in various industries like medical, image recognition, and text prediction. 

It is a combination of practical as well as theoretical knowledge about Machine learning, that will provide you with a framework for understanding how you can implement data science models and machine learning algorithms. The  Introduction to Machine Learning Training Course will allow you to work on a real-world hands-on project that is required in the fast-developing technological world. 

According to a Hackernoon report, 74% of decision-makers, corporate owners and IT executives believe machine learning has the ability to transform their work and sector. Companies that use machine learning to enhance organizational performance and improve the decision-making process have clear benefits over those that do not. The Machine Learning online course aims to provide candidates with the knowledge and skills needed to comprehend the effect of machine learning and effectively articulate its integration.

It has never been simpler for businesses of all sizes to leverage the value of data. Introduction open-source and free Artificial intelligence and machine learning technologies. Embedding machine learning technologies into an organisation effectively necessitates a practical grasp of its concepts. The Machine Learning training teaches about the various types of modelling concepts used in machine learning. The Machine Learning syllabus focuses on determining the models, methodologies, and ethical implications of machine learning techniques, as well as presenting an economic case for using them in the firm.

This Data-driven Astronomy online course is designed and developed by the University of Sydney for the candidates to learn on the Coursera online education platform. This physical and astronomical course is expected to be completed by the students in twenty hours entirely. The intermediate-level course is a study about the scope of data science in the field of astronomy and the role of tools and techniques of machine learning that are used to understand the data. 

In the Data-driven Astronomy training course, the candidates are provided with the opportunity to know and comprehend the problems that may arise while handling large datasets, the strategies to use algorithms, and the ways to use the different programming languages and software tools to decipher the data. 

The course instructors for this online certification course are associate professor Tara Murphy and Simon Murphy, a postdoctoral researcher at the school of physics at the University of Sydney. 

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.