List of Online Courses and Certifications

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

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 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. 

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. 

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.

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.

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.

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.

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. 

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 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. 

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.

Databases contain much of the world's data. Structured Query Language or SQL is a robust language used to extract data and communicate with databases. If you are looking to build a career as a data scientist or in a related field, the Databases and SQL for Data Science with Python course is ideal for you. This training will help you understand the SQL language’s foundational and relational database concepts. You will also learn about conducting SQL access in a data science environment. 

The Databases and SQL for Data Science with Python certification syllabus concentrates on practical and hands-on learning. You will have the opportunity to work with real-world data sets, real data science tools, and real databases. There will also be periodic practice and graded quizzes for motivation and evaluation. 

Databases and SQL for Data Science with Python certification does not need any prior knowledge of Python, databases or SQL to join. You will have flexibility with the course material and audit it for free. Upon completion, you can also receive the shareable certificate if you choose to pay for it.

Along with the University of Colorado, Coursera has created Data Warehouse concepts, design, and data integration for working professionals involved in software engineering or business analytics. Through this programme, the candidates would come across theory and ability for drafting data warehouses and constructing data integration workflows. These are some prominent skills required for data warehouse administrators and developers. The candidates will get firsthand experience in designing a data warehouse and utilizing open-source resources for operating pivot tables and drafting data integration workflows.

This programme is recommended to professionals involved in information or business technology and aspires to become a data warehouse administrator or designer. The participants would gain knowledge about architectures, maturity models, management practices, and multidimensional models that provide an organizational view regarding data warehouse development. To complete the graded assignments, they can either use Oracle, PostgreSQL, or MySQL. Through this course, the candidate would construct data integration workflows and data warehouse designs to convince the business intelligence requirement in an organization.

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.

Bayesian Statistics will help the participant to understand the necessary bayesian concepts from a practical point of view for better decision making. The participants will learn how the Bayesian approach is used to estimate likely event outcomes or probabilities using datasets. This Bayesian Statistics course is being offered by IIM Bangalore. This Bayesian Statistics course is delivered through their digital learning platform IIMBx.

The duration of this Bayesian Statistics course is six weeks. The participants will learn the foundations of bayesian concepts, contrasting them with classical statistics. The curriculum is being bifurcated into theoretical and empirical segments. Once the participants have completed the Bayesian Statistics course they will have a comprehensive understanding of the Bayesian approach.

The Introduction to Non Linear Dynamics certification course introduces students to the complexities of dynamic systems through analytical methods and real-world examples. It offers a practical understanding of phenomena in physics, biology, chemistry, and engineering, covering topics like bifurcations, phase plane analysis, and limit cycles.

Students will explore the behavior of one-dimensional and two-dimensional flows, learning about stability analysis, classification of linear systems, and the dynamics of oscillators. The Introduction to Non Linear Dynamics certification by NPTEL equips students with analytical skills and problem-solving abilities crucial for navigating nonlinear phenomena in diverse scientific contexts.

Essential Tools For The Low Carbon Economy course by edX guarantees that course takers will become familiar with each and everything about the low carbon economy. It will assist them with several professional concepts such as various climate change policy responses, comparing projects based on emissions reduction, comparing projects based on cost, analyzing your company’s carbon footprint, participating in emission trading schemes, and so on.

Edx made this course in a joint effort with the University of Queensland which is one of the best research and teaching institutions in Australia with the end goal that competitors will have an expert class learning experience. The Essential Tools For The Low Carbon Economy certification course is planned by experts so course takers will handily comprehend and become accustomed to the low carbon organization and foundation. 

Essential Tools For The Low Carbon Economy course accompanies adaptable choices of Self-paced preparation, Online exams, Graded assignments, Projects, and Discussion forums with the end goal that competitors can pick their favoured way of learning. It is likewise lined up with the most recent 2020 version which ensures that everything is forward-thinking. This program makes the best speculation for individuals who need to make a fruitful career in the industry.

The course provides two varied environment options for the learners; verified and free audit. In the free audit track, the learners can access the programme only for a limited period of time.