Online and Distance Education at Postsecondary Institutions, 2006-07 (PEQIS 16), is a study that is part of the Postsecondary Education Quick Information System (PEQIS) program; program data is available since 1997 at . PEQIS 16 (https://nces.ed.gov/pubsearch/pubsinfo.asp?pubid=2009044) is a survey that collects data on the prevalence and delivery of distance education courses in the 2006-07 12-month academic year, including the number of courses and enrollment for online courses, hybrid/blended online courses, and all other distance education courses. The survey also collects information about numbers of degree or certificate programs designed to be completed entirely through distance education and the technologies used for the instructional delivery of credit-granting distance education courses. The study was conducted using paper and web surveys. The weighted response rate was 87 percent. Postsecondary institutions were sample for this study. Key statistics produced from PEQIS 16 relate to information on the prevalence, types, delivery, policies, and acquisition or development of distance education courses and programs.

Percentage of Canadians' use of selected online activities, during the past three months.

This dataset contains course information and metadata scraped from two popular MOOC platforms: EdX and Coursera(Udemy will be added soon, although the script to scrape it available on my git https://github.com/karar-git/Quamus). It includes various course attributes such as descriptions, program details, and other relevant data, making it useful for building recommendation systems, educational tools, or performing analysis on online learning content.

The dataset includes the following files:

combine_preprocessing.py: A Python script that preprocesses and combines the raw data into a unified format. You must run this script to generate the processed dataset.

combined_dataset.json: The final, preprocessed, and combined dataset of course metadata from both EdX and Coursera.

edx_courses.json: Raw course data scraped from the EdX platform.

edx_degree_programs.json: Data on degree programs available on EdX.

edx_executive_education_paidstuff.json: Paid course and executive education data from EdX.

edx_programs.json: Data on various programs available on EdX.

processed_coursera_data.json: Processed course data scraped from Coursera.

How to Use:

To generate the final combined_dataset.json, you need to run the combine_preprocessing.py script. This script will process the raw data files, clean, normalize, and combine them into one unified dataset. Disclaimer:

Data Source: The data in this dataset was scraped from publicly available information on EdX and Coursera. The scraping was done solely for educational and research purposes. The scraping process adheres to the terms of use of the respective platforms.

Usage: This dataset is intended for non-commercial use only. Please use responsibly and adhere to the terms and conditions of the platforms from which the data was collected.

No Warranty: This data is provided "as-is" without any warranty. Users are responsible for ensuring that their use of the data complies with the relevant platform policies.

Models:

In addition to the data, there are machine learning models related to this dataset available on GitHub. These models can help with content-based course recommendations and are built using the data you will find here. Specifically, the models include:

A cosine similarity-based model for course recommendations.

A two-tower model for personalized recommendations, trained using pseudo-labels.

A transformer-based course predictor (work in progress) designed to suggest the next course based on a user's learning progression.

Note:

The dataset currently contains data only from EdX and Coursera. The script to scrape Udemy data can be found in the related GitHub repository.

You will need to access the GitHub repository to view and experiment with the models and the Udemy scraping script. The models require the data files from this dataset to work properly.

By uploading this dataset to Kaggle, you can explore these educational resources and leverage them for building custom educational tools or analyzing online course trends.

Nearly four out of ten online course participants in Russia admitted having dropped a course at least once as of 2022. Moreover, ** percent of survey respondents had not completed several digital courses.

According to a survey conducted in South Korea in 2020, more than half of the respondents stated that they took language courses via online learning. It was followed by certificate programs with about ** percent of response rate.

The online higher education market is experiencing robust growth, fueled by increasing accessibility, affordability demands, and technological advancements. The market's Compound Annual Growth Rate (CAGR) of 19.82% from 2019 to 2024 suggests a significant expansion, likely driven by factors such as the rising adoption of online learning platforms, flexible learning options catering to working professionals and geographically dispersed students, and the increasing recognition of online degrees by employers. The market segmentation, encompassing diverse types of online programs (e.g., bachelor's, master's, certificate programs) and applications across various fields (e.g., business, technology, healthcare), contributes to its broad appeal and expansion. Major players like American Public Education, Adtalem Global Education, and others are deploying competitive strategies focused on enhancing the learning experience, improving student support services, and expanding their program offerings to maintain a competitive edge. The geographic distribution indicates strong growth across North America and Asia-Pacific, driven by higher internet penetration and a growing young population seeking educational opportunities. However, challenges remain, including concerns about the perceived quality of online education compared to traditional institutions, the digital divide limiting access for certain demographics, and the need for continuous investment in technology and curriculum development to meet evolving learner needs. Looking ahead to 2033, the online higher education market is projected to maintain significant momentum, further expanding its reach and influence. Continued technological innovation, including advancements in virtual reality and artificial intelligence, will enhance the learning experience and attract a broader range of students. The growing importance of lifelong learning and upskilling will also drive demand for online courses and degree programs. Competitive pressures will likely lead to further innovation in pricing models, program offerings, and marketing strategies, fostering a dynamic and evolving market landscape. To fully capitalize on this growth, educational institutions must prioritize creating engaging and effective online learning environments, addressing concerns around quality and accessibility, and adapting to the ever-changing needs of students in a globally competitive market.

Percentage of Internet users by selected online activities during the past three months.

In 2024, about **** percent of all students who chose online degree programs in the United States said they did so because COVID-19 made it the only option available to them, a slight decrease from ** percent in the previous year. In both 2023 and 2024, however, the most commonly cited reason for students to choose online degree programs was due to existing commitments, such as work and family, preventing their attendance in campus-based courses.

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Online Data Science Training Programs Market Size 2025-2029

The online data science training programs market size is forecast to increase by USD 8.67 billion, at a CAGR of 35.8% between 2024 and 2029.

The market is experiencing significant growth due to the increasing demand for data science professionals in various industries. The job market offers lucrative opportunities for individuals with data science skills, making online training programs an attractive option for those seeking to upskill or reskill. Another key driver in the market is the adoption of microlearning and gamification techniques in data science training. These approaches make learning more engaging and accessible, allowing individuals to acquire new skills at their own pace. Furthermore, the availability of open-source learning materials has democratized access to data science education, enabling a larger pool of learners to enter the field. However, the market also faces challenges, including the need for continuous updates to keep up with the rapidly evolving data science landscape and the lack of standardization in online training programs, which can make it difficult for employers to assess the quality of graduates. Companies seeking to capitalize on market opportunities should focus on offering up-to-date, high-quality training programs that incorporate microlearning and gamification techniques, while also addressing the challenges of continuous updates and standardization. By doing so, they can differentiate themselves in a competitive market and meet the evolving needs of learners and employers alike.

What will be the Size of the Online Data Science Training Programs Market during the forecast period?

Request Free SampleThe online data science training market continues to evolve, driven by the increasing demand for data-driven insights and innovations across various sectors. Data science applications, from computer vision and deep learning to natural language processing and predictive analytics, are revolutionizing industries and transforming business operations. Industry case studies showcase the impact of data science in action, with big data and machine learning driving advancements in healthcare, finance, and retail. Virtual labs enable learners to gain hands-on experience, while data scientist salaries remain competitive and attractive. Cloud computing and data science platforms facilitate interactive learning and collaborative research, fostering a vibrant data science community. Data privacy and security concerns are addressed through advanced data governance and ethical frameworks. Data science libraries, such as TensorFlow and Scikit-Learn, streamline the development process, while data storytelling tools help communicate complex insights effectively. Data mining and predictive analytics enable organizations to uncover hidden trends and patterns, driving innovation and growth. The future of data science is bright, with ongoing research and development in areas like data ethics, data governance, and artificial intelligence. Data science conferences and education programs provide opportunities for professionals to expand their knowledge and expertise, ensuring they remain at the forefront of this dynamic field.

How is this Online Data Science Training Programs Industry segmented?

The online data science training programs industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. TypeProfessional degree coursesCertification coursesApplicationStudentsWorking professionalsLanguageR programmingPythonBig MLSASOthersMethodLive streamingRecordedProgram TypeBootcampsCertificatesDegree ProgramsGeographyNorth AmericaUSMexicoEuropeFranceGermanyItalyUKMiddle East and AfricaUAEAPACAustraliaChinaIndiaJapanSouth KoreaSouth AmericaBrazilRest of World (ROW)

By Type Insights

The professional degree courses segment is estimated to witness significant growth during the forecast period.The market encompasses various segments catering to diverse learning needs. The professional degree course segment holds a significant position, offering comprehensive and in-depth training in data science. This segment's curriculum covers essential aspects such as statistical analysis, machine learning, data visualization, and data engineering. Delivered by industry professionals and academic experts, these courses ensure a high-quality education experience. Interactive learning environments, including live lectures, webinars, and group discussions, foster a collaborative and engaging experience. Data science applications, including deep learning, computer vision, and natural language processing, are integral to the market's growth. Data analysis, a crucial application, is gaining traction due to the increasing demand for data-driven decisio

Professional Certification Programs

A Database of Accreditations and Certifications in Professional Fields

By [source]

About this dataset

This dataset is brimming with knowledge on certifications and accreditations tailored to the work-seeking community. We are here to bring these resources closer so that job seekers can easily access resumes written by experienced professionals in fields like special education, foreign language teaching, technical training, and sport management. Every entry in this dataset comes with a unique identifier - allowing users to effortlessly browse certifications that reflect their employable qualities. With an array of magnified expert qualifications ranging from international organizations to renowned institutions, let this database be your go-to when optimizing your professional resume content!

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For more datasets, click here.

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How to use the dataset

This dataset contains a list of certifications and accreditations related to professional fields, including special education, foreign language teaching, technical training, and sport management. It is a great resource for job seekers interested in finding resumes written by experienced professionals in these fields.

To use this dataset effectively, here are some steps you can take: - Examine the columns – ÿþ# and**ÿþ# – available within the dataset to get an understanding of what information is available for each certification or accreditation entry listed. - Read through the descriptions provided for each certification or accreditation entry to gain an understanding of each program’s specifics and relevance to your career field (if applicable). - Use the information gleaned from an individual entry’s description as well as other supporting data (like year of issue/release or last updated date) to determine which particular credentials would be most beneficial for furthering your career goals or job searches with professional and/or educational organizations relevant to your interests.
- Using this knowledge targeted towards you interests has been best covered through a resume writing service with qualifications in that field - ideally one that is familiar with trends related specifically to the applicable certification/accreditation program(s) associated with your desired position(s)

Research Ideas

• The dataset can be used to provide job seekers with personalized recommendations for qualified professionals that hold a specific certification or accreditation in their particular field of interest.
• It can be used to create an online interactive resource guide that showcases the different certifications and accreditations by using visualizations such as graphs, maps, and infographics.
• Employers can use this data to advertise job opportunities that require specialized certifications or accreditations not commonly found in their industry or local talent pool

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: batch_analysis_export.utf-16 (57).csv | Column name | Description | |:--------------|:--------------------------------------------------------------------| | ÿþ# | Unique identifier for each certification or accreditation (String). |

Acknowledgements

If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit .

Dual Enrollment Programs and Courses for High School Students, 2002-03 (PEQIS 14), is a study that is part of the Postsecondary Education Quick Information System (PEQIS) program; program data is available since 1997 at . PEQIS 14 (https://nces.ed.gov/pubsearch/pubsinfo.asp?pubid=2009045) is a cross-sectional survey that collected information on the topic of dual enrollment of high school students at postsecondary institutions. 1,600 Title IV degree-granting postsecondary institutions in the 50 United States and the District of Columbia were sampled. The study was conducted using online or paper surveys. The overall response rates were 92 percent weighted and 91 percent unweighted. Key statistics produced from PEQIS 14 were information on the prevalence of college course-taking by high school students at their institutions during the 2002-03 12-month academic year, both within and outside of dual enrollment programs. Among institutions with dual enrollment programs, additional information was obtained on the characteristics of programs, including course location and type of instructors, program and course curriculum, academic eligibility requirements, and funding.

During a 2020 survey, ** percent of respondents aged 18 to 35 from the Lima metropolitan region in Peru who stated they had attended a form of online education said that their course/program was run by an online platform. Furthermore, the most popular type of online courses or programs during this period were short or specialized courses.

This table contains 3226 series, with data for years 1992 - 2008 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (11 items: Canada; Prince Edward Island; Nova Scotia; Newfoundland and Labrador ...), Program level (11 items: Total; program level; Trade/vocational and preparatory training certificate or diploma; Community college certificate or diploma and other community college level; Undergraduate level ...), Classification of Instructional Programs, Primary Grouping (CIP_PG) (14 items: Total; instructional programs; Personal improvement and leisure; Visual and performing arts; and communications technologies; Education ...), Sex (3 items: Both sexes; Females; Males ...).

Percentage of Internet users by selected online activities during the past three months.

In 2020, about ** percent of aspirant students stated that affordability was their main driving factor behind choosing an institution for an online education course. Online education had been accepted widely in the recent years and was further accelerated by the Covid-19 pandemic. Higher education In the wake of the COVID-19 pandemic, the higher education ecosystem in India witnessed an unprecedented makeover. During this period, all of India’s institutions were forced to adapt to digital tools and technologies that brought about a complete rehaul not just to the pedagogic aspects of online teaching, but also to the experiential and administrative functions of higher education. The challenges that stemmed as a result of this affected not just students but also teachers and other facilitators working in academia, calling for more flexible and adaptable systems. Remote education Dring this period, higher educational institutions in India together with relevant industries joined forces to create programs and curricula guaranteeing an exchange of essential knowledge while focusing on building the student’s competencies and capabilities to match the needs of the industry. Some of the hallmarks of this innovative paradigm of education are built on mobile technology, internet coverage and high-speed internet and social media platforms that afford the student flexibility while learning anytime and anywhere. Another key feature is that the role of the teachers pivoted to that of facilitators and mentors in this modern era of education.

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The online higher education market share in the US is expected to increase by USD 33.35 billion from 2021 to 2026, and the market’s growth momentum will accelerate at a CAGR of 19.82%.

This online higher education market in the US research report provides valuable insights on the post COVID-19 impact on the market, which will help companies evaluate their business approaches. Furthermore, this report extensively covers online higher education market in the US segmentation by subjects (commerce and management, STEM, Arts, and others) and courses (non-degree courses and degree courses). The online higher education market in the US report also offers information on several market vendors, including American Public Education Inc., Adtalem Global Education Inc., Apollo Education Group Inc., Graham Holdings Co., Grand Canyon Education Inc., ITT Educational Services Inc., LINCOLN EDUCATIONAL SERVICES Corp., Perdoceo Education Corp., Strategic Education Inc., and Zovio Inc. among others.

What will the Online Higher Education Market Size in the US be During the Forecast Period?

Download the Free Report Sample to Unlock the Online Higher Education Market Size in the US for the Forecast Period and Other Important Statistics

Online Higher Education Market in the US: Key Drivers, Trends, and Challenges

The collaborations between enterprises and educational institutions is notably driving the online higher education market growth in the US, although factors such as designing e-learning courses may impede the market growth. Our research analysts have studied the historical data and deduced the key market drivers and the COVID-19 pandemic impact on the online higher education industry in the US. The holistic analysis of the drivers will help in deducing end goals and refining marketing strategies to gain a competitive edge.

Key Online Higher Education Market Driver in the US

The collaborations between enterprises and educational institutions is one of the key drivers supporting the online higher education market growth in the US. Although such collaborations can take numerous forms, the most common are training, partnerships, or R&D partnerships. For instance, IBM-Charlotte was designed by the University of North Carolina-Charlotte (UNC-Charlotte) and IBM with the aim of enhancing the university’s technical vitality, expanding its local personnel resource bank, and ultimately offering IBM's technical communicators a way of earning degrees in their field of work. For UNC-Charlotte, the relationship with IBM gave its developing Technical Communication program community support and visibility and simultaneously provided faculty with research opportunities and practical experience at the workplace. Such collaborations are driving the growth of the online higher education market in the US during the forecast period.

Key Online Higher Education Market Trend in the US

Increased use of wearable gadgets is another factor supporting the online higher education market growth in the US. Technologies such as augmented reality (AR) are also changing the learning experience of participants. 3D simulations and scenarios that are developed using wearable technology devices give users a chance to learn in different learning environments. Moreover, the theoretical explanation of various concepts and step-by-step training on operations in an organization, followed by familiarizing students with on-the-floor working environments, are time-consuming. Therefore, wearable technology devices can help universities or educational institutions to engage with students directly on the floor. This reduces the duration and makes students more comfortable with online learning. Thus, the affordable prices of wearable gadgets will foster their greater adoption, in turn fostering the growth of the online higher education market in the US

Key Online Higher Education Market Challenge in the US

Designing e-learning courses is one of the factors hindering the online higher education market growth in the US. A significant amount of time, money, and resources are needed for developing the content for online courses. On average, moderately interactive online content takes about 90-240 hours to develop and costs developers approximately $10,000 per produced hour for moderate-level content. Similarly, the cost keeps rising as the complexity of the content increases. The major factors impacting the cost incurred on creating online education content are the resources needed, the state of the source content, the elements embedded in the online content, and the interactivity and instructional complexities involved. Therefore, this is a challenging factor for the growth of the online higher education market in the US.

This online higher education market in the US analysis report also provides detailed information on other upcoming trends and challenges that will have a far-reaching effect on the market

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India Professional Online Courses Market Size 2025-2029

The india professional online courses market size is forecast to increase by USD 5.16 billion at a CAGR of 20.7% between 2024 and 2029.

The market is witnessing significant growth, driven by the increasing trend towards Internet-based business models. With the proliferation of high-speed internet connectivity and the rising demand for flexible learning solutions, this market is poised for substantial expansion. Another key trend is the growing collaboration between universities and corporations, offering co-branded programs and industry-specific courses to cater to the evolving needs of learners. However, this market faces challenges as well. Security and privacy concerns remain a significant obstacle, with learners expressing apprehensions about sharing sensitive information online. Ensuring the protection of user data and maintaining a secure learning environment is essential for market players to build trust and attract a larger customer base. Addressing these challenges through robust cybersecurity measures and transparent data handling practices will be crucial for companies seeking to capitalize on the opportunities presented by this dynamic market.

What will be the size of the India Professional Online Courses Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The Indian professional online courses market encompasses a diverse range of offerings, including language learning courses, financial analysis, career counseling, business management, performance optimization, content syndication, learning analytics dashboards, software development, social learning features, coding bootcamps, microlearning design, digital marketing, job placement services, personalized learning recommendations, mobile app development, platform scalability, engineering courses, certification exams, adaptive learning algorithms, learning communities, gamification design, interactive storytelling, design, data science, and healthcare courses. This market exhibits dynamic trends, with language learning courses witnessing significant demand due to the globalized workforce. Financial analysis and business management courses remain popular for professionals seeking career advancement. Performance optimization and learning analytics dashboards cater to the growing need for data-driven decision-making. Software development courses, including coding bootcamps and mobile app development, address the increasing demand for tech skills. Social learning features foster engagement and collaboration among learners. Personalized learning recommendations and job placement services cater to individual career goals. Data science courses, with their focus on adaptive learning algorithms and data visualization tools, are in high demand due to the growing importance of data-driven insights. Design courses, including gamification design and interactive storytelling, cater to the creative sector. Healthcare courses offer professionals the opportunity to upskill in this rapidly growing industry. The market for these courses is continually evolving, with ongoing advancements in technology driving platform scalability and the integration of engineering courses and certification exams. Learning communities provide valuable resources for ongoing professional development.

How is this market segmented?

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. ProductTechnical coursesNon-technical coursesEnd-userIndividual learnersOrganizational learnersInstitutional learnersGeographyAPACIndia

By Product Insights

The technical courses segment is estimated to witness significant growth during the forecast period.

In India, the professional online courses market is witnessing significant growth due to the increasing demand for skill-based training and career advancement. Digital learning content, provided through online learning platforms, is becoming increasingly popular as it offers flexibility and affordability. Mobile learning is also gaining traction, allowing learners to access courses on-the-go. Course completion rates and learner engagement are crucial factors driving the market. Professional development programs, instructor support, personalized learning, and interactive learning modules are key features that enhance learner engagement. Marketing and promotion play a significant role in attracting learners, with e-learning courses, video lectures, and assessments and quizzes used to assess progress and knowledge retention. Payment gateways ensure seamless transactions, while student satisfaction is prioritized through course

Introduction: In an age of increasingly face-to-face, blended, and online Health Professions Education, students have more selections of where they will receive a degree. For an applicant, oftentimes, the first step is to learn more about a program through its website. Websites allow programs to convey their unique voice and to share their mission and values with others, such as applicants, researchers, and academics. Additionally, as the number of Health Professions Education programs rapidly grows, websites can share the priorities of these programs. Methods: In this study, we conducted a website review of 158 Health Professions Education websites to explore their geographical distributions, missions, educational concentrations, and various programmatic components. Results: We compiled this information and synthesized pertinent aspects, such as program similarities and differences, or highlighted the omission of critical data. Conclusion: Given that websites are often the first point of contact for prospective applicants, curious collaborators, and potential faculty, the digital image of HPE programs matters. We believe our findings demonstrate opportunities for growth within institutions and assist the field in identifying the priorities of HPE programs. As programs begin to shape their websites with more intentionality, they can reflect their relative divergence/convergence compared to other programs as they see fit and, therefore, attract individuals to best match this identity. Periodic reviews of the breadth of programs, such as those undergone here, are necessary to capture diversifying goals, and serve to help advance the field of Health Professions Education as a whole. Methods Our team deduced that most HPE programs would have a website, and that this would serve as a representation of how individuals within the program choose to view themselves and hope to be viewed by others. Further, our team determined that these websites would be an efficient means of collecting programmatic information for the purposes of learning more about program growth, diversity, and values. We conducted the website review from August 2021 to April 2022 using a list of worldwide Health Professions Education programs, which was acquired from the Foundation of Advancement of International Medical Education and Research’s (FAIMER’s) website. FAIMER was chosen as the origin source of programs studied due to its use in another published study evaluating HPE programs. Each master's degree in HPE offered by a university was counted separately, allowing us to note the differences in course and time requirements across all programs. Only HPE master's programs were selected for this study. Certificate and Ph.D. programs were excluded. Next, we developed a data extraction tool. Categories were jointly identified for data collection by three of our authors (JS, SW, and HM). JS, SW, and HW worked independently through a set of three HPE programs, obtaining the data for our selected categories. Afterward, we cross-checked each other's work for verification purposes. For example, if JS obtained the information, SW or HM, who were blinded to JS’s findings, would independently find the answers to the same questions/ topics. This was performed until an agreement between pre and post-review information was above 95%. There was no discovered information that was not agreed upon after discussion. Once 100% agreement was reached with this method, the total number of HPE programs analyzed was split between JS and SW, and the raw data was obtained for the same categories. This data then underwent a review by the other two researchers to ensure high accuracy. This review consisted of information verification on individual program websites where it was originally obtained. For example, if JS found the information about a program, SW and HM (now not blinded) would both have to independently find the same information. Any identified discrepancies were rectified through discussion, and three-way agreement was mandatory for the team to move on to the next program.

Percentage of Canadians' time spent online and using video streaming services and video gaming services, in a typical week.