List of Online Courses and Certifications

The course of inferring causal effects from the observational data offered by the platform of Coursera is free of cost course. The enrolled candidate can get a certificate for this course after paying a fixed amount according to the guidelines of the Coursera platform. The duration for this course is 5 weeks. This course is taught under the guidance of experts from the University of Pennsylvania. The E-certificate is available after the completion of this course.

The enrolled candidates will be provided with all the quizzes, assignments, video lectures, web links for books and references. As this course is free of cost and online, it is easily accessible for all the sections of society. Financial aid is also provided. The course of inferring causal effects from the observational data is highly recommended for all the students, teachers and researchers who are interested in this field. Financial aid is also available for all learners who cannot afford the fee. Total 33 percent of people started a new career after completing this course and 29 percent of them got career benefits after pursuing this course.

Taking the Introduction to Graph Theory certification course will provide you with useful insights into how engineers design integrated circuits and how GPS systems find shortest routes. You will also learn why a political map can only be coloured using a few colours and how biologists assemble genomes. The course curriculum includes the Ramsey Theory, which proves that complete disorder is impossible in an extensive system.

Additionally, the curriculum for the Introduction to Graph Theory certification course will cover a wide variety of graphs, including Airlines Graphs, Directed Graphs, Bipartite Graphs, and more. You will become adept in applying various algorithms to solve real-world problems via practice exercises and hands-on projects. 

Moreover, National Research University Higher School of Economics and the University of California and San Diego are offering the Introduction to Graph Theory programme jointly. As a result, candidates will be able to find better career opportunities upon course completion. 

The Introduction to Graph Theory online course is highly suitable for professionals working in the IT sector and IT aspirants.

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.

Developing a comprehensive insight into the level of understanding of artificial intelligence (AI) and how to distinguish between reality and hype Artificial intelligence is the modelling of human intelligence processes by machines, especially computer systems. 

The Artificial Intelligence: Distinguishing Between Fact and Fiction course explains how to learn different elements of human intellect and differentiate between the claims and existing realities of AI. The Artificial Intelligence: Distinguishing Between Fact and Fiction certification was developed by Coventry University, which received five QS Stars for Teaching and Online Learning, which is offered through FutureLearn. Artificial Intelligence: Distinguishing Between Fact and Fiction training is a comprehensive programme that comprises two weeks of open-level digital lessons, operates entirely online with an unlimited membership and teaches about the characteristics of human intellect as well as the reality of AI.

Deep learning, also known as deep neural learning or deep neural network, is an artificial intelligence functionality that resembles the functioning of the human brain in digesting data and developing correlations used in decision making. Deep Learning and Computer Vision online certification is designed by Board Infinity, an online educational platform for job applicants and learners that will assist them in realizing their full potential to achieve their career goals. 

Deep Learning and Computer Vision online course focuses on providing a hands-on experience of the core concepts and principles associated with deep learning and computer vision. Deep Learning and Computer Vision online classes include a variety of data science topics, including natural language processing and neural networks, such as convolutional and recurrent neural networks. Candidates will have developed competencies in technologies such as OpenCV, Jupyter, Tensorflow, Python, Numpy, and others by the end of this course.

The term ETL describes a set of procedures used to extract data from one system, change it, and load it into a target network. A more general name for any group of operations that transfer data from one system to another, possibly transforming it along the way, is a data pipeline. ETL and Data Pipelines with Shell, Airflow, and Kafka certification course is developed by IBM Skills Network and taught by Yan Luo - Ph.D., Data Scientist & Developer, Jeff Grossman - Certified Instructor, Sabrina Spillner - Senior Instructional Designer & Content Developer, and Ramesh Sannareddy - Data Engineering Expert, which is made available by Coursera. 

ETL and Data Pipelines with Shell, Airflow, and Kafka online training is designed to help the students gain an understanding of the two different approaches to converting raw data into analytics-ready data including the ETL process and ELT process. ETL and Data Pipelines with Shell, Airflow, and Kafka online course explains the differences between ELT and ETL processing, identifies instances for each, and goes over the procedures and tools needed for extracting data, combining it logically or physically, and importing it into data sources.

“Everyday Excel, Part 2” is the second part of the famous “Everyday Excel” training programme. Intensifying on the theories studied in the first course the learners will carry on expanding their knowledge in the uses of Excel. Although this training program is intended for intermediate users, advanced users too will benefit from it, in learning new tools and skills in Excel. After finishing this course, the candidates will possess enough skills to take up part 3 of the series Everyday Excel, which is project-based.

This specialisation series, which is divided into three parts aims to teach the candidates basic as well as advanced tools in Excel.  This curriculum is intended to be intriguing and enjoyable. It aims to encompass a wide range of learners so that a variety of experiences and abilities come together to teach something new to everyone.

A distinctive characteristic of this course is the compulsion to complete weekly assignments in the application itself, i.e. in Excel, which will push students into hands-on learning.

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.

development. If a substantial amount of information is stored in different databases, either in the cloud or on-premises, web developers will use a language like SQL. Django is a high-level Python web framework that makes it easy to build secure, easy-to-maintain websites quickly. It also allows one to concentrate on writing applications without having to reinvent the wheel. Django Application Development with SQL and Databases certification course is designed by Yan Luo, Ph.D. a data scientist and web developer at IBM Canada, and Rav Ahuja a global program director at IBM, and is presented by Edx.

Django Application Development with SQL and Databases online classes offers two weeks of digital lectures with six to eight hours per week of study and learning resources which are aimed at individuals seeking to learn about the fundamentals of SQL, a programming language for querying data, managing data, as well as the fundamentals of cloud databases, Object-Relational Mapping (ORM), and using Object-Oriented Programming (OOP) languages to deal with databases. Applicants will be introduced to Django, which is a rapid and efficient open-source web framework utilized by developers.

The Django Application Development with SQL and Databases online training is designed to recognize the database and how to model data, and create SQL queries to insert, select, update, and delete data in a database. The aspirant will comprehend the object relationship model (ORM), and integrate bootstrap into the Django framework which creates interactive web pages, as well as the participant, will assess Django to design database-driven apps, including creating and deploying a cloud-based Django application. Learners can select either the free audit track with limited access or upgrade directly to the paid verified track

Introduction to Social Determinants of Health Certification Course being offered by the University of Minnesota which is amongst the largest public research universities in the United States, through Coursera under the Social Determinants of Health: Data to Action Specialization is taught by instructors Daniel J. Pesut and Karen A. Monsen, professors at The University of Minnesota.

The course Introduction to Social Determinants of Health, helps in defining the social determinants of health, understanding how our definition of social determinants has changed over time and evaluating the effect of health inequity on society at large. 

Introduction to Social Determinants of Health Certification by Coursera evaluates a large pool of ideas to address health inequities in the society. The course teaches us to review different ways of using community knowledge to augment data and influence health-related policies. The Introduction to Social Determinants of Health Certification Benefits the learner by enabling him to assess and evaluate data and foster partnerships which can be leveraged to create a transformative change in health-related policies.

Also read

• Health Informatics Courses
• Data Science Certification Courses
• Data Analytics Certification Courses

The business analytics 360 courses is designed and provided by the online education provider platform Analytixlab partnered with IBM for the dual certification. This online program is scheduled for the students in three different modes that include live sessions, online learning, or self-study. The modules are taught through thirty-three classes which will require the students to spend three-sixty hours.

The course study is about the primary statistical concepts and principles to the advanced level of analytics along with the predictive modeling strategies. The candidates can upskill themselves to establish their career associated with business analytics and counter real-world challenges. 

The interactive sessions and doubt resolution support the students and aid in their experiential learning of data science and business analytics. The business analytics 360-course training helps the candidates gain professional guidance for career development. The course modules consist of assignments and capstone projects, which ought to be completed by the candidates to receive the certification.

The Data Science for All online course is developed under NIT Patna's joint online faculty development programme. Expert professors in the country are responsible for planning and organising the curriculum. The programme's curriculum is rather advanced so that applicants can learn better and develop themselves. In order to make them stronger, the Electronics & Information and Communication Technology Academy (E&ICT) of NIT Patna are conducting the Data Science for All class programme for faculty, PhD researchers and others.

7 academies of Electronics & Information and Communication Technology (E&ICT) were founded by the Ministry of Electronics and Information Technology of the Government of India. Data Science for All certification course of NIT Patna intends to construct and integrate basic and advanced training programmes in the speciality areas of electronics and ICT in order to enhance the skills, knowledge base and necessary resources to augment the teaching society with greater knowledge.

There are 18 NITs established by MHRD, the Government of India. The institute has always offered its students with high academic excellence. Participation in NIT Patna's Data Science for All programme will prove useful to all candidates.

The Advanced Optimization Techniques and Hands-on with MATLAB/SCILAB course is being offered by the Electronics and ICT academy at National Institute of Technology Patna. It has been set up under the scheme of Department of electronics and information technology. It is a Joint Online Faculty Development Programme.

National Institute of Technology Patna, provides an opportunity of educational training, development and research in science, humanities and engineering technology along with education at UG, PG and PhD level. This course has been designed to provide the learners with an understanding of the various concepts of optimization. 

They will learn the fundamentals of optimization and the various methods used for optimization such as the graphical method, the simple method, Multi-modal function Optimization, Multi objective Particle Swarm Optimization, Hybridization of optimization techniques with Neural Networks and Deep Neural Networks and Benchmark mathematical function optimization.

This course is beneficial for the students who wish to gain knowledge about optimization techniques and advance their career in this field of industry.

The data science with Python course is developed and offered by the online education provider platform Analytixlab in partnership with the International Business Machines Corporation(IBM) for dual certification for the candidates. This online program consists of 320 hours of course study and eight to ten hours of self-study required by the students every week.

The course curriculum is focussed on the methods of using the Python programming language for data analysis and enables the candidates to acquire the data science skills which can be referred to as descriptive and predictive analytics done with the help of data manipulation techniques and sources from statistical libraries.

The Python programming language drives the application of web analytics along with the techniques of machine learning and artificial intelligence in the field of data science and this significance of Python is studied by the candidates during the course.

The experimental projects and course exercises enhance the practical learning experience of the candidates in data science with Python course training.

The Learning path in Data Science certification course is one among the lengthiest computer science courses available in the country, and it has expanded with the growing computer science industry.  The Learning path in Data Science online course by FutureSkills Prime is intended for candidates who want to enhance their knowledge and skills in data science activities.

Learning path in Data Science online classes contain 200 hours of video-based training led by an expert data scientist who teaches about machine learning, data visualization, and several technologies that allow candidates to work on their data science project, including Python, Jupyter, Anaconda, Numpy, Matplotlib, Seaborn, Tableau, Excel, Power BI, MySQL, and many others. Candidates will also receive two certificates of completion from the Board infinity and FutureSkills Prime upon satisfactory completion of this course.

The Data Science Using Python course was developed by Digital Vidya and is given by FutureSkills Prime which is focused on teaching candidates about data science and machine learning using Python. The Data Science using Python online course is designed to teach the concepts and principles of data analysis and data visualization using the Python programming language.

Data Science Using Python online classes by FutureSkills Prime and Digital Vidya offer 176 hours of prerecorded video-based lectures structured into 7 stages, beginning with the fundamentals of Python and progressing to topics such as Numpy & Pandas, as well as the data visualization in Python covering all chart types along with Matplotlib and Seaborn, and finally, the fundamentals of machine learning using Python. By the end of this program, candidates will learn how to use Microsoft Excel, Structured Query Language, and Power BI to perform various analytical approaches and data visualization.

The Machine Learning with Python certification course is a 175 hours short course that is prepared and presented by the Topcoder Academy. This programme is spread over 3 distinct modules that are taught for 15, 10, and 150 hours respectively. With this course curriculum, the candidates will be able to apply the different machine learning concepts to practical use in their job fields.

In the Machine Learning with Python training, the candidates will be able to use the TensorFlow framework for building several neural networks and also explore more advanced techniques like reinforcement learning, and natural language processing. Moreover, the candidates are introduced to concepts like neural networks along with principles behind how recurrent, and deep neural networks work.

Though data analysis has been around in the industry for quite a long time now and has been using expensive, and closed-source tools like Tableau. But only until recent years have developers been practicing data analysis using open libraries like Python, and SQL. This Data Analysis with Python certification course is a short-term programme launched by Top Coder Academy. The course takes around 170 hours to get completed that is taught over 3 modules. 

The Data Analysis with Python training is ideal for anyone having no experience in this industry. Data analysis is actually one of the most basic skills that one needs to learn to stay competitive in data science or another data-oriented path of learning. Thus this certificate course is an ideal option for adapting to these skills.

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. 

The Applied Data Science Capstone course is a great course to understand the working life of a data scientist through hands-on and practical training. You will be exposed to a host of processes and applications such as learning about location data and data providers like Foursquare and making RESTful API calls to retrieve data from Foursquare API. 

If you do not have access to readily available data, the Applied Data Science Capstone online course will teach you how to scrape web data and parse HTML code. You will be able to refine your exploring and data analysing skills using Python and its panda libraries. Finally, to communicate your results and findings, you will use the Folium library and access maps of geospatial data.  

Applied Data Science Capstone certification can be audited for free. The course is offered by IBM and will be taught by Alex Aklson. The course also provides certification and financial support if you cannot pay the programme fee. 

The Data Science certification course duration is 1 week. This programme is a beginner-level course and candidates can learn at their own pace with flexibility. The course focuses on providing the fundamentals of data science and its significance in today's data-driven world. Students will gain advice from data science professionals and data scientists.

The certification programme equips the students with Data Science, Big Data, Machine Learning, Deep Learning and Data Mining skills. The Data Science certification by Coursera a foundational understanding of the subject or tool. They will also learn new concepts and gain hands-on projects. The course is taught in English but is also available in 22 other languages.

Also Read: Online Data Science And Machine Learning Courses & Certifications

In the present times where the advances in technology have shifted to IoT (Internet of Things), the concept of Deep Learning can be foreseen as one of the crucial ones, to be understood and well researched. Deep learning is faster and easier to develop and deploy as well. The Introduction to Deep Learning & Neural Networks with Keras certification course, the participants will get a deep insight into the Deep learning models. Furthermore, they will also be able to create models of Deep learning by making use of the Keras library.

The entrant will be introduced to exhilarating applications of Deep Learning. They will be learning about various deep learning algorithms and neural networks which are inspired by the functioning of neurons and the brain with respect to data processing. They will also get an insight into the working of the neural networks to feed the data throughout the network.

The Introduction to Deep Learning & Neural Networks with Keras training will provide knowledge about optimisation of variables as per the defined function, gradient descent algorithm, backpropagation, and updating the weights and biases of neural networks. Furthermore, the entrant will be taught about the activation functions and vanishing gradient problems. 

Python for Data Science Bootcamp certification course is created by Board Infinity, an online educational network aimed at working professionals and participants that would help them grow and thrive by enabling them to function efficiently. The Python for Data Science Bootcamp online course by Board Infinity is for participants who want to learn the fundamentals of Python programming for data science to become certified data scientists.

Python for Data Science Bootcamp online classes is a self-paced training program that includes case studies, assignments, and projects to help participants gain a thorough understanding of technologies such as Anaconda, Numpy, Pandas, Jupyter, Matplotlib, and Seaborn, as well as Python concepts such as arrays, lists, and data frames. Participants will be able to develop their Python scripts to undertake basic data analysis in a Jupyter-based simulated environment by the end of this training program.

Shortest Paths Revisited, NP-Complete Problems and What To Do About Them is an online programme designed for intermediate-level students. The online course administered by Stanford University will give the students a deep dive into the shortest paths and related aspects. Shortest Paths Revisited, NP-Complete Problems and What To Do About Them Certification Syllabus, prepared by Tim Roughgarden, the Professor of Computer Science, will walk the candidates through various topics of algorithms such asBellman-Ford, Floyd-Warshall, Johnson, etc. 

Shortest Paths Revisited, NP-Complete Problems and What To Do About Them Certification Course, administered by Coursera, is a flexibly developed course and the students can set their deadlines as per their comfort. The students will also be given subtitles in multiple languages. Shortest Paths Revisited, NP-Complete Problems and What To Do About Them Certification by Coursera is the fourth and the last course in the Algorithms Specialization. 

Data Structures and Algorithms with C++ Course is an online certification course offered by Board Infinity which is an online educational platform that offers numerous certifications and programmes on various topics. The curriculum of the Data Structures and Algorithms with C++ Course Online Training is intended to assist the students to make a clear picture of the data structures and algorithms with C++  and cover the programming language C++. 

Provided by Board Infinity, the Data Structures and Algorithms with C++ Course Programme will enable the students to build the capacity to solve various programming problems and challenges using the data structures. By opting for the course, the learners will be able to upgrade their knowledge of data structures and algorithms. During the programme, the learners will be assigned multiple projects including Search Engines, Graph-based projects and Stack-based text editors. 

Data Structures & Algorithms for Beginners Course is an online course administered by  Board Infinity, the online learning platform that provides various online courses and certifications on a wide range of topics. The curriculum of  Data Structures & Algorithms for Beginners Online Course -developed by Abhilash Rudra, Quantitative Research at JPMorgan Chase & Co., will explore the data structures,  arrays, linked lists, and dynamic programming. 

Data Structures & Algorithms for Beginners Programme, offered by Board Infinity, will render the students a certificate after the completion of the course that will facilitate them to get certified and hired for a successful career opportunity. 

The Data Science of Health Informatics is an online programme offered by Johns Hopkins University for beginner-level learners. The online certificate course will give the learners a sheer insight into the data science of health informatics. The Data Science of Health Informatics Certification Syllabus will walk the students through health informatics, data science, data analysis and various kinds of health and healthcare data. 

The Data Science of Health Informatics Certification Course, offered by Coursera, is the fourth course that is entirely provided in the online mode  of the  Health Informatics Specialization. Though The Data Science of Health Informatics Certification by Coursera is provided for beginner-level learners, it is highly recommended to have prior experience or knowledge of  health, statistics, technology and healthcare to fully benefit from the online programme. 

The lot market is the main connection between machines and equipment in a factory of the digital world also called the cloud. IoT helps one to analyse, collect more data, and help make better decisions in the end. Today’s manufacturers know it is important to bring IT closer to operational technologies that control all their machines and equipment. The term industry 4.0 has now set manufacturing standards for all the manufacturers for creating smart factories where no much labor force is required just by using industrial loT.

But with the advancement of technology, there are a few dark sides of the advancements that everyone has to keep in mind and take care of, it is the security of all the systems that are used. Security is extremely necessary for the manufacturers from harmful viruses and other things that intend to harm their system and the data that is stored. This can lead to a huge loss to the manufacturers.

This course will help build employees of the future who will have the required skills and knowledge about the security problem and the Industrial lot markets. Help them to build a bright future ahead.

Graph Search, Shortest Paths, and Data Structures is an online certification course offered by Stanford University intended for the pool of intermediate-level students. The course will expose the candidates to the data structures, graph primitives, graph searches, and their applications. Graph Search, Shortest Paths, and Data Structures Certification Syllabus, developed by Tim Roughgarden, the Professor of Computer Science, will shed light on the heaps, hash tables, balanced search trees, and bloom filters, and the like. 

The Graph Search, Shortest Paths, and Data Structures Certification Course, administered by  Coursera, will also provide the students with a sheer insight into breadth-first and depth-first search, shortest paths, connectivity, and their applications. Graph Search, Shortest Paths, and Data Structures Certification by Coursera, the second course in four programmes of the Algorithms Specialization is a flexibly designed course that can be pursued by students as per their own schedule. 

Big Data Modeling and Management Systems is an online course with a minimum completion time of 1 week. The online course discusses management tools of big data modeling, types of data models in big data, and data genres. Big Data Modeling and Management Systems Certification Course is the second programme in the three-course Big Data Specialization. The online course is a joint venture between Coursera and the University of California San Diego. 

Provided by Coursera, Big Data Modeling and Management Systems Certification by Coursera explores big data, data modeling for big data, data modelling, big data modeling techniques, Impala, Neo4j, AsterixDB, HP Vertica, SparkSQL, and Redis. The learners will be acquainted with techniques and practical exposure through real-time projects. Though there are no prior requirements for the programme, the learners will be needed some technical requirements (hardware and software).