87 percent of IT professionals worldwide hold at least one certification according to respondents in 2019. Interestingly enough, North America is below the global average with only 85 percent of respondents answering as such.

IT certifications are influential in hiring decisions    

An IT certification is an honorific document demonstrating a professional’s competency in a certain aspect of technology. IT certifications help to boost the credibility and marketability of related IT skills. More than 60 percent of U.S. companies that place high value in the understanding and utilization of technology consider IT certifications to be very valuable in their hiring process. On a global scale, the ratio of certified to non-certified IT professionals are highest in Asia-Pacific and Latin America, with certified IT professionals in these regions constituting more than 90 percent of the IT workforce.

Unequal representation of female workers in tech   

Although IT industry employees are in high demand, diversity within the industry is surprisingly low as most employees in tech companies worldwide are male. Women account for less than ten percent of software developers worldwide and only a quarter of all employees in computer and mathematical occupations in the United States.

Of those surveyed U.S. companies that consider themselves to be advanced in terms of understanding and utilization of technology, 63 percent consider IT certifications to be very valuable in their hiring process, as of 2019. The Google Certified Professional Cloud Architect was the highest-paying certification for IT professionals in North America in 2018.

State workforce agencies submit performance data on WOTC certification activities to ETA through the quarterly electronic submission of ETA Form 9058 via the web-based Tax Credit Reporting System (TCRS) of the Enterprise Business Services System (EBSS). ETA 9058 - Report 1- WOTC Certification Workload and Characteristics of Certified Individuals Form, provides state workforce agencies with a standardized e-reporting format to accurately report program activities and outcomes (e.g., certifications, denials, total workload, etc.). Data is aggregated by State.

Proportion of students who started in a college-level certificate program and graduated with a different educational qualification, within Canada, by demographic characteristics.

In 2022, around 22 percent of IT professionals in the United States indicated having the CompTIA A+ certification, representing a higher share of professionals who earned the certification compared to the previous year. Recognized IT certifications can help professionals demonstrate that they have certain skills. Furthermore, training for certifications helps build expertise in certain areas, including security and network, as well as platforms and vendors, such as AWS and Azure.

Six out of ten respondents stated that individuals who had cybersecurity certifications in 2024 had increased cybersecurity knowledge, while another 55 percent reported performing their duties better at work. In addition, 46 percent of respondents said that cybersecurity certifications ensured higher salaries.

The Ministry of Economic Affairs Intellectual Property Office provides three types of patent announcement and certification statistics for both domestic and foreign individuals for reference.

This Dataset contains year-wise list of movies with all certification categories in English language. It has other details like certification date, movie length, certificate registration office, producer name etc. Note: 1) A-Certification means movies restricted to adult audiences 2) UA-certification means Unrestricted public exhibition subject to parental guidance for children below the age of twelve 3) U-Certificate means Unrestricted for Public Exhibition 4) S-Certification means movies restricted to specialized audiences such as doctors or scientists 5) The movie_length column is not properly defined at the source. The value mentioned in the movie_length column can either mean meters (for celluloid version) or minutes (for video version). For both meters and minutes, the unit is given as Mts at the source. 6) The data include not just feature films, but also short films, promos, songs, etc.

A List Certification includes the names of eligible candidates on an Active Civil Service List that has been established. The Certification may contain part of a list, the whole list, or multiple lists at the request of an appointing agency, to fill vacancies and/or replace provisionals. Eligible candidates on a Certification may be considered for probable appointment at the appointing Agency. For more information visit DCAS’ “Work for the City” webpage at: http://www.nyc.gov/html/dcas/html/work/work.shtml

Captures wage and earnings data for certification.

This dataset represents a list of Minority and Women owned businesses as well as locations, services, and contact information.

This table is from the database of the Intellectual Property Office of the Ministry of Economic Affairs, and it provides statistics on new international patent applications and announcements for granted patents in the second-tier classification for new patent applications. It is intended for reference by the public.

This table is extracted from the database of the Intellectual Property Office of the Ministry of Economic Affairs for reference.

This paper explores a unique dataset of all the SET ratings provided by students of one university in Poland at the end of the winter semester of the 2020/2021 academic year. The SET questionnaire used by this university is presented in Appendix 1. The dataset is unique for several reasons. It covers all SET surveys filled by students in all fields and levels of study offered by the university. In the period analysed, the university was entirely in the online regime amid the Covid-19 pandemic. While the expected learning outcomes formally have not been changed, the online mode of study could have affected the grading policy and could have implications for some of the studied SET biases. This Covid-19 effect is captured by econometric models and discussed in the paper. The average SET scores were matched with the characteristics of the teacher for degree, seniority, gender, and SET scores in the past six semesters; the course characteristics for time of day, day of the week, course type, course breadth, class duration, and class size; the attributes of the SET survey responses as the percentage of students providing SET feedback; and the grades of the course for the mean, standard deviation, and percentage failed. Data on course grades are also available for the previous six semesters. This rich dataset allows many of the biases reported in the literature to be tested for and new hypotheses to be formulated, as presented in the introduction section. The unit of observation or the single row in the data set is identified by three parameters: teacher unique id (j), course unique id (k) and the question number in the SET questionnaire (n ϵ {1, 2, 3, 4, 5, 6, 7, 8, 9} ). It means that for each pair (j,k), we have nine rows, one for each SET survey question, or sometimes less when students did not answer one of the SET questions at all. For example, the dependent variable SET_score_avg(j,k,n) for the triplet (j=Calculus, k=John Smith, n=2) is calculated as the average of all Likert-scale answers to question nr 2 in the SET survey distributed to all students that took the Calculus course taught by John Smith. The data set has 8,015 such observations or rows. The full list of variables or columns in the data set included in the analysis is presented in the attached filesection. Their description refers to the triplet (teacher id = j, course id = k, question number = n). When the last value of the triplet (n) is dropped, it means that the variable takes the same values for all n ϵ {1, 2, 3, 4, 5, 6, 7, 8, 9}.Two attachments:- word file with variables description- Rdata file with the data set (for R language).Appendix 1. Appendix 1. The SET questionnaire was used for this paper. Evaluation survey of the teaching staff of [university name] Please, complete the following evaluation form, which aims to assess the lecturer’s performance. Only one answer should be indicated for each question. The answers are coded in the following way: 5- I strongly agree; 4- I agree; 3- Neutral; 2- I don’t agree; 1- I strongly don’t agree. Questions 1 2 3 4 5 I learnt a lot during the course. ○ ○ ○ ○ ○ I think that the knowledge acquired during the course is very useful. ○ ○ ○ ○ ○ The professor used activities to make the class more engaging. ○ ○ ○ ○ ○ If it was possible, I would enroll for the course conducted by this lecturer again. ○ ○ ○ ○ ○ The classes started on time. ○ ○ ○ ○ ○ The lecturer always used time efficiently. ○ ○ ○ ○ ○ The lecturer delivered the class content in an understandable and efficient way. ○ ○ ○ ○ ○ The lecturer was available when we had doubts. ○ ○ ○ ○ ○ The lecturer treated all students equally regardless of their race, background and ethnicity. ○ ○

Number of Canadian students in a career, technical or professional training certificate entry cohort belonging to a visible minority group, by student characteristics.

Description: The demonstration of Direct Certification with Medicaid for Free and Reduced-Price Meals (DCM-F/RP) allows authorized States and school districts to use information from Medicaid to identify students eligible to receive meals under the National School Lunch Program (NSLP) and School Breakfast Program (SBP) for free or at a reduced price. District-level administrative records data on certification and NSLP and SBP participation were collected to evaluate the demonstration. The analysis sample includes 5,966 public, private, and charter school districts in the 15 States participating in the DCM-F/RP demonstration in school year (SY) 2019-20.Study date(s) and duration: Data were collected from each State child nutrition agency for SY 2019–2020, a baseline year, and any years in between (if applicable). States started the demonstration in different years, so the baseline year is the year before the demonstration began in that state: SY 2015–2016 for Florida, Massachusetts, Nebraska, Utah, Virginia, and West Virginia; SY 2016–2017 for California, Connecticut, Indiana, Iowa, Michigan, Texas, Washington, and Wisconsin; and SY 2017–2018 for Nevada.Study spatial scale: Fifteen States participated in the DCM-F/RP demonstration. Six began conducting DCM-F/RP statewide in SY 2016–2017 (Florida, Massachusetts, Nebraska, Utah, Virginia, and West Virginia), and one implemented DCM-F/RP in 14 districts that year and expanded to statewide implementation in SY 2017–2018 (California). Eight States began implementing DCM-F/RP in in SY 2017–2018 (Connecticut, Indiana, Iowa, Michigan, Nevada, Texas, Washington, and Wisconsin), although one State did not certify students through DCM-F/RP until SY 2018–2019 (Nevada).Level of true replication: UnknownSampling precision: No sampling was involved in the collection of this data.Level of subsampling: No sampling was involved in the collection of this data.Study design: None – Non-experimentalDescription of any data manipulation, modeling, or statistical analysis undertaken: This file contains a public use version of the data collected and analyzed for states in the DCM-F/RP demonstration in SY 2019-20, including both variables collected from the States and variables constructed for use in analysis. The file contains one observation for each of the districts in the analysis sample. Several types of edits were used to protect the confidentiality of respondents, including removing identifying information, rounding percentage variables to the nearest tenth, and rounding continuous variables representing numbers of schools, students, meals or dollars.Description of any gaps in the data or other limiting factors: Specific certification data elements were unavailable for some States or districts (namely, Iowa and Wisconsin did not provide data on reduced-price certifications). In addition, some districts—including notable subsets in Indiana and Virginia—were excluded from the analysis sample due to incomplete or erroneous administrative data.See the full Direct Certification with Medicaid for Free and Reduced-Price Meals (DCM-F/RP) Demonstration, SY 2019-20 report [https://www.fns.usda.gov/cn/usda-dcm-frp-demonstration] for a detailed explanation of the study’s limitations.Outcome measurement methods and equipment used: The effects of DCM-F/RP on certification, participation, and Federal reimbursement outcomes were estimated by comparing measures in the baseline year to the same measure in SY 2019–2020. A fixed effects model was used to control for changes in outcomes between years and to improve the precision of the estimates.Resources in this dataset:Resource Title: Dataset - Direct Certification with Medicaid for Free and Reduced-Price Meals (DCM-F/RP) Demonstration .File Name: DCM_FRP.csvResource Description: Dataset - Direct Certification with Medicaid for Free and Reduced-Price Meals (DCM-F/RP) Demonstration CSV FileResource Title: Codebook/Data Dictionary - Direct Certification with Medicaid for Free and Reduced-Price Meals (DCM-F/RP) Demonstration .File Name: DCM-FRP SY 2019-2020 Codebook.pdfResource Description: Codebook/Data Dictionary for the Dataset Direct Certification with Medicaid for Free and Reduced-Price Meals (DCM-F/RP) DemonstrationResource Title: User Guide - Direct Certification with Medicaid for Free and Reduced-Price Meals (DCM-F/RP) Demonstration .File Name: DCM-FRP SY 2019-2020 Public Use File User Guide REV.pdfResource Description: User Guide for the Data Direct Certification with Medicaid for Free and Reduced-Price Meals (DCM-F/RP) DemonstrationResource Title: SAS Stata R SPSS Data Sets - Direct Certification with Medicaid for Free and Reduced-Price Meals (DCM-F/RP) Demonstration .File Name: DCM_FRP.ZIPResource Description: SAS Stata R SPSS Data Sets for the Data Direct Certification with Medicaid for Free and Reduced-Price Meals (DCM-F/RP) Demonstration. These datasets are identical to the CSV and each other but provide multiple formats to meet user preference in statistical software.

Dataset contains information on Tempeans receiving post-secondary education, licenses, certificates. Data supports City's Achieve65Tempe goal that 65 percent of Tempe’s adult population access post-secondary education, resulting in a certification to an advanced degree by 2030.This page provides data for the Post-Secondary School Achievement Rate performance measure. Certificate and License estimates from the Arizona Board of Regents.The performance measure dashboard is available at 3.09 Post-Secondary School Achievement Rate.Additional InformationSource: US Census, Arizona Board of RegentsContact: Marie RaymondContact E-Mail: Marie_Raymond@tempe.govData Source Type: Excel / CSVPreparation Method: Numbers retrieved from US Census and Arizona Board of Regents, then combined into a summary spreadsheet. The supporting data sources are also provided.Publish Frequency: annuallyPublish Method: manualData Dictionary