List of Online Courses and Certifications

The Machine Learning Rapid Prototyping with IBM Watson Studio certification course will be allowing the students to work in the emerging technologies of AI. The syllabus is included in the online course Machine Learning Rapid Prototyping with IBM Watson Studio by Coursera. The online programme is  100% online programme and the course is having a duration of eight hours. The Machine Learning Rapid Prototyping with IBM Watson Studio certification syllabus includes the chapters of- Classification Prep Demo, Regression Prep Demo, Multi-armed Bandit Approach, Demo Classification: Making Changes to the Models, Automated Data Preparation, DAUB Algorithm, The model selection problem and others.

The Library of Integrative Network-based Cellular Signatures (LINCS) is an NIH Common Fund programme. The aim is to perturb various types of human cells with different types of perturbations, genetic manipulations, and more. The Big Data Science with the BD2K-LINCS Data Coordination and Integration Center provides you with extensive knowledge of the functionality of LINCS and its practical application. 

The Big Data Science with the BD2K-LINCS Data Coordination and Integration Center online course aims to familiarise students with molecular networks which are affected by these disturbances. The curriculum includes different variables of measurement, like mRNAs, proteins, metabolites, and cellular phenotypic changes. The BD2K-LINCS Data Coordination and Integration Center (DCIC) provides this data along with other publicly available relevant resources. 

The Big Data Science with the BD2K-LINCS Data Coordination and Integration Center online programme also includes computational methods such as gene-set enrichment analysis, data clustering, interactive supervised learning, and data visualization. Candidates can also work on crowdsourcing or citizen-science projects in this 100% online training.

The Python Project for Data Engineering certification course, developed by IBM Skills Network and taught by Ramesh Sannareddy, a subject matter expert in data engineering, and Joseph Santarcangelo, a Ph.D., data scientist at IBM, is made available by Coursera, which is intended for participants who want to evaluate their expertise by using web scraping and extracting data with APIs, all with the help of numerous hands-on experiments.

Python Project for Data Engineering online classes provides 9 hours of prerecorded learning materials with an emphasis on assisting participants in obtaining the knowledge necessary to apply fundamental Python abilities by utilizing various data collection and data processing strategies. The Python Project for Data Engineering online course covers subjects such as Watson Studio, Jupyter notebooks, and API functions as well as demonstrates how to extract data from various file formats, change it into particular datatypes, and then load it into a particular source for analysis.

Business and analytics go hand in hand in the technologically advanced era. It is crucial to know about making data-driven decisions with the help of business acumen and raw data. Incidentally, the Introduction to R Programming and Data Analytics programme is designed to help the candidates with the same. It is an online, short-term training that houses nearly 15 hours of interactive lectures. Candidates have to attend weekend sessions. 

The IIT Kharagpur Introduction to R Programming and Data Analytics course is offered by Vinod Gupta School of Management, IIT Kharagpur, India. The instructors of the course will comprise faculty members of IIT Kharagpur, along with industry leaders who will deliver the lectures. The curriculum involves live lecturing sessions, case study discussions, hands-on practices, and live problems for better and immersive learning outcomes.

Moreover, the Introduction to R Programming and Data Analytics online course has a follow-up course: Data Analytics with R Programming. It will be conducted post the conclusion of this one. The programme is aimed at developing the candidates into introductory data scientists and adept data analysts who have a thorough understanding of the applications of analytics in managerial positions.

Microsoft Azure Databricks for Data Engineering is a Microsoft-offered course for intermediate-level learners, including data engineers and developers. The programme will enable you to learn and make aware of Microsoft Azure Databricks. Microsoft Azure Databricks for Data Engineering Certification Course is the eighth course in the 10-course Microsoft Azure Data Engineering Associate (DP-203) Professional Certificate offered by Microsoft. 

Offered by Coursera, Microsoft Azure Databricks for Data Engineering Training is entirely provided in online mode. The course will provide you with a deep insight into Microsoft Azure Databricks and related technologies and concepts such as Microsoft Azure Databricks documentation and characteristics of Azure Databricks. You can complete the Microsoft Azure Databricks for Data Engineering Certification by Coursera within the minimum duration of 21 hours. The eligible students are expected to have an understanding of data processing languages like SQL, Python, or Scala and knowledge of data architecture patterns and parallel processing. 

The Advanced Linear Models for Data Science 1: Least Squares course helps you develop a strong foundation of linear and regression modelling. Johns Hopkins University offers the programme, and your instructors will be subject-matter experts. It is the third part of the Advanced Statistics Specialisation by Coursera.  

Moreover, the course completion certificate that you will receive is shareable, after finishing the Advanced Linear Models for Data Science 1: Least Squares programme by Coursera. It will allow you to establish your relevant expertise in the field. Learn and develop fluency in the basics related to least squares and regression modelling, at your own pace.

In addition, the Advanced Linear Models for Data Science 1: Least Squares course features immersive content, developed around a self-paced model to align perfectly with your schedule. The training also provides adjustable deadlines. Furthermore, the online course allows you to quickly and efficiently start studying. You have to devote nearly 8 hours of learning time to the programme.

By taking up the Specialized Models: Time Series and Survival Analysis online course the students will be working on the ways to identify the modelling challenges that are common within the domain of time series data. The course will further be helping to understand the process of how trends are gauged and accessed in a time series of data. In the Specialized Models: Time Series and Survival Analysis certification syllabus the students will be covering chapters on- Identifying Nonstationarity, Common Transformations, Smoothing Moving Averages, Time Series Smoothing, Deep Learning Notebook, Survival Analysis and Censoring and others. The online course on Specialized Models: Time Series and Survival Analysis by Coursera will be elaborating on the domains of “time-series data” and will be working on its applications.

Performing data science with Azure Databricks requires about 3 weeks to complete. Microsoft is the associate of Coursera in designing and delivering the online programme. This certification is a sub-programme in the five-course umbrella programme of the Microsoft Azure Data Scientist Associate (DP-100) Professional Certificate. As experienced and expert professionals prepare the programme at Microsoft, the learners can have intensive training on data science processes with Azure Databricks, Databricks Azure, Azure Spark and Apache Spark. 

Perform data science with Azure Databricks Certification Course, offered by Coursera, an intermediate-level programme. The learners of this programme should have experience with using  Python for data exploration and machine learning models with open-source frameworks, such as TensorFlow, Scikit-Learn and  PyTorch. Perform data science with Azure Databricks Certification by Coursera can be taken and covered at the learners’ pace. 

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.

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.

Machine Learning With Big Data is an online certification programme administered by the University of California San Diego to help the students explore machine learning with big data concepts. Machine Learning With Big Data  Certification Syllabus, developed by Mai Nguyen, the Lead for Data Analytics, and Ilkay Altintas, the Chief Data Science Officer, will give the students a clear understanding of strategies of machine learning for the analysis and exploration of data. 

In the Machine Learning With Big Data Certification Course, administered by  Coursera, the candidates will learn to build machine learning models with numerous algorithms and tools as well various concepts of big data. Machine Learning With Big Data Certification by Coursera is the fourth in six programmes of the Big Data Specialization. 

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 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.

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.

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. 

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. 

R programming is an extensively employed data science language of programming that is heavily used in the business, making this one of the most important skills to acquire in the data science industry. R Programming Course for Data Science online certification is designed by Board Infinity, an online learning environment for professionals that would help them achieve their professional goals by assisting them in achieving excellence.

R Programming Course for Data Science online classes features video-based learning material along with assignments and projects to assist candidates to acquire a hands-on comprehension of the tools and concepts like data analysis, time series analysis, text analysis, string manipulation, natural language processing, R studio, statistics, and more. By the end of the R Programming Course for Data Science online training, candidates will have developed their knowledge to develop programs in R programming and perform basic data analysis tasks.