List of Online Courses and Certifications

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. 

Coursera provides online courses designed by instructors from companies and universities. These courses give access to on-demand video lectures, quizzes, community forums, projects and homework exercises to amplify the learning experience of the participants.

Advanced SAS programming techniques course by Coursera has been designed for learners who wish to develop or improve their data analytics skills. The course aims to provide the participants with a deep dive into SAS programming. SAS enables the user to analyze, transform and derive value from the given data. It will train the participants in SAS programming using SAS 9, using the SAS macro facility to write, design, debug dynamic macro programmes, rotate data, process repetitive code, and perform table lookups using arrays and using PRX functions for pattern matching. Participants will learn the use of additional functions such as LAG, FINDC for data analysis and manipulation.

After the completion of the course, the participants will have developed a detailed perspective on SAS programming and the skills to use advanced DATA step techniques and procedures for manipulating the data. This course will prepare the participants for the SAS Advanced Programming Professional certification exam.

Machine Learning has emerged as one of the most popular branches of engineering over the years. The Python program is a popular language for programming as the syntax is simpler and it consists of a lot of code libraries, which makes coding relatively easy, as compared to its counterparts. 

Summer Training Program on Machine Learning using Python (Development and Deployment) Certification Course from the Electronics & ICT Academy of IIT-Roorkee is specifically designed to train students in Python coding, in the field of ML engineering. The duration of the course is 14 days and 40 hours. The number of seats is 60. The Training is coordinated by Professor R. Balasubramanian and Professor Partha Pratim Ray from IIT-Roorkee, along with Professor Sanjeev Manhas serving as the Principal Investigator.

The course trains students for a career in Machine Learning engineering or Data Science, which according to Kdnuggets, will generate about one million job opportunities in the near future. Also, the popular Forbes magazine has listed Data science as one of the best jobs to pursue as a career.

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

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

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

The Analysis of Algorithms online course familiarises students with calculating the computational complexity of algorithms. The training also covers function generation, recurrences, telescoping, and more concepts related to the scientific study of algorithm performance. Candidates learn about real asymptotics, symbolic methods, and basic structures like words, permutations, strings, trees, and mappings, through the programme.

The Coursera Analysis of Algorithms programme is 100% online and free course. It consists of pre-recorded video lectures, pop quizzes, readings, assignments, and practical exercises across a nine-week curriculum. Robert Sedgewick, who is currently the William O. Baker Professor of Computer Science at Princeton, will be your instructor. 

The Online Analysis of Algorithms training course is an advanced-level programme offered in collaboration with Princeton University. Candidates will need approximately 20 hours to finish this course. Besides, you will get English subtitles for the video lectures and flexible deadlines to learn at ease. Since this is free training; candidates will not receive a certification.

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 term relational database refers to a particular kind of database that stores and makes available connected data items. On the relational model, an easy-to-understand method of representing data in tables, relational databases are built. Introduction to Relational Databases (RDBMS) certification course is taught by Sandip Saha Joy - Data Scientist, Rav Ahuja - Global Program Director, Lin Joyner - Senior Instructional Designer & Content Developer, and is developed by IBM Skills Network and Rose Malcolm - Senior Instructional Designer & Content Developer, which is delivered by Coursera.

Introduction to Relational Databases (RDBMS) online course focus on assisting individuals in recognising the many database types that are suitable for the particular sorts of data they are working with and the processing requirements as well as providing individuals with a good understanding of how information is stored, analyzed, and retrieved. Introduction to Relational Databases (RDBMS) online classes incorporate 2 weeks of hands-on practical learning materials to help individuals in learning the methodologies for building relational data models and the approaches to use them with their data.

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 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 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 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 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.

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).

Big Data Foundation Course online certification is created by Board Infinity, an online educational infrastructure targeting job applicants and learners that will enable them to grow and succeed by allowing people to function effectively. Big Data Foundation Course online classes by Board Infinity are for learners who are seeking a comprehensive training initiative to enhance their knowledge and skills in big data so that they can become skilled big data specialists from the ground up.

The Big Data Foundation Course syllabus features more than 14 hours of prerecorded video lessons that aim to help learners comprehend market dynamics, uncertain relations, and client preferences, and discover trends that enable companies to make data-driven decisions. Learners will also learn how to use tools like Hadoop, Hive, Apache Spark, MySQL, Apache Pig, PySaprk, Sqoop, MapReduce, and others to methodically extract information and analyze data sets that are too huge and complex.

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. 

Python allows the language to be processed by an interpreter or virtual machine on top of the underlying machine language that the hardware recognizes, and it automates any system or process to carry out complex functions to achieve maximum productivity. Python Artificial Intelligence Projects for Beginners online course intended for individuals who want to leverage the strengths of python programming with artificial intelligence.

Python Artificial Intelligence Projects for Beginners online certification is developed by Packt Publishing Ltd, a British firm that delivers premium learning and technical support to IT professionals. Students considering enrolling in the Python Artificial Intelligence Projects for Beginners online classes must have a working knowledge of Python programming and be comfortable with the programming. The course is structured into three major sections that cover topics such as training for developing own prediction models, comment classification applications, and deep learning concepts.

Artificial Intelligence with Python - Deep Neural Networks online course is designed for applicants who are already acquainted with basic Python programming and seek to learn about deep neural networks in artificial intelligence using Python. This is a self-paced course that candidates can access whenever they want. This course is an ideal opportunity for them to enhance their career, particularly if they are a recent graduate or a working professional looking to upskill or cross-train, or if they are folks interested in learning new technologies.

Artificial Intelligence with Python - Deep Neural Networks certification course is created by TCS iOn in association with Packt Publishing Ltd, a British company that provides professionals with skill training and technical assistance. Candidates who wish to partake in the Artificial Intelligence with Python - Deep Neural Networks online training should have prior expertise with Python programming to learn rapidly and effortlessly. The course includes 2 hours of video content covering subjects such as artificial neural networks, reinforcement learning, deep learning with convolutional neural networks, and object detection and tracking.

Artificial Intelligence on Microsoft Azure certification course is made available through Coursera, a digital learning platform that has collaborated with more than 200 premier higher education institutions to promote customizable, affordable, job-relevant online learning to individuals and organizations globally. Artificial Intelligence on Microsoft Azure online course is intended for students who wish to learn how Artificial Intelligence facilitates the production of powerful solutions to various types of problems, as well as making predictions or conclusions.

Artificial Intelligence on Microsoft Azure online classes by Coursera emphasize the fundamental AI topics of machine learning, anomaly detection, computer vision, natural language processing, and conversational AI. This course demonstrates how artificial intelligence can be employed and explores the concepts of responsible AI, which can help students comprehend some of the issues that developers face when attempting to design artificial intelligence solutions. By the end of the course, students will have gained the knowledge and competence to pass the AI 900 certification examination and become certified AI engineers.

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 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.