Overview

Dataset statistics

Number of variables11
Number of observations197
Missing cells44
Missing cells (%)2.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.2 KiB
Average record size in memory89.6 B

Variable types

Numeric1
Text2
Categorical3
DateTime5

Dataset

Description국가보훈부 지역별 제대군인지원센터에서 실시하는 제대군인 교육 관련 정보* 제대군인지원센터: 강원, 경기남부, 경기북부, 경남, 광주, 대구, 대전, 부산, 서울, 인천, 처본부* 제공항목: 순서, 제목, 제대군인지원센터, 교육대구분, 교육구분, 접수시작일, 접수종료일, 교육시작일, 교육종료일, 교육요약, 등록일
Author국가보훈부
URLhttps://www.data.go.kr/data/15075647/fileData.do

Alerts

교육대구분 is highly overall correlated with 교육구분High correlation
교육구분 is highly overall correlated with 제대군인지원센터 and 1 other fieldsHigh correlation
제대군인지원센터 is highly overall correlated with 교육구분High correlation
교육요약 has 44 (22.3%) missing valuesMissing
순서 has unique valuesUnique

Reproduction

Analysis started2024-03-14 09:42:49.030452
Analysis finished2024-03-14 09:42:50.947782
Duration1.92 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순서
Real number (ℝ)

UNIQUE 

Distinct197
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99
Minimum1
Maximum197
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-03-14T18:42:51.152718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.8
Q150
median99
Q3148
95-th percentile187.2
Maximum197
Range196
Interquartile range (IQR)98

Descriptive statistics

Standard deviation57.013156
Coefficient of variation (CV)0.57589047
Kurtosis-1.2
Mean99
Median Absolute Deviation (MAD)49
Skewness0
Sum19503
Variance3250.5
MonotonicityStrictly increasing
2024-03-14T18:42:51.613827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
125 1
 
0.5%
127 1
 
0.5%
128 1
 
0.5%
129 1
 
0.5%
130 1
 
0.5%
131 1
 
0.5%
132 1
 
0.5%
133 1
 
0.5%
134 1
 
0.5%
Other values (187) 187
94.9%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
197 1
0.5%
196 1
0.5%
195 1
0.5%
194 1
0.5%
193 1
0.5%
192 1
0.5%
191 1
0.5%
190 1
0.5%
189 1
0.5%
188 1
0.5%

제목
Text

Distinct194
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-03-14T18:42:52.691069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length44
Mean length30.832487
Min length8

Characters and Unicode

Total characters6074
Distinct characters386
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique191 ?
Unique (%)97.0%

Sample

1st row23년 1차 변화관리 워크숍
2nd row4월 부산제대군인 생애설계 및 가족힐링체험(숲체험) 워크숍 참석자 모집중(~4.18.까지)
3rd row제대군인 취업역량 강화 워크숍 / 2.16(목) 10:30~17:00
4th row전기기능사 취득 및 전기공사실무
5th row조경관리 온라인 취업 워크숍
ValueCountFrequency (%)
워크숍 46
 
4.2%
제대군인 44
 
4.1%
23
 
2.1%
온라인 22
 
2.0%
및 21
 
1.9%
취업역량강화 18
 
1.7%
2023년 18
 
1.7%
과정 15
 
1.4%
취업 14
 
1.3%
대전센터 12
 
1.1%
Other values (516) 851
78.5%
2024-03-14T18:42:54.255585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
918
 
15.1%
1 146
 
2.4%
2 137
 
2.3%
0 136
 
2.2%
) 132
 
2.2%
( 132
 
2.2%
업 113
 
1.9%
3 107
 
1.8%
인 101
 
1.7%
대 100
 
1.6%
Other values (376) 4052
66.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3651
60.1%
Space Separator 918
 
15.1%
Decimal Number 652
 
10.7%
Other Punctuation 240
 
4.0%
Close Punctuation 229
 
3.8%
Open Punctuation 228
 
3.8%
Math Symbol 44
 
0.7%
Uppercase Letter 42
 
0.7%
Lowercase Letter 38
 
0.6%
Dash Punctuation 24
 
0.4%
Other values (2) 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 113
 
3.1%
인 101
 
2.8%
대 100
 
2.7%
워 97
 
2.7%
크 95
 
2.6%
숍 94
 
2.6%
제 92
 
2.5%
취 84
 
2.3%
군 73
 
2.0%
기 69
 
1.9%
Other values (308) 2733
74.9%
Lowercase Letter
ValueCountFrequency (%)
o 8
21.1%
a 4
10.5%
m 4
10.5%
z 3
 
7.9%
t 3
 
7.9%
r 2
 
5.3%
n 2
 
5.3%
e 2
 
5.3%
v 2
 
5.3%
y 1
 
2.6%
Other values (7) 7
18.4%
Uppercase Letter
ValueCountFrequency (%)
S 6
14.3%
T 5
11.9%
C 5
11.9%
I 4
9.5%
M 3
 
7.1%
A 2
 
4.8%
D 2
 
4.8%
B 2
 
4.8%
K 2
 
4.8%
G 2
 
4.8%
Other values (7) 9
21.4%
Decimal Number
ValueCountFrequency (%)
1 146
22.4%
2 137
21.0%
0 136
20.9%
3 107
16.4%
4 28
 
4.3%
7 24
 
3.7%
6 22
 
3.4%
5 21
 
3.2%
9 18
 
2.8%
8 13
 
2.0%
Other Punctuation
ValueCountFrequency (%)
. 81
33.8%
/ 46
19.2%
: 45
18.8%
, 27
 
11.2%
· 10
 
4.2%
* 9
 
3.8%
! 7
 
2.9%
' 7
 
2.9%
& 6
 
2.5%
" 2
 
0.8%
Math Symbol
ValueCountFrequency (%)
~ 33
75.0%
< 4
 
9.1%
> 4
 
9.1%
+ 3
 
6.8%
Close Punctuation
ValueCountFrequency (%)
) 132
57.6%
] 96
41.9%
」 1
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 132
57.9%
[ 95
41.7%
「 1
 
0.4%
Space Separator
ValueCountFrequency (%)
918
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3651
60.1%
Common 2343
38.6%
Latin 80
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 113
 
3.1%
인 101
 
2.8%
대 100
 
2.7%
워 97
 
2.7%
크 95
 
2.6%
숍 94
 
2.6%
제 92
 
2.5%
취 84
 
2.3%
군 73
 
2.0%
기 69
 
1.9%
Other values (308) 2733
74.9%
Common
ValueCountFrequency (%)
918
39.2%
1 146
 
6.2%
2 137
 
5.8%
0 136
 
5.8%
) 132
 
5.6%
( 132
 
5.6%
3 107
 
4.6%
] 96
 
4.1%
[ 95
 
4.1%
. 81
 
3.5%
Other values (24) 363
 
15.5%
Latin
ValueCountFrequency (%)
o 8
 
10.0%
S 6
 
7.5%
T 5
 
6.2%
C 5
 
6.2%
a 4
 
5.0%
m 4
 
5.0%
I 4
 
5.0%
z 3
 
3.8%
t 3
 
3.8%
M 3
 
3.8%
Other values (24) 35
43.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3651
60.1%
ASCII 2411
39.7%
None 12
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
918
38.1%
1 146
 
6.1%
2 137
 
5.7%
0 136
 
5.6%
) 132
 
5.5%
( 132
 
5.5%
3 107
 
4.4%
] 96
 
4.0%
[ 95
 
3.9%
. 81
 
3.4%
Other values (55) 431
17.9%
Hangul
ValueCountFrequency (%)
업 113
 
3.1%
인 101
 
2.8%
대 100
 
2.7%
워 97
 
2.7%
크 95
 
2.6%
숍 94
 
2.6%
제 92
 
2.5%
취 84
 
2.3%
군 73
 
2.0%
기 69
 
1.9%
Other values (308) 2733
74.9%
None
ValueCountFrequency (%)
· 10
83.3%
」 1
 
8.3%
「 1
 
8.3%

제대군인지원센터
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
서울
45 
대전
23 
부산
21 
광주
19 
경기북부
18 
Other values (6)
71 

Length

Max length4
Median length2
Mean length2.3045685
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기북부
2nd row부산
3rd row대구
4th row대구
5th row서울

Common Values

ValueCountFrequency (%)
서울 45
22.8%
대전 23
11.7%
부산 21
10.7%
광주 19
9.6%
경기북부 18
 
9.1%
대구 18
 
9.1%
경남 14
 
7.1%
경기남부 12
 
6.1%
본부 10
 
5.1%
인천 10
 
5.1%

Length

2024-03-14T18:42:54.512775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울 45
22.8%
대전 23
11.7%
부산 21
10.7%
광주 19
9.6%
경기북부 18
 
9.1%
대구 18
 
9.1%
경남 14
 
7.1%
경기남부 12
 
6.1%
본부 10
 
5.1%
인천 10
 
5.1%

교육대구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
워크숍
143 
전문위탁교육
54 

Length

Max length6
Median length3
Mean length3.822335
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row워크숍
2nd row워크숍
3rd row워크숍
4th row전문위탁교육
5th row워크숍

Common Values

ValueCountFrequency (%)
워크숍 143
72.6%
전문위탁교육 54
 
27.4%

Length

2024-03-14T18:42:54.940808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:42:55.281602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
워크숍 143
72.6%
전문위탁교육 54
 
27.4%

교육구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
취업워크숍
68 
<NA>
54 
특강 및 설명회
32 
힐링교육
22 
창업워크숍
21 

Length

Max length8
Median length5
Mean length5.1015228
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row취업워크숍
2nd row취업워크숍
3rd row취업워크숍
4th row<NA>
5th row취업워크숍

Common Values

ValueCountFrequency (%)
취업워크숍 68
34.5%
<NA> 54
27.4%
특강 및 설명회 32
16.2%
힐링교육 22
 
11.2%
창업워크숍 21
 
10.7%

Length

2024-03-14T18:42:55.668082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:42:56.034073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취업워크숍 68
26.1%
na 54
20.7%
특강 32
12.3%
및 32
12.3%
설명회 32
12.3%
힐링교육 22
 
8.4%
창업워크숍 21
 
8.0%

접수시작일
Date

Distinct114
Distinct (%)57.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2022-12-30 00:00:00
Maximum2024-01-02 00:00:00
2024-03-14T18:42:56.409149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:42:56.838017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

접수종료일
Date

Distinct138
Distinct (%)70.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2023-01-03 00:00:00
Maximum2024-01-02 00:00:00
2024-03-14T18:42:57.251553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:42:57.681220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

교육시작일
Date

Distinct134
Distinct (%)68.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2023-01-11 00:00:00
Maximum2024-01-12 00:00:00
2024-03-14T18:42:57.932768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:42:58.178036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

교육종료일
Date

Distinct134
Distinct (%)68.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2023-01-11 00:00:00
Maximum2024-01-12 00:00:00
2024-03-14T18:42:58.451740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:42:58.880842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

교육요약
Text

MISSING 

Distinct145
Distinct (%)94.8%
Missing44
Missing (%)22.3%
Memory size1.7 KiB
2024-03-14T18:42:59.805011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length149
Median length62
Mean length37.581699
Min length2

Characters and Unicode

Total characters5750
Distinct characters412
Distinct categories14 ?
Distinct scripts3 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique139 ?
Unique (%)90.8%

Sample

1st row구직목표 설정을 위한 제대군인 멘토 및 전문강사 특강
2nd row변화관리,생애설계,숲체험
3rd row전기기능사 취득 및 전기공사실무
4th row조경관리, 조경재료, 조경시공, 조경 취업시장 이해, 직무내용, 사례 소개, 관련 자격증
5th row○ 과목별(예비군법, 병역법, 예비군훈령, 통합방위법) 원문해설 및 기출문제 분석 강의 ○ 공부방법 등 특강 ○ 모의고사 문제풀이
ValueCountFrequency (%)
및 64
 
5.2%
등 25
 
2.0%
○ 24
 
2.0%
위한 21
 
1.7%
특강 20
 
1.6%
창업 14
 
1.1%
면접 13
 
1.1%
멘토 13
 
1.1%
전략 12
 
1.0%
활용한 11
 
0.9%
Other values (620) 1006
82.3%
2024-03-14T18:43:00.958621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1127
 
19.6%
, 301
 
5.2%
기 114
 
2.0%
업 91
 
1.6%
지 74
 
1.3%
전 73
 
1.3%
공 70
 
1.2%
법 69
 
1.2%
리 68
 
1.2%
제 67
 
1.2%
Other values (402) 3696
64.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4026
70.0%
Space Separator 1127
 
19.6%
Other Punctuation 338
 
5.9%
Uppercase Letter 93
 
1.6%
Lowercase Letter 50
 
0.9%
Decimal Number 35
 
0.6%
Close Punctuation 25
 
0.4%
Open Punctuation 25
 
0.4%
Other Symbol 24
 
0.4%
Modifier Symbol 2
 
< 0.1%
Other values (4) 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 114
 
2.8%
업 91
 
2.3%
지 74
 
1.8%
전 73
 
1.8%
공 70
 
1.7%
법 69
 
1.7%
리 68
 
1.7%
제 67
 
1.7%
사 65
 
1.6%
및 65
 
1.6%
Other values (345) 3270
81.2%
Uppercase Letter
ValueCountFrequency (%)
T 20
21.5%
C 12
12.9%
G 11
11.8%
P 10
10.8%
I 6
 
6.5%
M 5
 
5.4%
B 5
 
5.4%
S 4
 
4.3%
A 4
 
4.3%
D 3
 
3.2%
Other values (9) 13
14.0%
Lowercase Letter
ValueCountFrequency (%)
t 14
28.0%
a 12
24.0%
h 10
20.0%
v 3
 
6.0%
n 2
 
4.0%
e 2
 
4.0%
r 1
 
2.0%
p 1
 
2.0%
i 1
 
2.0%
c 1
 
2.0%
Other values (3) 3
 
6.0%
Decimal Number
ValueCountFrequency (%)
2 12
34.3%
1 8
22.9%
3 7
20.0%
4 3
 
8.6%
8 2
 
5.7%
7 1
 
2.9%
9 1
 
2.9%
5 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
, 301
89.1%
/ 21
 
6.2%
& 8
 
2.4%
: 4
 
1.2%
' 2
 
0.6%
. 1
 
0.3%
· 1
 
0.3%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%
Space Separator
ValueCountFrequency (%)
1127
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Other Symbol
ValueCountFrequency (%)
○ 24
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Final Punctuation
ValueCountFrequency (%)
” 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4026
70.0%
Common 1579
 
27.5%
Latin 145
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 114
 
2.8%
업 91
 
2.3%
지 74
 
1.8%
전 73
 
1.8%
공 70
 
1.7%
법 69
 
1.7%
리 68
 
1.7%
제 67
 
1.7%
사 65
 
1.6%
및 65
 
1.6%
Other values (345) 3270
81.2%
Latin
ValueCountFrequency (%)
T 20
13.8%
t 14
 
9.7%
a 12
 
8.3%
C 12
 
8.3%
G 11
 
7.6%
h 10
 
6.9%
P 10
 
6.9%
I 6
 
4.1%
M 5
 
3.4%
B 5
 
3.4%
Other values (24) 40
27.6%
Common
ValueCountFrequency (%)
1127
71.4%
, 301
 
19.1%
) 25
 
1.6%
( 25
 
1.6%
○ 24
 
1.5%
/ 21
 
1.3%
2 12
 
0.8%
& 8
 
0.5%
1 8
 
0.5%
3 7
 
0.4%
Other values (13) 21
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4025
70.0%
ASCII 1695
29.5%
Geometric Shapes 24
 
0.4%
Punctuation 2
 
< 0.1%
Number Forms 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1127
66.5%
, 301
 
17.8%
) 25
 
1.5%
( 25
 
1.5%
/ 21
 
1.2%
T 20
 
1.2%
t 14
 
0.8%
2 12
 
0.7%
a 12
 
0.7%
C 12
 
0.7%
Other values (41) 126
 
7.4%
Hangul
ValueCountFrequency (%)
기 114
 
2.8%
업 91
 
2.3%
지 74
 
1.8%
전 73
 
1.8%
공 70
 
1.7%
법 69
 
1.7%
리 68
 
1.7%
제 67
 
1.7%
사 65
 
1.6%
및 65
 
1.6%
Other values (344) 3269
81.2%
Geometric Shapes
ValueCountFrequency (%)
○ 24
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%
Punctuation
ValueCountFrequency (%)
” 1
50.0%
“ 1
50.0%
None
ValueCountFrequency (%)
· 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%

교육등록일
Date

Distinct110
Distinct (%)55.8%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2022-12-30 00:00:00
Maximum2024-01-02 00:00:00
2024-03-14T18:43:01.193359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:43:01.435146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2024-03-14T18:42:49.859735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T18:43:01.600173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서제대군인지원센터교육대구분교육구분
순서1.0000.2330.2880.066
제대군인지원센터0.2331.0000.0870.709
교육대구분0.2880.0871.000NaN
교육구분0.0660.709NaN1.000
2024-03-14T18:43:01.771488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제대군인지원센터교육대구분교육구분
제대군인지원센터1.0000.0800.504
교육대구분0.0801.0001.000
교육구분0.5041.0001.000
2024-03-14T18:43:02.012024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서제대군인지원센터교육대구분교육구분
순서1.0000.1030.2030.032
제대군인지원센터0.1031.0000.0800.504
교육대구분0.2030.0801.0001.000
교육구분0.0320.5041.0001.000

Missing values

2024-03-14T18:42:50.240045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T18:42:50.749835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

순서제목제대군인지원센터교육대구분교육구분접수시작일접수종료일교육시작일교육종료일교육요약교육등록일
0123년 1차 변화관리 워크숍경기북부워크숍취업워크숍2023-03-272023-04-062023-04-072023-04-07구직목표 설정을 위한 제대군인 멘토 및 전문강사 특강2023-03-27
124월 부산제대군인 생애설계 및 가족힐링체험(숲체험) 워크숍 참석자 모집중(~4.18.까지)부산워크숍취업워크숍2023-04-032023-04-182023-04-202023-04-20변화관리,생애설계,숲체험2023-04-03
23제대군인 취업역량 강화 워크숍 / 2.16(목) 10:30~17:00대구워크숍취업워크숍2023-02-082023-02-152023-02-162023-02-16<NA>2023-02-08
34전기기능사 취득 및 전기공사실무대구전문위탁교육<NA>2023-02-212023-05-092023-05-102023-07-20전기기능사 취득 및 전기공사실무2023-02-21
45조경관리 온라인 취업 워크숍서울워크숍취업워크숍2023-08-072023-08-182023-08-182023-08-18조경관리, 조경재료, 조경시공, 조경 취업시장 이해, 직무내용, 사례 소개, 관련 자격증2023-08-07
56예비전력업무담당자광주전문위탁교육<NA>2023-02-132023-08-042023-05-042023-08-04○ 과목별(예비군법, 병역법, 예비군훈령, 통합방위법) 원문해설 및 기출문제 분석 강의 ○ 공부방법 등 특강 ○ 모의고사 문제풀이2023-02-13
67[서울센터] 2023년 제3회 제대군인 창업 워크숍(일반)본부워크숍창업워크숍2023-05-042023-05-102023-05-102023-05-10ChatGPT를 활용한 사업계획서 작성법, 실패하지 않는 창업 전략, 성공적인 예비창업자금 확보를 위한 준비사항2023-05-04
786월 호국보훈의 달 여성 제대군인 보훈탐방 및 멘토-멘티 만남의 날 개최부산워크숍힐링교육2023-06-052023-06-232023-06-272023-06-27<NA>2023-06-05
89초경량비행장치 무인멀티콤터 1종 국가자격증 취득과정(드론)대구전문위탁교육<NA>2023-02-212023-05-192023-05-222023-06-09드론1종 자격취득과정2023-02-21
910[창업워크숍 23-6차]5.19.(금) 세무서울워크숍창업워크숍2023-04-142023-05-182023-05-192023-05-19심화교육2023-04-14
순서제목제대군인지원센터교육대구분교육구분접수시작일접수종료일교육시작일교육종료일교육요약교육등록일
187188드론 국가자격증 1종 취득 (1기)경남전문위탁교육<NA>2023-08-242023-10-112023-10-022023-10-24드론에 대한 이해와 지식 습득 및 교육생 개개인의 조종능력 배양 및 국가자격증 취득2023-08-24
188189[대전센터]오송생명과학단지지원센터 청원경찰 채용시험대비 온라인 멘토특강대전워크숍특강 및 설명회2023-03-032023-03-082023-03-092023-03-09<NA>2023-03-03
189190특수경비원 양성 1기경기남부전문위탁교육<NA>2023-03-102023-05-032023-05-192023-05-27출입통제요령, 관찰기록법, 폭발물처리요령,경비업법, 경찰관직무집행법,총기조작, 사격, 체포호신술, 응급처치법, 화재대처법, 정보보호 등2023-03-10
190191[경기북부]제대군인 1박2일 치유여행 참가자 모집(3.25~26/충북제천/무료/선착순)경기북부워크숍힐링교육2023-02-212023-03-202023-03-252023-03-26<NA>2023-02-21
191192**마감임박!!!**<인천>'진로를 찾아서 2탄!'항공사취업_비행기를 움직이는 사람들인천워크숍취업워크숍2023-08-182023-09-152023-09-222023-09-22<NA>2023-08-18
192193[광주]5차 중장년층 제군 취업역량강화 워크숍광주워크숍취업워크숍2023-06-052023-06-212023-06-222023-06-22사회복지관련 일자리 취업을 위한 변화관리, 자기소개서 작성법2023-06-05
193194제대군인주간 제대군인 마음톡톡(스트레스관리-타로 카드) 워크숍 참가자 모집부산워크숍특강 및 설명회2023-09-262023-10-102023-10-112023-10-11<NA>2023-09-26
194195[경기남부] 2023년 제2회 제대군인 창업 워크숍(일반)본부워크숍창업워크숍2023-04-052023-04-262023-04-272023-04-27제대군인과 기업가정신, 실패하지 않는 창업 전략, 초기 창업자에 도움이 되는 소상공인 지원제도2023-04-05
1951966월 호국보훈의 달 영도구가족센터 연계 가족소통 워크숍(즐거우리 우리인생) 참가자 모집부산워크숍힐링교육2023-06-022023-06-212023-06-222023-06-22<NA>2023-06-02
196197[부산센터] 2023년 제10회 제대군인 창업 워크숍(일반)본부워크숍창업워크숍2023-10-062023-11-062023-10-062023-11-06ChatGPT를 활용한 사업계획 구체화, 실패하지 않는 창업 전략, 사업성공을 위한 상권분석과 마케팅2023-10-06