List of Online Courses and Certifications

Offered by IBM, the Data Analysis with Python Programme certification course is a certification programme which is conducted by one of the leading and pioneering skill-based training academy namely, Coursera. By undertaking this programme, the candidate will specialise and learn the art of analysing the data with the help of Python. During the course, the candidates will be able to master and gain knowledge on different skills namely, Data Analysis, Model Selection, Data Visualization, Python Programming and Predictive Modelling. 

The candidates will seek a detailed understanding about skills used in data analysis namely, Scipy, Numpy and Pandas libraries. This programme being a 100% online programme will give ease and convenience for professionals to pursue it. A shareable certificate will also be given in the end post successfully completing the programme. This certificate can be easily viewed, printed and shared on LinkedIn as well. Moreover, this programme Data Analysis with Python training  will act as a foundation or basis for professionals to pursue different programmes post completion of this one. 

The Excel/VBA for Creative Problem Solving, Part 1 course is a comprehensive 6-week study designed for learners looking to improve, expand, and optimise their Excel skills. This programme delves deep into the world of Visual Basic for Applications (VBA) and its robust automation, programming, and customisation functionalities.

The Excel/VBA for Creative Problem Solving, Part 1 training programme, is the first course in a three-part specialisation that aims at instilling problem-solving skills by leveraging various computational techniques employed by Excel/VBA. The curriculum includes crucial practice exercises at the end of each week’s module to help you consolidate the knowledge gathered throughout the week.

Moreover, the Online Excel/VBA Creative Problem Solving, Part 1 course by Coursera includes real-life problems that will help you realise the industry problems you might face in your career. Further, to pass each module, you will need to achieve the minimum required marks in the given week’s problem-solving assignment along with the mastery quiz. Upon successful course completion, you also receive a certificate of completion from Coursera and the University of Colorado Boulder. You can share the certificate directly on your LinkedIn profile.

“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.

The Developing AI Applications on Azure certification by Coursera will equip users to create and work on an Azure Machine Learning Workspace, all to create their models and test run them on the cloud. 

The learners delve into algorithms, types of machine learning. They’ll learn the practical applications of Python for machine learning solutions, as well as certain scientific ecosystem packages which will help you implement machine learning. Along with standardized approaches to data analytic, they’ll learn Microsoft's Team Data Science Approach. 

Another perk of the Developing AI Applications on Azure certification course is that the learners will familiarize themselves with pre-trained and managed machine learning which is offered as REST API's in their suite of cognitive services. Other concepts include facial recognition API, sentiment analysis with the natural language service, implementation of solutions via the computer vision API. 

Created by Learnquest and available on Coursera, the Developing AI Applications on Azure certification course will take the learners through Artificial Intelligence, Machine learning, Data Analytics, Python programming, etc. Hands-on exercises will polish the AI skills of candidates and also equip them to deploy their machine learning models.

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.

Along with SAS, Coursera has created doing more with SAS programming for working professionals like SAS programmers and business analysts. This program would give in-depth knowledge about techniques of data manipulation using SAS procedures and DATA steps to transform, summarize, and access data. The course is based upon the concepts involved in the introduction of the SAS Programming course which states that should not be proposed to the users of SAS software at a beginner level.

Through this course, instructors would provide instruction to the participants on controlling the process of the DATA step, creating an accumulating column, and processing data in groups. The course would give a better understanding of SAS software and data used for practices and activities. The program would take the participants deeper into the DATA step and its knowledge would help in controlling and converting the DATA step output rows to new tables. After this, they will learn about processing data in groups which would help in executing action whether each group starts or finishes.

This UX Research at Scale: Surveys, Analytics, Online Testing Certification Course explains and helps its learners to understand the market and helps them to conduct surveys according to their needs and requirements. These courses are very helpful for learners who are looking to study the market and create products according to that. This Course also provides learners with various benefits and shareable certificates. 

The market is all about the requirements asked by the consumers and so market analysis and proper conduct of the market is necessary for excellent results. These researches help the market to grow and develop better services. This course offers learners about UX Research and its various components to be utilised in the career field. With a proper syllabus and excellent instructors, this course is a one-step destination for learners to gain proper knowledge about the particular topic. 

The course Fundamentals of Reinforcement Learning certification course is offered by Coursera by collaboration with the University of Alberta to make the aspirants skilful with machine learning and applications of Artificial Intelligence. The course is free to enrol and can access all the course materials free of cost. Therefore aspirants can use the opportunity for growing their career with a course completion certificate and increase the chances of hiring.

With the digital connection over the world, Business Intelligence over decision making is made essential in organizations. Decision making increases the prosperity of the business. Therefore the use of decision making with Artificial Intelligence and machine learning became most popular when the programme comes into existence. Organizations are looking forward to candidates who are skilled in this type of Artificial Intelligence, Robotics, Machine learning and, the Internet of things (IoT) as well

Coursera is the digital platform to learn the concepts that are offered for free. Candidates can learn throughout their lifetime and can avail of certificates after completion of the Fundamentals of Reinforcement Learning Training course. 

This certification course in Bayesian Statistics: Mixture Models by Coursera is a one stop place to learn the Bayesian Statistics and its Mixture Models along with its applications in the practical world. The course introduces one of the useful classes of statistics. This course is structured in a way to teach the most practical uses of Bayesian Statistics and its tools. It encourages candidates taking this course to practice and learn as the course progresses by not simply watching the videos but also constantly solving the Bayesian Statistics problems.

The course also utilises the industry software R in some places for solving the course problems. R is an easily available free statistical software that is used in m multiple industries of development, design and manufacturing, etc. The course lays out a basic tutorial to learn the software and teach the uses of it in Bayesian Statistics. Candidates are also encouraged to learn further about R for better advantages in their career.

The course is an intermediate level certificate course in Bayesian Statistics: Mixture Models taught by some of the expert faculty of the University of California Santa Cruz. For candidates who wish to take this course, it should be noted that prior knowledge of principles of estimation in maximum likelihood, Calculus based probability, and the Bayesian estimation is required. The course is a great way to take a step further in the statistics learning field and can provide you with the required edge in your career and the industry.

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 Data Manipulation at Scale: Systems and Algorithms online course by Coursera is the first step in the Data Science at Scale Specialization series. The University of Washington offers the certification course in collaboration with Coursera.

The Data Manipulation at Scale: Systems and Algorithms online certification course aims to teach the landscape of relevant systems to the students and how these systems are evaluated along with the principles on which they rely. Students will also learn the context of data science as well as the history, skills and challenges that come while working with data. Moreover, students will get hands-on experience in learning how to structure a data science project. 

Additionally, the Data Manipulation at Scale: Systems and Algorithms class programme is a self-paced learning course so that students never have to worry about missing a class. At the same time, the course is 100% online so that they can learn from the comfort of their home. The students will be awarded a shareable certificate after completing the course, which can be shared on professional platforms. 

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.

The Data Visualisation with Python course, offered by IBM via Coursera, is designed to teach learners how to use Python for creating compelling data visualisations. This course focusses on various Python libraries and tools that are essential for data visualisation, making it suitable for those who want to enhance their data analysis skills. Data Visualisation with Python certification course, offered by IBM has total duration of 20 hours and learners can complete the Data Visualisation with Python certification course at their own pace. 

Students will learn the implementation of data visualisation techniques and plots using Python libraries, such as Matplotlib, Seaborn, and Folium to tell a stimulating story along with generating interactive dashboards, creating different types of charts and others, during the completion of Data Visualisation with Python course, offered by IBM via Coursera. A sharable certificate will be provided. Data Visualisation with Python certification course is available in English and 22 other languages with 11 quizzess and one assignment.

The ‘SAS Macro Language’ online certification program is designed for the students to gain expertise with the statistical analytical system by learning about the tools and techniques for Data steps and processes to handle the data. This intermediate-level course is provided by the Coursera education portal with the SAS. The students can finish the course classes within two weeks during three weeks.

The instructors for this course are academic and industry professionals such as Stacey Syphus, a senior manager of Education. This certification program is offered as part of the SAS advanced performer professional certificate and the students are allowed to study with adjustable deadlines for the assessments and tests. The students from different language backgrounds will benefit from the subtitles that are available in French, Portuguese, Russian, English, Spanish for the course materials.

The ‘SAS Macro Language’ online training program equips students with the course certificate at the end of the course after completion of the training, graded assessments, tests.

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 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.

Academic research methodology conducts an innovative, high-caliber study that develops new knowledge and advances current comprehension. As an academic researcher, you will utilize the knowledge and abilities you have acquired via research and exploration.

Applicants will get the opportunity to learn a variety of crucial academic research abilities for producing a brilliantly written project at the master's level. Academic Research Methodology for Master’s Students certification is developed by Coventry university which has received the No.1 ranking in the world for Massive Open Online Courses in MoocLab’s World University Ranking 2021, and the course will be explained by Joanne Carlier which FutureLearn offers.

Academic Research Methodology for Master’s Students certification online training offers two weeks of digital lessons and a digital certificate after eligibility. Academic Research Methodology for Master’s Students online course focuses on concepts and techniques such as research process, planning and exploration of research techniques, and how to do academic research for a written project, as well as strategies for developing a variety of essential academic research skills, the ability to define features, and the application of inductive reasoning to the research process. Participants will get the opportunity to examine, develop, and define research challenges, as well as build a research plan describing the necessary steps to achieve their objectives. 

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 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 Analytics using R Programming online course is offered by the online education provider platform ‘Edu Plus Now’ in collaboration with the Indian Statistical Institute in Pune. The data analytics program will take twelve days to complete the course and is scheduled on the weekends for the interested candidates.

The course study is about data analytics in which the statistical and mathematical frameworks are used to sort the data collected and find the inherent patterns and probabilities. In this course, the students will be able to develop an expertise in R programming with the help of data preparation, fundamental analytics, prescriptive analytics, exploratory data analysis, classification, clustering, and time series analysis. 

The experimental projects in this ‘Data Analytics using R Programming’ training enable the students to gain a deeper understanding and knowledge of the concepts of data analytics and an opportunity to know more about the domain of data science.

The ‘Advanced Excel’ certification is designed to deliver insights on the concepts and features of Microsoft Excel software. The course discusses different aspects of spreadsheet functions and spreadsheet operations with the help of advanced tools and techniques. This online course is provided by the education provider platform Edu Plus Now in association with the Indian Statistical Institute. The course study is organized for the students for a period of three days. 

The industry-based curriculum in this course is provided to the candidates of the program and is guided by academically and professionally qualified course instructors. The online classes are aided with online learning methodologies such as recorded lectures, interactive sessions, and domain-oriented projects with assignments for evaluation.

The ‘Advanced Excel’ online certification program equips students with theoretical and practical conceptual clarity, professional understanding of MS Excel, and the students are given course completion certificates by the end of the course.

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.

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.

Master Data Management for Beginners online course is a practical approach to achieving the professional growth that learners desire, especially if they are graduate students or working professionals looking to acquire and develop new skills. Master Data Management for Beginners certification course is created by TCS iON, a Tata business unit dedicated to assisting institutions and government organizations from a wide range of industries in being more efficient in their talent acquisition, learning, skill training, and operations.

Master Data Management for Beginners online training aims to teach the foundations of master data management, which assists in the analysis of data from several viewpoints, categorizing it, streamlining data sharing among individuals and departments within an organization, and summarizing the identified links. Learners who wish to participate in the programme must have a basic understanding of database management systems. The course includes comprehensive video lectures as well as self-study material that learners can access at any time. Learners will be issued a certificate of completion upon successful completion of the course to support their understanding of the subject.

Large volumes of data are routinely collected in today's scientific and economic industries. Making informed decisions requires the ability to analyze data and learn from it. Machine Learning using R enables the visualization of data, the execution of statistical tests, and the application of Machine Learning algorithms. R and Machine Learning Fundamentals online course teach how the artificial intelligence branch requires minimal human interaction and how the AI system gathers knowledge from data, detects patterns, and makes decisions.

R and Machine Learning Fundamentals certification course is presented by TCS iON in collaboration with Packt Publishing Ltd is a British educational company that aims to provide skill development training to working people. R and Machine Learning Fundamentals online training include 2 hours of thorough video lectures spanning 12 separate modules covering subjects such as data types, subsetting, control structures, data visualization with R, supervised and unsupervised machine learning, and many more.