Education & Academia Dataset Generator

Generate relational data for students, courses, faculty, and more.

Advanced Options

Select your options and click "Generate Data".

Data Preview

Preview will appear here...

The Ultimate Education & Academia Dataset Generator

Every educational data analyst knows the challenge: understanding the full student lifecycle, from enrollment to graduation, requires a complex, multi-faceted dataset. Finding realistic practice data that connects student demographics, course performance, and faculty information is nearly impossible.

That’s why we built the PNRao Education & Academia Data Generator.

This powerful tool creates a complete, enterprise-grade academic dataset with a single click. Whether you’re an institutional researcher analyzing retention rates, a student learning about educational data mining, or an administrator building a case for a new program, this generator provides the data you need. Stop working with simple student lists and start analyzing the entire academic ecosystem.

Why This Dataset is a Powerful Learning Tool

Learning academic analytics with abstract numbers can be challenging. This generator provides a realistic context that makes complex concepts easier to grasp.

  • Builds a Narrative: You can step into the role of a Data Analyst for the PNRao University. Your task could be to identify at-risk students, analyze which courses have the highest failure rates, or understand the correlation between class attendance and final grades. This narrative-driven practice helps solidify your understanding.
  • Makes Concepts Concrete: When you see a Gradebook table linked to Students and Courses, abstract concepts become tangible. This makes metrics like Grade Point Average (GPA), student retention rates, and course success rates easier to understand because you can see how they are built from the ground up.
  • Encourages Realistic Analysis: The rich context inspires more creative and insightful analysis. You might build a dynamic student success dashboard in Power BI or create a report in Excel to forecast enrollment for upcoming semesters. This allows you to practice not just the technical skills, but also the art of data storytelling.

Designed for Real-World Academic Analysis

This dataset isn’t just a random collection of tables. It has been carefully crafted to mirror the data structures you will find in actual Student Information Systems (SIS), making it the perfect tool to develop practical, job-ready skills.

  • Reflects Core Academic Operations: Every university deals with students, courses, instructors, and grades. The tables in this generator represent the core of what you will encounter professionally. By understanding how these tables relate to each other, you are learning the fundamental blueprint of academic data.
  • Focus on a High-Demand Skillset: Institutional research and educational data mining are critical functions for any academic institution. The skills you build here—analyzing enrollment trends, tracking student success metrics, and evaluating program effectiveness—are directly transferable to the tasks and challenges you will face in a real data analytics or administrative role in education.
  • Covers a Wide Range of Concepts: The structure of this data is intentionally designed to be a comprehensive playground for learning. With this single resource, you can practice:
    • Excel/Sheets Functions: Use VLOOKUP or XLOOKUP to connect student IDs with names, SUMIFS and COUNTIFS to create summary reports, and PivotTables to analyze grades by department.
    • Statistical Analysis: Use the data to practice correlation analysis (e.g., attendance vs. grades) or to build simple predictive models for student success.
    • Data Cleaning: Use the “messy data” option to practice cleaning and validating student records and enrollment data.
    • Advanced Analysis: The interconnected tables are perfect for practicing relationship-building in Power BI or writing SQL JOIN queries to combine data from multiple sources for a complete analysis.

In short, learning with this dataset ensures you are not just practicing abstract concepts, but preparing yourself with the practical knowledge and experience valued by employers.

Tables Overview

The generator produces a wide array of datasets across different academic functions. Each dataset has a unique structure, as detailed below.

Student & Enrollment Data

Table Name Description Columns
Student Roster The master list of all students. StudentID, FirstName, LastName, Email, Major, EnrollmentYear
Enrollments Records of which students are enrolled in which classes. EnrollmentID, StudentID, ClassID, EnrollmentDate
Degrees Awarded A log of all degrees conferred to students upon graduation. DegreeID, StudentID, Degree, Major, GraduationDate

Academics & Courses

Table Name Description Columns
Course Catalog A list of all courses offered by the university. CourseID, CourseName, Department, Credits
Class Schedule Details of specific class sections offered each semester. ClassID, CourseID, InstructorID, Semester, Year, RoomNumber, Capacity
Gradebook Individual grades for assignments within each class. GradeID, StudentID, ClassID, Assignment, Grade

Faculty & Staff

Table Name Description Columns
Instructors A master list of all faculty members. InstructorID, FirstName, LastName, Department, Title, HireDate

Campus & Facilities

Table Name Description Columns
Departments A list of all academic departments. DepartmentID, DepartmentName, School
Library Checkouts A log of all books checked out from the library. CheckoutID, StudentID, BookTitle, CheckoutDate, DueDate, ReturnedDate

Performance & Outcomes

Table Name Description Columns
Class Attendance A log of student attendance for each class session. AttendanceID, StudentID, ClassID, ClassDate, Status
Student GPA A summary of each student’s Grade Point Average per semester. GPA_ID, StudentID, Semester, Year, GPA

How to Use This App

  1. Select a Table to Preview: Use the “Select Table to Preview” dropdown menu to choose the type of data you want to inspect.
  2. Specify the Number of Students: Enter the desired number of students. This is the main driver; a higher number will generate more related records in all other tables.
  3. Configure Advanced Options (Optional): Click on Advanced Options to expand the menu.
    • Date Range: Select a Start Date and End Date to constrain the generated data to a specific time period.
    • Data Quality: Choose the quality of your dataset (Clean, Slightly Messy, or Very Messy).
  4. Generate the Data: Click the “Generate All Datasets” button. The application will process your request and display a preview of your selected table.
  5. Download Your Data:
    • Preview: To quickly download just the data shown in the preview table, click “Download Preview (CSV)” or “Download Preview (Excel)”.
    • All Related Tables: Click “Download All Tables (Excel)” to download a single Excel file with every table on a separate, clearly named sheet. This is the best option for relational analysis.

How to Use This Data

  • For Data Analysts & BI Professionals:
    • Student Success Dashboards: Use the Student Roster, Gradebook, and Attendance tables to build a dashboard in Tableau or Power BI that identifies at-risk students.
    • Program Analysis: Analyze enrollment trends, course popularity, and graduation rates by major.
    • Practice SQL: Load the tables into a database and practice writing complex JOIN queries to link students to their courses, grades, and instructors.
  • For Students & Educators:
    • Create realistic case studies for education administration, institutional research, and data science courses.
    • Use the data as a foundation for assignments on calculating student retention, analyzing grade distributions, and forecasting enrollment.

Feedback & Suggestions

This tool is built for you. If you have an idea for a new academic table or an improvement, please leave your feedback in the comments section below.