Can each student get a different dataset?

Yes. Describe the dataset once in GoMask Data Factory and generate as many versions as you have students. Each has the same columns and the same pattern to find, but different rows, so answers can't be copied.

Is the data safe to use in class?

Yes. Every row is synthetic, so there is no personal data to protect and students can publish their work.

Which tools do these work with?

All of them. Downloads come as Excel, CSV, JSON, Parquet, JSONL, SQL, TSV and XML, for Excel, Google Sheets, SQL, Python, R, Power BI and Tableau.

Datasets by use case

Datasets for Teaching Data Analysis

Teaching data analysis works best with data that has an answer in it. These datasets are small enough to open in Excel, realistic enough to be interesting, and synthetic, so students can share their work freely. And when every student submits the same Superstore chart, GoMask can generate a different version of a dataset for each of them.

Education data students recognise

Student performance with attendance and at-risk flags, grade records with GPA and academic standing, course enrolment and completion, and course feedback with sentiment.

Education23 cols · 120 rows

Student Performance Tracking

This dataset provides a detailed, student-level view of academic performance, attendance, and intervention history, enabling educators to monitor progress, identify at-risk students, and tailor support strategies. It includes assessment scores, course and teacher information, intervention records, and attendance tracking, making it ideal for data-driven educational improvement and early warning systems.

first_name	last_name	course_name
Olivia	Lopez	Biology
Mason	Choi	Mathematics
Emma	Nguyen	English Literature

student_iddate_of_birthgender+17 more

Education16 cols · 200 rows

Grade Records

This dataset provides detailed academic performance records for students, including individual course grades, GPA calculations, credit information, and academic standing per term. It is ideal for tracking student progress, analyzing academic trends, and supporting institutional reporting and interventions.

student_first_name	student_last_name	course_name
Emily	Garcia	Calculus I
Jamal	ONeil	Introduction to Psychology
Priya	Singh	Organic Chemistry

record_idstudent_iddate_of_birth+10 more

Education9 cols · 200 rows

Course Enrollment

This dataset provides comprehensive records of student course enrollments, including course codes, sections, instructor assignments, enrollment and completion dates, and final statuses. It enables detailed tracking of academic progress, instructor workloads, and course outcomes, making it valuable for educational analytics and institutional reporting.

course_code	section	completion_status
MATH101	A	completed
ENG202	B	enrolled
CSCI305	001	failed

enrollment_idstudent_idinstructor_id+3 more

Education13 cols · 200 rows

Student Feedback Sentiment Analysis

This dataset provides detailed student feedback on courses, enriched with sentiment analysis labels and scores, course and instructor metadata, and student academic context. It enables educators and administrators to systematically analyze curriculum effectiveness, identify areas for improvement, and track sentiment trends over time for data-driven decision making.

sentiment_label	course_title	instructor_name
positive	Introduction to Computer Science	Dr. Alicia Thornton
neutral	Principios de Economía	Prof. Ricardo Alvarez
neutral	数据结构基础	Dr. Li Wei

feedback_idstudent_idcourse_id+7 more

First assignments

Simple, clean tables for a first pivot table, a first GROUP BY or a first chart: store sales, household budgets, footfall by day of the week and quality inspections by shift.

Other18 cols · 200 rows

Small Retailer Sales Transactions

This dataset provides detailed transaction-level sales data from small local retailers, including product, payment, and retailer information. It enables comprehensive analysis of sales trends, business performance, and consumer behavior, supporting decision-making for retail operations and market research.

retailer_name	product_name	product_category
SuperMart Downtown	Organic Milk Gallon	Grocery
ElectroHub	Bluetooth Headphones	Electronics
Fashionista	Summer Dress	Apparel

transaction_idtransaction_dateretailer_id+12 more

Finance18 cols · 200 rows

Personal Finance Budgeting Records

This dataset provides detailed, household-level records of income and expenses, including transaction categories, payment methods, recurrence patterns, and basic household demographics. It enables comprehensive budgeting analysis, supports financial literacy initiatives, and can power personalized financial recommendations and research into household spending habits.

record_type	category	subcategory
income	salary	–
expense	rent	–
income	investment	dividends

household_idrecord_idamount+12 more

Other15 cols · 200 rows

Retail In-Store Foot Traffic Counts

This dataset provides anonymized, daily foot traffic counts for physical retail locations, enriched with store details, holiday indicators, weather conditions, and special event annotations. It enables robust sales forecasting, staffing optimization, and marketing campaign impact analysis by correlating footfall with external factors and store attributes.

store_name	day_of_week	is_holiday
FreshMart Downtown	Friday	false
MegaMart Uptown	Saturday	false
Boutique Parisienne	Friday	true

foot_traffic_idstore_idstore_street_address+9 more

Manufacturing15 cols · 200 rows

Manufacturing Quality Control Dataset

This dataset provides detailed manufacturing quality control records, including batch production information, inspection results, defect types and severities, and quality scores. It enables manufacturers to monitor process performance, identify recurring issues, and drive continuous improvement in product quality and operational efficiency.

shift	quality_score	defect_type
afternoon	99.7	–
morning	87.4	–
night	81.1	scratch

batch_iddefect_severityrework_required+9 more

Projects with a question to answer

Richer datasets for a final project: why employees leave, which support tickets take longest, and which returns cost the most.

Human Resources26 cols · 200 rows

Employee Attrition Prediction Dataset

This dataset provides detailed HR records for employees, including demographics, job history, satisfaction, performance, and attrition status. It is ideal for building predictive models to identify turnover risks, analyze workforce trends, and inform retention strategies. Rich features enable advanced analytics for HR decision-making and organizational planning.

first_name	last_name	marital_status
Riya	Patel	Married
Carlos	Dominguez	Single
Aisha	Okafor	Widowed

employee_idgenderdate_of_birth+20 more

Technology17 cols · 200 rows

Customer Support Ticket Resolution

This dataset provides comprehensive logs of customer support tickets, including detailed issue descriptions, resolution times, outcomes, agent involvement, and customer satisfaction ratings. It enables analysis of support process efficiency, identification of bottlenecks, and development of NLP models for automated ticket classification and resolution prediction.

customer_name	ticket_status	issue_category
Javier Martinez	open	billing
Samantha Lee	resolved	account
Ahmed Al-Sayed	pending	billing

ticket_idcustomer_idcustomer_email+11 more

E-commerce22 cols · 200 rows

Online Retail Product Return Analytics

This dataset provides detailed, flat records of e-commerce product returns, including transaction details, customer demographics, product information, and reasons for return. It is designed for supply chain optimization, quality improvement, and customer experience analysis, enabling granular insights into return patterns and drivers across products and customer segments.

product_name	return_reason	refund_amount
UltraHD Smart TV 55in	defective	449.99
Womens Summer Dress L	size issue	39.99
Modern Floor Lamp Black	not as described	125

time_to_return_daysreturn_methodcustomer_country+16 more

Every dataset in this collection

11 datasets