Success.ai’s Education Industry Data with B2B Contact Data for Education Professionals Worldwide enables businesses to connect with educators, administrators, and decision-makers in educational institutions across the globe. With access to over 170 million verified professional profiles, this dataset includes crucial contact details for key education professionals, including school principals, department heads, and education directors.

Whether you’re targeting K-12 educators, university faculty, or educational administrators, Success.ai ensures your outreach is effective and efficient, providing the accurate data needed to build meaningful connections.

Why Choose Success.ai’s Education Professionals Data?

1. Comprehensive Contact Information
2. Access verified work emails, direct phone numbers, and LinkedIn profiles for educators, administrators, and education leaders worldwide.

3. AI-driven validation guarantees 99% accuracy, ensuring the highest level of reliability for your outreach.

4. Global Reach Across Educational Roles

5. Includes profiles of K-12 teachers, university professors, education directors, and school administrators.

6. Covers regions such as North America, Europe, Asia-Pacific, South America, and the Middle East.

7. Continuously Updated Datasets

8. Real-time updates ensure that you’re working with the most current contact information, keeping your outreach relevant and timely.

9. Ethical and Compliant

10. Success.ai’s data is fully GDPR, CCPA, and privacy regulation-compliant, ensuring ethical data usage in all your outreach efforts.

Data Highlights:

• 170M+ Verified Professional Profiles: Includes educators and administrators across various levels of education.
• 50M Work Emails: Verified and AI-validated emails for seamless communication.
• 30M Company Profiles: Rich insights into educational institutions, supporting detailed targeting.
• 700M Global Professional Profiles: Enriched datasets for comprehensive outreach across the education sector.

Key Features of the Dataset:

1. Education Decision-Maker Profiles
2. Identify and connect with decision-makers at educational institutions, including principals, department heads, and education directors.

3. Reach K-12 educators, higher education faculty, and administrative professionals with relevant needs.

4. Advanced Filters for Precision Targeting

5. Filter by educational level, subject area, location, and specific roles to tailor your outreach campaigns for precise results.

6. AI-Driven Enrichment

7. Profiles are enriched with actionable data to provide valuable insights, ensuring your outreach efforts are impactful and effective.

Strategic Use Cases:

1. Educational Product and Service Marketing
2. Promote educational tools, software, or services to decision-makers in schools, colleges, and universities.

3. Build relationships with educators to present curriculum solutions, digital learning platforms, and teaching resources.

4. Recruitment and Talent Acquisition

5. Target educational institutions and administrators with recruitment solutions or staffing services for teaching and support staff.

6. Engage with HR professionals in the education sector to promote job openings and talent acquisition services.

7. Professional Development Programs

8. Reach educators and administrators to offer professional development courses, certifications, or training programs.

9. Provide online learning solutions to enhance the skills of educators worldwide.

10. Research and Educational Partnerships

11. Connect with education leaders for research collaborations, institutional partnerships, and academic initiatives.

12. Foster relationships with decision-makers to support joint ventures in the education sector.

Why Choose Success.ai?

1. Best Price Guarantee

2. Success.ai offers high-quality, verified data at the best possible prices, making it a cost-effective solution for your outreach needs.

3. Seamless Integration

4. Integrate this verified contact data into your CRM using APIs or download it in your preferred format for streamlined use.

5. Data Accuracy with AI Validation

6. With AI-driven validation, Success.ai ensures 99% accuracy for all data, providing you with reliable and up-to-date information.

7. Customizable and Scalable Solutions

8. Tailor data to specific education sectors or roles, making it easy to target the right contacts for your campaigns.

APIs for Enhanced Functionality:

1. Data Enrichment API

2. Enhance existing records in your database with verified contact data for education professionals.

3. Lead Generation API

4. Automate lead generation campaigns for educational services and products, ensuring your marketing efforts are more efficient.

Leverage Success.ai’s B2B Contact Data for Education Professionals Worldwide to connect with educators, administrators, and decision-makers in the education sector. With veri...

The total annual number of youth, students, teachers, volunteers, and other members of the general public that participated in a program, visited the site, or in any way connected with DEC staff from this Program Location

Access verified Education Marketing Data and Contact Data for education professionals and institutions with Success.ai. Includes profiles of administrators, educators, and marketers - Long list of Attributes. Continuously updated profiles for accurate targeting. Best price guaranteed.

Key contact information for schools in Bradford.

This dataset provides detailed information about schools in California, including district names, school types, multilingual program availability, addresses, and administrative contacts. The dataset is ideal for geospatial analysis, educational research, and resource allocation studies.

Potential Use Cases

• Education Insights Analyze the distribution of public vs. private schools in California. Identify districts with high concentrations of multilingual programs. Study patterns in educational program types across urban and rural regions.

• Geospatial Studies Map the geographical distribution of schools by ZIP code or district. Highlight underserved areas or gaps in access to educational resources.

• Policy Research Provide insights for education policymakers on resource allocation. Identify trends or disparities in school operations.

• Public Resource Create a searchable directory for parents and educators to locate schools.

Source and Compliance Source: All data was collected from publicly available government resources and/or school directories. Privacy Compliance: To adhere to privacy standards and Kaggle's guidelines, fields containing personally identifiable information has removed.

Find verified and up-to-date global education professionals using Success.ai’s B2B Education Industry Data and B2B Contact Data datasets. Includes verified emails, phone numbers, and updated profiles. AI-validated for 99% accuracy. Best price guaranteed.

Data about private schools in Ontario and overseas.

Includes:

• school name
• school number
• credits offered
• principal name
• suite
• PO box
• street address
• city
• province/ country (overseas schools)
• postal code
• telephone number
• fax
• region
• school email address
• school website
• school level
• school special condition code
• program type
• association membership

Contact information is reported by schools in the Ontario School Information System as of August 2025.

The following school types are not included:

• public
• Catholic
• publicly funded hospitals
• provincial
• care, treatment and correctional facilities
• night schools
• adult continuing education day schools

This data is related to:

• How to Request a Notice of Intention to Operate a Private School (NOI) Form (for private school administrators)
• Law: Education Act

Related data:

• Private school enrolment by gender

Contact information for all Alaska public school districts.Source: Alaska Department of Education and Early DevelopmentThis data has been visualized in a Geographic Information Systems (GIS) format and is provided as a service in the DCRA Information Portal by the Alaska Department of Commerce, Community, and Economic Development Division of Community and Regional Affairs (SOA DCCED DCRA), Research and Analysis section. SOA DCCED DCRA Research and Analysis is not the authoritative source for this data. For more information and for questions about this data, see: Alaska District and Schools Information.

Source Paper: https://arxiv.org/abs/1802.06916

  Usage

from torch_geometric.datasets.cornell import CornellTemporalHyperGraphDataset

dataset = CornellTemporalHyperGraphDataset(root = "./", name="contact-high-school", split="train")

  Citation

@article{Benson-2018-simplicial, author = {Benson, Austin R. and Abebe, Rediet and Schaub, Michael T. and Jadbabaie, Ali and Kleinberg, Jon}, title = {Simplicial closure and higher-order link prediction}, year = {2018}, doi =… See the full description on the dataset page: https://huggingface.co/datasets/SauravMaheshkar/contact-high-school.

More Details: http://data.gov.bd/group/education

Institute Basic Information Basic information of Educational Institutions e.g. Name, Address, Type, Student Type, Establishment Date

excel MPO Status of Schools in Secondary Level excel Institutes Having Attached Vocational and Business Management Courses excel Information Related Socio-Economic Background of Parents/Guardian of Secondary Level Students Socio-Economic Background of Parents/Guardians of Secondary Level Students of Different Districts

excel Technical and Vocational Institutes of Bangladesh

Education This Dataset includes the Technical and Vocational Institutes Summary.

xlb Institutional Information of Bangladesh

Education This dataset includes different types of information like: Institution name, Institution type, Division, District and Thana wise institution

xlb Students Information of Bangladesh

Education This dataset includes students information by age, institution, division and district wise.

xlb School-and-College

Education Knowledge about this information will help parents decide on what schools to send their children to based on location, grading (if possible), type of medium etc.

xlsx csv Level of education of population 5 years and above by sex and residence (2012)

Education This data set contains the Level of education of population 5 years and above by sex and residence (2012) including, no school education, primary education to higher secondary education.

xlsx pdf csv Districtwise School and College and Contact Number

Education This Data Set is a list of the available data on Current school and college in all districts and their contact numbers.

xlsx csv Subjectwise Number of Teachers, Students, Institutions (2014)

Education This Data Set contains a detailed list of all the education institutions currently operating in Bangladesh and it is divided subject wise according to number of teachers, students and institutions.

csv xlsx

With data on school locations, categories, and contact information, analysts can explore various aspects of public school distribution, accessibility, and resource allocation. The geographical data allows for mapping and spatial analysis, which can help identify areas with higher concentrations of schools or regions that may lack adequate public education facilities. This dataset's uniform structure makes it suitable for integration with other demographic or socioeconomic datasets, enabling more nuanced analysis of educational accessibility and equity. Several analyses can be performed using this dataset: - Descriptive Statistics: To provide a summary of the dataset, including the number of schools by category, average number of schools per ZIP code, and other basic statistics. - Cluster Analysis: To group schools based on similar characteristics such as location, school type (high, middle, elementary), and size to identify patterns in school distribution. - Accessibility Analysis: To evaluate the ease of access to public schools for students in different areas, considering factors such as distance to schools and availability of public transportation. - Demographic and Socioeconomic Impact Analysis: To understand how demographic and socioeconomic factors influence the distribution and accessibility of public schools.

Contact information for publicly funded schools in Ontario. Includes: * region * board number * board name * board type * board language * school name * school number * school level * school language * school type * school special conditions code * suite * PO box * street * city * province * postal code * phone number * fax * grade range * date open * school email * school website * board website Source: Board School Identification Database (BSID) / Ontario School Information System (OnSIS) as updated/maintained by boards, October 2025. Note: school and board contact information are updated/maintained by boards. Data includes: public and Catholic schools; publicly funded hospital and provincial schools; summer and night schools; Education and Community Partnership Programs (ECPP). Data excludes private schools. Also note: * Grade Range 9-12 may include pre-grade 9 * "Combined schools" offer both elementary and secondary education * school special conditions code "Not applicable" indicates that there are no special conditions for the school

Nearly 18 percent of people in Israel who had either completed elementary or middle school, or had not completed either, reported having no contact with friends in 2022. This was the group with the largest share with this feeling when broken down by education level. Among those with a high school certificate, just over eight percent admitted to the same situation. Only about three percent of those with an academic degree in the country felt the same way that year.

This dataset contains the official listing of all public educational organizations in Connecticut. Data elements include district name, school name, organization type, organization code, address, open date, interdistrict magnet status and grades offered.

Included data are collected by the CT State Department of Education (CSDE) through the Directory Manager (DM) portal in accordance with Connecticut General Statute (C.G.S.) 10-4. This critical information is used by other data collection systems and for state and federal reporting.

For more information regarding DM, please visit http://www.csde.state.ct.us/public/directorymanager/default.asp

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Key contact information for schools in Bradford.

Exploring the impact of contact time on nursing students' academic and practical training in higher education.

This data set contains the contact information (name, mailing address, phone number, etc.) for all publicly funded school boards and school authorities in Ontario. Data includes: * region * board number * board name * board language * board type * suite * PO box * street * city * province * postal code * phone number * fax * website Source: Board School Identification Database (BSID) / Ontario School Information System (OnSIS) as updated/maintained by boards, September 2025. Note: school board and school authority contact information are updated/maintained by boards.

This is an ESRI shape file of school point locations based on the official address. It includes some additional basic and pertinent information needed to link to other data sources. It also includes some basic school information such as Name, Address, Principal, and Principal’s contact information.

Data about private schools in Ontario and overseas. Includes: * school name * school number * credits offered * principal name * suite * PO box * street address * city * province/ country (overseas schools) * postal code * telephone number * fax * region * school email address * school website * school level * school special condition code * program type * association membership Contact information is reported by schools in the Ontario School Information System as of February 2025. The following school types are not included: * public * Catholic * publicly funded hospitals * provincial * care, treatment and correctional facilities * night schools * adult continuing education day schools This data is related to: * How to Request a Notice of Intention to Operate a Private School (NOI) Form (for private school administrators) * Law: Education Act Related data: * Private school enrolment by gender