Education
16 columns
90 rows
8 formats

Course Completion Rate Analysis

This dataset provides a detailed record of student enrollments, progress, and completion outcomes across courses, including demographic and course-level attributes. It enables in-depth analysis of completion rates, dropout risks, and curriculum effectiveness, supporting data-driven strategies to improve student retention and success. The dataset is ideal for educational institutions seeking actionable insights into student engagement and course performance.

last updated 12 Jul 2025
by GoMask

The brief that made it

Analyzing student course completion and dropout trends

Sample rows

preview · 8 of 90 rows · all 16 columns

student_idstring	completion_statusstring	dropout_risk_scorefloat	course_idstring	enrollment_idstring	enrollment_datedate	completion_datedate	final_gradefloat	progress_percentfloat	last_activity_datedate	student_ageinteger	student_genderstring	student_countrystring	course_titlestring	course_categorystring	course_duration_weeksinteger
stu_101	completed	0.08	CSE101	enr_0001	2023-01-15	2023-04-10	87.2	100	2023-04-09	22	female	United States	Introduction to Computer Science	Computer Science	12
stu_102	completed	0.04	BUS205	enr_0002	2023-02-10	2023-05-07	92.5	100	2023-05-07	28	male	Canada	Principles of Management	Business	14
stu_103	in_progress	0.34	PSY150	enr_0003	2022-11-22	blank	blank	61.5	2023-03-15	19	female	Australia	General Psychology	Psychology	16
stu_104	completed	0.12	ENG201	enr_0004	2023-03-01	2023-06-15	74.8	100	2023-06-14	31	male	India	English Literature II	Literature	14
stu_105	dropped	0.92	MAT151	enr_0005	2022-12-10	blank	blank	23	2023-01-25	26	non_binary	United Kingdom	Calculus I	Mathematics	12
stu_106	completed	0.09	CSE101	enr_0006	2023-01-18	2023-04-11	81.4	100	2023-04-10	25	male	United States	Introduction to Computer Science	Computer Science	12
stu_107	in_progress	0.41	BIO120	enr_0007	2023-02-05	blank	blank	48.7	2023-04-20	24	female	Brazil	General Biology	Biology	10
stu_108	dropped	0.86	BUS205	enr_0008	2023-02-11	blank	blank	18.5	2023-03-02	37	prefer_not_to_say	United States	Principles of Management	Business	14
stu_109	in_progress	0.18	PSY150	enr_0009	2022-12-30	blank	blank	72.9	2023-03-25	21	female	New Zealand	General Psychology	Psychology	16
stu_110	dropped	0.95	CSE101	enr_0010	2023-01-20	blank	blank	11.2	2023-02-10	18	male	United States	Introduction to Computer Science	Computer Science	12
stu_111	in_progress	0.13	ENG201	enr_0011	2023-03-07	blank	blank	85.4	2023-06-01	34	female	Ireland	English Literature II	Literature	14
stu_112	completed	0.21	MAT151	enr_0012	2022-12-15	2023-02-25	68.5	100	2023-02-24	30	male	South Africa	Calculus I	Mathematics	12
stu_113	completed	0.18	BIO120	enr_0013	2023-02-09	2023-04-19	77.9	100	2023-04-18	23	male	Singapore	General Biology	Biology	10
stu_114	in_progress	0.43	BUS205	enr_0014	2023-02-13	blank	blank	59	2023-04-28	27	female	United States	Principles of Management	Business	14
stu_115	dropped	0.89	PSY150	enr_0015	2022-12-05	blank	blank	33.7	2023-01-10	22	male	France	General Psychology	Psychology	16
stu_116	in_progress	0.07	ENG201	enr_0016	2023-03-10	blank	blank	93.6	2023-06-10	29	female	Poland	English Literature II	Literature	14
stu_117	dropped	0.84	MAT151	enr_0017	2022-12-22	blank	blank	27.4	2023-01-15	38	female	Japan	Calculus I	Mathematics	12
stu_118	completed	0.11	BIO120	enr_0018	2023-02-16	2023-04-25	83.3	100	2023-04-24	24	male	United Kingdom	General Biology	Biology	10
stu_119	in_progress	0.22	CSE101	enr_0019	2023-01-27	blank	blank	73.8	2023-04-05	21	female	Canada	Introduction to Computer Science	Computer Science	12
stu_120	dropped	0.94	BUS205	enr_0020	2023-02-18	blank	blank	15.9	2023-03-09	35	male	Mexico	Principles of Management	Business	14

What the 90 rows show

from the 90-row sample

Dropped (completion status) stands out: mean dropout_risk_score is 0.92, against 0.23 for the rest.

0.29median dropout_risk_score
4student genders
8course categories
13course titles
84.5median final_grade
68.3median progress_percent

Mean dropout_risk_score by completion_status90 rows

dropout_risk_score90 rows, in bands of 0.1

Median 0.29, from 0.04 to 0.99.

course_id90 rows · top 10 of 13 values

CSE1018
BUS2058
PSY1508
ENG2017
MAT1517
BIO1207
CRS-ENG-2207
CRS-HIS-1017
CRS-CS-4017
CRS-BUS-2127

16 columns by typefrom the column list below

string 8
integer 2
float 3
date 3

Columns

16 columns in three groups

blueprint · 16 columns
column	type	description	example
Text 8 columns
`student_id`	string	Unique identifier for each student	stu_101
`course_id`	string	Unique identifier for each course	CSE101
`enrollment_id`	string	Unique identifier for each student-course enrollment recordunique	enr_0001
`completion_status`	string	Current status of the enrollment: completed, in_progress, or droppedcompleted · in_progress · dropped	completed
`student_gender`	string	Gender of the studentmale · female · non_binary · prefer_not_to_say · optional	female
`student_country`	string	Country of residence of the studentoptional	United States
`course_title`	string	Official title of the course	Principles of Management
`course_category`	string	Category or subject area of the course8 categories · optional	Computer Science
Numbers 5 columns
`final_grade`	float	Final grade achieved by the student in the course (null if not completed)0 to 100 · optional	87.2
`progress_percent`	float	Percentage of course completed by the student (0-100)0 to 100	100
`dropout_risk_score`	float	Calculated risk score (0-1) indicating the likelihood of student dropout0 to 1 · optional	0.08
`student_age`	integer	Age of the student at time of enrollment0 or more · optional	22
`course_duration_weeks`	integer	Standard duration of the course in weeks1 or more · optional	12
Dates and times 3 columns
`enrollment_date`	date	Date when the student enrolled in the course	2023-01-15
`completion_date`	date	Date when the student completed the course (null if not completed)optional	2023-04-10
`last_activity_date`	date	Date of the student's most recent activity in the courseoptional	2023-04-09

Use it for

An education dashboard
Dropout_risk_score by completion_status and a breakdown of course_id. Excel, Power BI or Tableau.
Why do the 25 dropped rows have a mean dropout_risk_score of 0.92?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Students90
stu_1010.08completed
stu_1020.04completed
stu_1030.34in_progr…
A software demo
Believable students with course_id, enrollment_id and enrollment_date to fill a screen in front of a buyer.

This dataset90 rows16 columns

Yours1,000 rows16 columnsstudent_country: UK only

blueprint · course-completion-rate-analysis

Behind this dataset

Same schema. As many rows as you need.

These 90 rows came out of a blueprint — 16 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with

Record course start and end dates
Include student demographics
Flag courses with >25% dropout rate
Track average time to completion

Rows1,000 rows10,000 rows100,000 rows1,000,000 rows

Open the blueprint in Data Factory

1 credit per row. Preview 20 rows free. Buy rows for the full run.

Exports: CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence: yours to use, including commercially
API slug: course-completion-rate-analysis

What should your data show?

No signup. No card.

Sample rows

What the 90 rows show

Columns

Use it for

An education dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Education

What should your data show?