This dataset provides comprehensive information about various Data Science and Analytics master's programs offered in the United States. It includes details such as the program name, university name, annual tuition fees, program duration, location of the university, and additional information about the programs.

Column Descriptions:

• Subject Name: The name or field of study of the master's program, such as Data Science, Data Analytics, or Applied Biostatistics.

• University Name: The name of the university offering the master's program.

• Per Year Fees: The tuition fees for the program, usually given in euros per year. For some programs, the fees may be listed as "full" or "full-time," indicating a lump sum for the entire program or for full-time enrollment, respectively.

• About Program: A brief description or overview of the master's program, providing insights into its curriculum, focus areas, and any unique features.

• Program Duration: The duration of the master's program, typically expressed in years or months.

• University Location: The location of the university where the program is offered, including the city and state.

• Program Name: The official name of the master's program, often indicating its degree type (e.g., M.Sc. for Master of Science) and format (e.g., full-time, part-time, online).

In the academic year of 2021/22, about 880,250 students were awarded a Master's degree in the United States. This figure is projected to increase by the academic year of 2031/32, when it is forecasted that 1,000,460 students will be awarded a Master's degree.

A file that holds the master records for all online training courses nominated for reimbursement.

China Number of Graduate: Postgraduate: Master Degree data was reported at 927.629 Person th in 2023. This records an increase from the previous number of 779.845 Person th for 2022. China Number of Graduate: Postgraduate: Master Degree data is updated yearly, averaging 334.613 Person th from Dec 1997 (Median) to 2023, with 27 observations. The data reached an all-time high of 927.629 Person th in 2023 and a record low of 38.051 Person th in 1998. China Number of Graduate: Postgraduate: Master Degree data remains active status in CEIC and is reported by Ministry of Education. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GD: No of Graduate: Higher Education: By Region.

Raw data for the manuscript entitled: European Agrifood and Forestry Education for a Sustainable Future - Gap Analysis from an Informatics Approach Abstract Purpose: To evaluate how well European agrifood and forestry Masters program websites use vocabulary associated with the NextFood Project ‘categories of skills’. Methodology: Web-scraping Python scripts were used to collect texts from European Masters programs websites, which were then analysed using statistical tools including Partial Least Squares Regression and contextual relation analysis. A total of fourteen countries, twenty-seven universities, 1303 European Masters programs, 3305 web-pages and almost two million words were studied using this approach. Findings: While agrifood and forestry Masters programs used vocabulary from the NextFood Project ‘categories of skills’ in most cases equal to or more often than non-agrifood and forestry Masters programs, we found evidence for the relative underuse of words associated with networking skills, with least use among agriculture-related Masters programs. Practical Implications: The informatic approach provides evidence that European agrifood and forestry Masters programs are for the most part following the educational paths for meeting future challenges as outlined by the NextFood Project, with the possible exception of networking skills. Theoretical Implications: This text-based, informatic approach complements the more targeted approaches taken by the NextFood Project in studying the skilling-pathways, which involved focus-group interviews, surveys of stakeholders, interviews of individuals with expert-knowledge and literature reviews. Originality: A text-based, web-scraping informatic approach has thus far been limited in the study of agrifood and forestry higher education, especially relative to recent advances made in the social sciences.

According to an online survey conducted in February 2025 in the United States, ********* of LinkedIn users held a bachelor degree or equivalent. Additionally, ** percent of LinkedIn users in the U.S. held a masters degree or equivalent.

ABSTRACT The health care model based on the Family Health Strategy, created in the early 1990s, encouraged changes in health education, highlighting the need to create lato and stricto sensu postgraduate courses aimed at empowering professionals that foster comprehensive health care. Periodic evaluations are carried out and encouraged by Capes/MEC in order to maintain the quality of postgraduate courses, but evaluations of recently-introduced professional master’s degree courses in family health remain scarce. Objectives To describe the academic profile, contribution, motivations and expectations of graduates of a Professional Master’s in Family Health. Method Cross-sectional and quantitative study to analyze the results of 102 questionnaires answered by graduates of the Professional Master’s Degree in Family Health of the Estácio de Sá University (RJ), who had concluded the course between 2007 and 2012. The instrument consisted of open-ended and closed-ended questions, sent by e-mail and made available online through the electronic platform Survey Monkey. The study evaluated age, gender, regional origin, academic background, as well as the contributions, expectations and motivations related to the course. Results The survey sample was formed predominantly by female graduates, aged over 30, from 13 Brazilian states and, mainly from Medicine and Nursing courses. The contribution of the master’s degree to the graduate’s professional life was evaluated as excellent by 77% of the interviewees. The expectations regarding the course were positively evaluated and the main reasons for seeking the qualification were scientific-technical improvement and personal satisfaction, rather than better salaries or job stability. Conclusion The course was evaluated positively by the graduates, having exceeded their expectations and satisfied the interests that led them to it, thus producing changes to their personal and professional life. A longitudinal analysis of the impact of the professional master’s degree in the career of graduates will require a sequence of similar studies, as has been stimulated by Capes/MEC in recent years.

This data collection contains energy commodity production statistics for approximately 200 United Nations reporting countries for the years 1970-1979. In this file, each record refers to an individual reporting country and the quantity of its various transactions (e.g., production, imports, exports, bunkers, additions to stocks, and capacity) for a given energy commodity in a given year. Only annual data are included. The 70 types of commodities reported include solid fuels (e.g., coal, peat, and charcoal), liquid fuels (e.g., crude petroleum, gasoline, and kerosene), gases, uranium, and both industrial and public types of geothermal, hydro, and nuclear generated electricity. Information is also included on the population (in thousands) of the reporting country, the quantity of the commodity per transaction, and the date of the transaction. Supplementary data not contained in this data collection are in the introduction and footnotes of the individual tables published in the YEARBOOK OF WORLD ENERGY STATISTICS, 1979.

The global massive open online course (MOOC) market size is calculated to advance at a CAGR of 32% through 2034, which is set to increase its market value from US$ 13.2 billion in 2024 to US$ 212.7 billion by the end of 2034.

Report Attribute	Detail
MOOC Market Size (2024E)	US$ 13.2 Billion
Projected Market Value (2034F)	US$ 212.7 Billion
Global Market Growth Rate (2024 to 2034)	32% CAGR
China Market Value (2034F)	US$ 23.3 Billion
Japan Market Growth Rate (2024 to 2034)	32.6% CAGR
North America Market Share (2024E)	23.9%
East Asia Market Value (2034F)	US$ 49.1 Billion
Key Companies Profiled	Alison; Coursera Inc; edX Inc; Federica.EU; FutureLearn; Instructure; Intellipaat; iverity; Jigsaw Academy; Kadenze.

Country Wise Insights

Attribute	United States
Market Value (2024E)	US$ 1.4 Billion
Growth Rate (2024 to 2034)	32.5% CAGR
Projected Value (2034F)	US$ 23.6 Billion

Attribute	China
Market Value (2024E)	US$ 1.5 Billion
Growth Rate (2024 to 2034)	32% CAGR
Projected Value (2034F)	US$ 23.3 Billion

Category-wise Insights

Attribute	xMOOC
Segment Value (2024E)	US$ 9.3 Billion
Growth Rate (2024 to 2034)	30.8% CAGR
Projected Value (2034F)	US$ 136.1 Billion

Attribute	Degree & Master Programs
Segment Value (2024E)	US$ 6.4 Billion
Growth Rate (2024 to 2034)	30.2% CAGR
Projected Value (2034F)	US$ 89.3 Billion

Abstract The aim of this paper is to understand students’ experience of research methodology teaching, through a survey with students enrolled in the Master’s Degree Program in Information Management, Libraries and Archives at the Complutense University of Madrid. The analyzed themes included the students’ perception of collaborative work, influence of emotions, implications of research competencies at the professional level, and the role of supervisors. Twenty-six master’s students, both online and on-site, were surveyed among those enrolled in the academic years 2014-2015 and 2013-2014. Results show the need to foster collaborative work with individual work in a balanced way. Furthermore, emotions, especially positive ones, appear to intertwine heavily with the learning experience. It is more difficult to appreciate the implications of research competencies for the professional sphere because of differences in the professional context of all students involved. The activities that students perceive as more creative include discussions of one’s own work (especially with the supervisor) as well as discussions of other students’ work (attendance at Master Thesis Defenses). Finally, supervisors stand out as important figure during the learning of research methodology, as their area of expertise is particularly relevant.

The Master Facility Inventory (MFI) data collection provides a comprehensive list of hospital facilities in the United States in 1976. The criteria for inclusion were that a facility provided medical, nursing, personal, or custodial care to groups of unrelated persons on an inpatient basis and was licensed or operated by federal or state agencies. The American Hospital Association conducted the survey, supplying the resulting data to the National Center for Health Statistics in order to update its Master Facility Inventory on the number and kinds of hosptals in the United States and the changes in the list since the last MFI survey. Information gathered is for the previous calendar year and includes facility identification information, ownership, number of full- and part-time staff, number of beds per unit, number of adult and pediatric inpatients, numbers in newborn nursery, outpatient utlilization (e.g., emergency care and clinics), major and minor surgical operations, hospital classification (e.g., government, non-government, investor-owned), and finances (e.g., total revenue, expenses, and assets) for 7,271 institutions.

Table View of Master_OP_EXP - Budgets and Actuals from FY 2016, 2017, 2018, 2019, and FYTD 2020. This View is the data source for Expense Dashboards. Update Schedule: Once per Month.

Data set containing information on the subjects taught in the Official Master's Degrees of the University of Cantabria.

In an impressive increase from years past, 39 percent of women in the United States had completed four years or more of college in 2022. This figure is up from 3.8 percent of women in 1940. A significant increase can also be seen in males, with 36.2 percent of the U.S. male population having completed four years or more of college in 2022, up from 5.5 percent in 1940.

4- and 2-year colleges

In the United States, college students are able to choose between attending a 2-year postsecondary program and a 4-year postsecondary program. Generally, attending a 2-year program results in an Associate’s Degree, and 4-year programs result in a Bachelor’s Degree.

Many 2-year programs are designed so that attendees can transfer to a college or university offering a 4-year program upon completing their Associate’s. Completion of a 4-year program is the generally accepted standard for entry-level positions when looking for a job.

Earnings after college

Factors such as gender, degree achieved, and the level of postsecondary education can have an impact on employment and earnings later in life. Some Bachelor’s degrees continue to attract more male students than female, particularly in STEM fields, while liberal arts degrees such as education, languages and literatures, and communication tend to see higher female attendance.

All of these factors have an impact on earnings after college, and despite nearly the same rate of attendance within the American population between males and females, men with a Bachelor’s Degree continue to have higher weekly earnings on average than their female counterparts.

Descriptive statistics-aggregate data.

In 2023, around *** million students were enrolled in master's and doctor's degree programs at colleges and universities in China. This figure increased steadily in recent years. Besides these graduate and postgraduate students, around ***** million undergraduate students were enrolled at colleges and universities in China in 2023.

THIS DATASET IS FINAL AND NO FURTHER UPDATES ARE EXPECTED. This is a report for all the relevant columns of FEMA Individual Assistance Program- amount obligated and disbursed down by program, county and municipality.

Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

See the Splitgraph documentation for more information.

The Master Facility Inventory data collection provides a comprehensive list of nursing, personal care, and domiciliary care facilities in the United States in 1976. The criteria for inclusion were that a facility provided medical, nursing, personal, or custodial care to groups of unrelated persons on an inpatient basis. The survey was conducted by the National Center for Health Statistics in order to update its Master Facility Inventory on the number and kinds of such facilities in the United States and the changes to the list since the last MFI survey. Information gathered is for the previous calendar year and includes facility identification information, ownership and type of facility, capacity and type of beds (i.e., total beds set up and staffed for use and number of beds certified by Medicare or Medicaid as skilled and intermediate), acceptance criteria, and total number of male and female residents (or patients) for 26,748 institutions.

Context

The kernel aims to extract data from Wikipedia's list of countries by category, and visualize it. The database itself, contains a HUGE amount of analyzed data at different categories, waiting anxiously for someone to present them elegantly ( 😏 ), and compare the trends between the different countries.

               <img src="https://github.com/Daniboy370/Machine-Learning/blob/master/Misc/Animation/VID-out-Wiki.gif?raw=true" width="550">

Content

The list contains 143 analyses of countries with respect to a specific criterion. Practically, I will refer to several criteria that I found interesting, however the reader is free to add as much as he pleases :

Criterion	File
GDP per capita	df_{GDP}
Population growth	df_{Pop-Growth}
Life expectancy	df_{Life-exp}
Median age	df_{Med-age}
Meat consumption	df_{Meat-cons}
Sex-ratio	df_{GDP}
Suicide rate	df_{Suicide}
Urbanization	df_{Urban}
Fertility rate	df_{Fertile}

The well processed data should be able to provide such a visualization ( for example ) :

                      <img src="https://github.com/Daniboy370/Uploads/blob/master/Kaggle-Dataset-Wiki.gif?raw=true" width="600">

Pipeline

Choose criterion >> Extract data >> Examine & Clean >> Convert to dataframe >> Visualize :

                      <img src="https://github.com/Daniboy370/Uploads/blob/master/VID-Globe.gif?raw=true" width="400">

\[ \text{Enjoy !}\]

THIS DATASET IS FINAL AND NO FURTHER UPDATES ARE EXPECTED. This is a report for all the relevant columns of DOT Local Aid - The Amount Allocated, Obligated and Paid broken down by federal agency, program, site, route, location, county, and municipality. It also includes description of repair being done.

Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

See the Splitgraph documentation for more information.