List of Online Courses and Certifications

The course 3D Data Visualization for Science Communication gives an introduction to 3D data visualisation and emphasises on cinematic design and science communication for attracting a wide range of audience. The candidates will build visualisation literacy, they will be able to write and create their own visualisations. The course is provided by The University of Illinois at Urbana-Champaign which is a top university when it comes to teaching, public engagement and research.

The course will cover a wide range of topics under 3D Data Visualization for Science Communication which includes an introduction to scientific visualisation, critiquing visualisation, computer graphics, visualising pipeline, 3D geometry, computational resources, programming, data representation, virtual coordinates, transformations and attributes, data artefacts, pre visualisation, camera design, image artefacts, to name a few.

This course will be purely taught online using lecture videos, quizzes, discussion forum and reference reading materials. The candidates will be expected to clear all the quizzes and tests included in the course to be eligible for being certified in the course if on the event of purchasing the certification.

The Predictive Analysis for Business Nanodegree Programme by Udacity has been designed to enable you to master solving complex problems with data through a scientific approach. The course will help you become fluent in two leading software packages called Alteryx and Tableau. Alteryx enables you to prepare, blend, and analyse data quickly, and on the other hand, a Tableau is a powerful tool for data visualisation. 

The Udacity Predictive Analysis for Business Online Course covers complex data-related concepts such as creating mental models to define business-related issues as well as visualising data to improve the performance of predictive models. Furthermore, the programme has been designed to implement and identify a variety of techniques for predictive modelling. 

In addition, the Nanodegree programme incorporates real-world projects to help you in skill-building through practical knowledge. You will also receive feedback from the network of project reviewers routinely. 

Supply Chain Comprehensive Exam online certification is developed by Chris Caplice - Director, MITx MicroMasters Program in Supply Chain Management, and Eva Ponce - Executive Director, MITx MicroMasters Program in Supply Chain Management at MIT, which is delivered by the edX organization for individuals who want to enhance their knowledge and expertise as supply chain professionals by understanding the advanced concepts from the supply chain MicroMasters series.

Supply Chain Comprehensive Exam online course comprises five in-depth online modules, SC0x, SC1x, SC2x, SC3x, and SC4x, which together with the extensive qualifying examination cover all areas of logistics and SCM. A total of 20 hours of virtual instructor-led lectures will be made available to individuals in the Supply Chain Comprehensive Exam online classes to assist them in mastering both the fundamental and more complex SCM topics. In addition, two proctored certificate exams with quantitative and qualitative questions are part of the premium version of this course. Participants will get the option to enroll either in the free audit track that offers limited access or they can choose to upgrade to the paid version that is known as the verified track.

Content strategy is the planning, execution, governance, and ongoing management of the content lifecycle to support critical business activities. The content marketing strategy is essentially your brand's game plan for driving traffic, leads, engagement, sales, and other business results via content. For professionals, it is one of the most crucial aspects of your marketing strategy. Content Strategy for Professionals: Expanding Your Content’s Reach certification is taught by John Lavine, who is the Founder, Professor, and Director, of Media Management Center, professor candy lee and Randy Hlavac from Northwestern University & CEO of Marketing Synergy, Inc is created by Northwestern University which Coursera offers. 

Content Strategy for Professionals: Expanding Your Content’s Reach online course is a self-paced learning program that involves 5 hours of comprehensive lectures that aims to provide learners with a thorough overview of the topic in content strategy as well as content specialization. Content Strategy for Professionals: Expanding Your Content’s Reach online classes provide an understanding of the topics such as utilizing content trends, social networks, and digital media, as well as interactivity and gamification which includes interacting with diverse digital groups across all social media channels.

A digital content strategy is a plan that assists a company in creating and distributing digital content in order to reach new audiences, increase credibility, generate more leads, and fulfill its overall strategic marketing goals. This strategy links businesses with an expanding number of potential buyers who are using digital tools and searching online for quick fixes to their business difficulties. Content Strategy for Professionals: Managing Content online certification is created by Northwestern University, and is taught by Candy Lee - professor at Northwestern University, John Lavine founder, professor, and director, of the media management center, and Randy Hlavac who is CEO of Marketing Synergy, Inc which is made accessible through Coursera.

Content Strategy for Professionals: Managing Content online training is a short-term program that incorporates six hours of video learning resources, with flexible deadlines which are completely online.  The objective of this course is to equip candidates with a comprehensive insight into how to enhance their skills further. social and digital media, platforms and design, content, and IP management.

Content Strategy for Professionals: Managing Content online classes cover topics including the most effective strategies to employ social and mobile media, as well as the difficulties around insourcing and outsourcing content. Finally, you will gain an insider's perspective on how legal challenges linked with content strategy are addressed by multinational corporations of various sizes.

The course Evaluation of Digital Health Interventions is part of the Digital Health Specialisation offered by Imperial College London. The specialisation introduces the learners to digital health technologies in global healthcare. It also explores the various aspects of digital health interventions, such as their development, implementation, and evaluation. It is an intermediate-level course.

Evaluation of Digital Health Interventions certification by Coursera focuses on assessing digital health interventions. The course provides the learners with a comprehensive understanding, covering various methodologies and techniques specific to digital health intervention. The course covers experimental design approaches involved in assessing digital health interventions. It comprises approximately 10 hours of study material. The study modules consist of readings, video lessons, and practice exercises.

The course Take the Lead on Healthcare Quality Improvement is designed by Case Western Reserve University to bring forth awareness about healthcare quality. Through this course, learners will equip themselves with the skills to implement a quality improvement (QI) project to enhance the quality of patient care. The learner will receive a step-by-step guideline to initiate QI projects and their tools and techniques. 

Take the Lead on Healthcare Quality Improvement certification by Coursera is a 29 hours long course. The course consists of 6 modules, which include readings, video lessons, and graded exercises for the learners to test their knowledge. The modules can be approached by the learners at their own convenience since it is a self-paced course. In this course, learners will get hands-on training in planning, implementing, and evaluating quality improvement initiatives. They will learn about project management tactics, creating measurable targets, and tracking progress to guarantee long-term success.

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 Evaluating Designs with Users certification course is the third course in the User Experience Research and Design Specialisation series offered by Coursera. Designing a system for users can be a challenging process, as some elements may not work for them. Therefore, it is important that a designer does regular tests and gets feedback from users to improve the design. 

The Coursera Evaluating Designs with Users online course aims to teach students how to conduct tests with the users and evaluate the effect and performance of their design. It focuses on identifying different approaches of user testing and understanding how to design an effective user test. Lastly, the course will teach you how to analyse and report on user testing. 

Furthermore, the Evaluating Designs with Users training is a self-paced learning course which is entirely online. So, students can learn from the comfort of their own home and enjoy the flexibility offered by the course, in terms of resettable deadlines. Upon training course completion, students will also earn a shareable, course completion certificate. 

Businesses that want to expand internationally must go through the process of globalization. Since there is a market for their products nowadays, businesses are more eager to operate on a worldwide scale. There is yet another explanation for this phenomenon. Becoming Part of the Globalised Workplace certification course is created by the National University of Singapore and taught by Susan Lee - Lecturer, which is made available through Coursera.

Becoming Part of the Globalised Workplace online course seeks to help participants increase their confidence and adaptation when speaking in an audience with diverse cultures. Participants in the Becoming Part of the Globalised Workplace online classes will have developed the abilities of persuasive communication and intercultural communication in a globalized workplace, which may include conversations and presentations to important stakeholders as well as an efficient delegation of duties to group members.

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.

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. 

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.

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 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

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.

Introduction to Machine Learning in Sports Analytics is an intermediate-level online course provided by Coursera which is one of the leading online course providers. The online certification programme will guide the learners on how to use machine learning in sports analytics. Offered by Coursera, Introduction to Machine Learning in Sports Analytics Certification Course is the last course in the Sports Performance Analytics Specialization offered by the University of Michigan. 

Introduction to Machine Learning in Sports Analytics Certification Syllabus will discuss the machine learning techniques, the prediction of athletic outcomes with machine learning, and many more. Introduction to Machine Learning in Sports Analytics Certification by Coursera can be taken by learners who have familiarity with Python. 

The Introduction to R Programming for Data Science online certification was developed by IBM Skills Network and instructed by Yan Luo, Ph.D., Data Scientist, and Developer and is made available through Coursera and is targeted at individuals who are interested in learning the fundamental ideas behind data science and data analysis operations using the features of R programming. The Introduction to R Programming for Data Science online course teaches individuals about the fundamentals of the R language, including data types, data manipulation methods, and how to carry out basic programming operations.

Introduction to R Programming for Data Science online classes contains 10 hours of video-based study materials that introduce individuals to basic programming concepts, standard data structures, and data manipulation techniques, all with the assistance of the R programming language. Individuals who successfully finish this program will be able to develop a basic program in RStudio, work with data in a data frame or matrix, and complete the final project as professional data analysts utilizing Watson Studio and Jupyter notebooks to gather and evaluate data-driven insights.

The Python Project for Data Science certification course, created by IBM Skills Network and taught by Azim Hirjani, a Cognitive Data Scientist, and Joseph Santarcangelo, a Ph.D., a Data Scientist at IBM, is offered through Coursera, which is designed for candidates who want to learn about the strategies and procedures related to using Python programming to work with data for data science operations.

Python Project for Data Science online training involves 8 hours of digital lectures accompanied by hands-on projects where students will be assisted in creating a simplistic dashboard in Python. The Python for Data Science, AI, and Development course by IBM is a prerequisite for participation in the Python Project for Data Science online course, which teaches students about topics like data structures, data extraction, data analysis, dashboards, web scraping, and much more. 

The Data Visualization with R online certification, created by IBM Skills Network, is taught by Yiwen Li, a software engineer, Tiffany Zhu, a data scientist, Saishruthi Swaminathan, a data scientist, and developer advocate, and Gabriela de Queiroz, a program director, and it is offered through Coursera, which is intended for learners who want to master the Grammar of Graphics and learn how the ggplot2 data visualization package for R applies to basic bar charts, pie charts, scatter plots, line plots, box plots, and histograms.

Data Visualization with R online classes incorporates 1 week of learning materials that concentrate on teaching the methods for personalizing charts and plots using themes and talking about the methods for using data visualization for Leaflet. With Data Visualization with R online training, learners will be taught about concepts involved with data science, data visualization, and data analysis as well as acquainted with approaches for building interactive dashboards using the R Shiny package.