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본 도서는 한국데이터산업진흥원에서 실시하는 빅데이터분석기사 국가기술자격 필기시험 대비 도서입니다.

개념과 원리 이해를 바탕으로 기본기가 부족한 상태에서 단순한 암기로는 결코 쉽지 않은 자격시험을 본 교재는 쉽고 빠른 자격증 취득으로 이어질 수 있도록 도움을 줄 것입니다.

교수들을 가르치는 교수, ㈜와이즈인컴퍼니의 대표이자 한양대학교 겸임교수로 활동 중인 김원표 대표가 핵심이론과 실전 문제 및 출제 예상 문제를 바탕으로 빅데이터, 통계의 원리와 개념에 대해 풍부한 예시와 함께 풀어냈습니다.

통계, 빅데이터 분석 등 다년간의 데이터사이언스 실무 경험을 바탕으로 비전공자부터 예비 전문가들까지 수험생들이 효율적으로 공부할 수 있도록 각 단원에 대한 포인트를 정리하였습니다.
빅데이터 분석 기획, 빅데이터 탐색, 빅데이터 모델링, 빅데이터 결과 해석 등의 시험범위 전체를 세부적으로 구성하였으며 명쾌한 설명으로 시험에 나오는 내용만 정리하여 전달합니다.

최신개정판에는 최다 예상문제 수록 및 2,3회 기출문제 풀이를 담았습니다.

PART 01 빅데이터 분석 기획
CHAPTER 01 빅데이터의 이해 ㆍ 5
1. 빅데이터의 개요 및 활용 ㆍ 7
01 빅 데 이 터 의 특 징 ·································································· 8
02 빅 데 이 터 의 가 치 ································································ 1 3
03 데 이 터 산 업 의 이 해 ·························································· 1 6
04 빅 데 이 터 조 직 및 인 력 ····················································· 1 9
2. 빅데이터의 기술 및 제도 ㆍ 23
01 빅 데 이 터 플 랫 폼 ································································ 2 4
02 빅 데 이 터 와 인 공 지 능 ························································· 2 7
03 개 인 정 보 법 · 제 도 ······························································ 3 1
04 개 인 정 보 활 용 ··································································· 3 4
CHAPTER 02 데이터 분석 계획 ㆍ 37
1. 분석방안 수립 ㆍ 39
01 분 석 로 드 맵 설 정 ······························································ 4 0
02 분 석 문 제 정 의 ································································· 4 1
03 데 이 터 분 석 방 안 ······························································ 4 7
2. 분석 작업 계획 ㆍ 51
01 데 이 터 확 보 계 획 ······························································ 5 2
02 분 석 절 차 및 작 업 계 획 ···················································53
CHAPTER 03 데이터 수집 및 저장 계획 ㆍ 59
1. 데이터 수집 및 전환 ㆍ 61
01 데 이 터 수 집 ······································································· 6 2
02 데 이 터 유 형 및 속 성 파 악 ··············································· 7 0
03 데 이 터 변 환 ······································································· 7 4
04 데 이 터 비 식 별 화 ································································ 7 6
05 데 이 터 품 질 검 증 ······························································ 8 1
2. 데이터 적재 및 저장 ㆍ 85
01 데 이 터 적 재 ······································································· 8 6
02 데 이 터 저 장 ······································································· 9 0
CHAPTER 04 예상문제 및 풀이 ㆍ 97

PART 02 빅데이터 탐색
CHAPTER 01 데이터 전처리 ㆍ 129
1. 데이터 정제 ㆍ 131
01 데 이 터 정 제 ···································································· 1 3 2
02 데 이 터 결 측 값 처 리 ························································ 1 3 5
03 데 이 터 이 상 값 처 리 ························································ 1 3 8
2. 분석 변수 처리 ㆍ 145
01 변 수 선 택 ········································································ 1 4 6
02 차 원 축 소 ········································································ 1 5 0
03 파 생 변 수 생 성 ······························································· 1 5 5
04 변 수 변 환 ········································································ 1 5 7
05 불 균 형 데 이 터 처 리 ························································ 1 6 1
CHAPTER 02 데이터 탐색 ㆍ 165
1. 데이터 탐색 기초 ㆍ 167
01 데 이 터 탐 색 개 요 ··························································· 1 6 8
02 기 초 통 계 량 추 출 및 이 해 ··············································· 1 7 2
03 상 관 관 계 분 석 ··································································· 1 8 1
04 시 각 적 데 이 터 탐 색 ························································ 1 8 7
2. 고급 데이터 탐색 ㆍ 191
01 시 공 간 데 이 터 탐 색 ························································ 1 9 2
02 다 변 량 데 이 터 탐 색 ························································ 1 9 5
03 비 정 형 데 이 터 탐 색 ························································ 2 0 0
CHAPTER 03 통계기법 이해 ㆍ 205
1. 기술 통계 ㆍ 207
01 데 이 터 요 약 ···································································· 2 0 8
02 표 본 추 출 ········································································ 2 1 5
03 확 률 분 포 ········································································ 2 2 3
04 표 본 분 포 ········································································ 2 4 9
2. 추론 통계 ㆍ 253
01 점 추 정 ············································································· 2 5 4
02 구 간 추 정 ·········································································· 2 5 8
03 가 설 검 정 ·········································································· 2 6 7
CHAPTER 04 예상문제 및 풀이 ㆍ 281

PART 03 빅데이터 모델링
CHAPTER 01 분석 모형 설계 ㆍ 341
1. 분석 절차 수립 ㆍ 343
01 분 석 모 형 선 정 ······························································· 3 4 4
02 분 석 모 형 정 의 ······························································· 3 5 2
03 분 석 모 형 구 축 절 차 ························································ 3 5 4
2. 분석 환경 구축 ㆍ 359
01 분 석 모 형 선 정 ······························································· 3 6 0
02 데 이 터 분 할 ···································································· 3 6 3
CHAPTER 02 분석기법 적용 ㆍ 367
1. 분석기법 ㆍ 369
01 회 귀 분 석 ·········································································· 3 7 0
02 로 지 스 틱 회 귀 분 석 ·························································· 3 7 9
03 의 사 결 정 나 무 ··································································· 3 8 4
04 인 공 신 경 망 ······································································ 3 9 0
05 서 포 트 벡 터 머 신 ··························································· 3 9 7
06 연 관 성 분 석 ···································································· 4 0 3
07 군 집 분 석 ········································································ 4 0 7
2. 고급 분석 기법 ㆍ 415
SECTION 01 범 주 형 자 료 분 석 ··························································· 4 1 6
SECTION 02 다 변 량 분 석 ···································································· 4 2 2
SECTION 03 시 계 열 분 석 ···································································· 4 2 9
SECTION 04 베 이 지 안 기 법 ································································· 4 3 9
SECTION 05 딥 러 닝 분 석 ···································································· 4 4 4
SECTION 06 비 정 형 데 이 터 분 석 ························································ 4 6 0
SECTION 07 앙 상 블 분 석 ···································································· 4 7 6
SECTION 08 비 모 수 통 계 ···································································· 4 8 2
CHAPTER 03 예상문제 및 풀이 ㆍ 495

PART 04 빅데이터 결과해석
CHAPTER 01 분석 모형 평가 및 개선 ㆍ 565
1. 분석모형 평가 ㆍ 567
01 평 가 지 표 ········································································ 5 6 8
02 분 석 모 형 진 단 ······························································· 5 7 2
03 교 차 검 증 ·········································································· 5 7 7
04 모 수 유 의 성 검 정 ··························································· 5 8 1
05 적 합 도 검 정 ···································································· 5 9 3
2. 분석모형 개선 ㆍ 595
01 과 대 적 합 방 지 ······························································· 5 9 6
02 매 개 변 수 최 적 화 ····························································· 5 9 9
03 분 석 모 형 융 합 ································································· 6 0 6
04 최 종 모 형 선 정 ······························································· 6 0 8
CHAPTER 02 분석 결과 해석 및 활용 ㆍ 611
1. 분석결과 해석 ㆍ 613
01 분 석 모 형 해 석 ······························································· 6 1 4
02 비 즈 니 스 기 여 도 평 가 ···················································· 615
2. 분석결과 시각화 ㆍ 617
01 시 공 간 시 각 화 ································································· 6 1 8
02 관 계 시 각 화 ···································································· 6 2 2
03 비 교 시 각 화 ······································································ 6 2 3
04 인 포 그 래 픽 ······································································ 6 2 5
3. 분석결과 활용 ㆍ 627
01 분 석 모 형 전 개 ································································· 6 2 8
02 분 석 결 과 활 용 시 나 리 오 개 발 ········································ 6 3 0
03 분 석 모 형 모 니 터 링 ·························································· 6 3 3
04 분 석 모 형 리 모 델 링 ·························································· 6 3 6
CHAPTER 03 예상문제 및 풀이 ㆍ 639

PART 05 기출복원문제
제2회 시험 기출 복원문제 ㆍ 693
제3회 시험 기출 복원문제 ㆍ 711