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        <title>데이터 신 | 데이터 분석가 성장 기록</title>
        <link>https://datashin.inblog.io</link>
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        <pubDate>Mon, 17 Feb 2025 08:27:01 GMT</pubDate>
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              <title>평균·표준편차부터 가설검정까지: 데이터 분석가를 위한 통계학 핵심 가이드</title>
              <link>https://datashin.inblog.io/평균표준편차부터-가설검정까지-데이터-분석가를-위한-통계학-핵심-가이드-46369</link>
              <description>데이터 분석 리포트 작성이 어려우신가요? 평균·중앙값 요약법부터 신뢰구간 해석법까지, 데이터 분석가에게 꼭 필요한 통계적 사고력 키우는 방법</description>
              <pubDate>Sun, 09 Mar 2025 10:05:35 GMT</pubDate>
              <guid>https://datashin.inblog.io/평균표준편차부터-가설검정까지-데이터-분석가를-위한-통계학-핵심-가이드-46369</guid>
              
              <author>데이터 신</author>
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              <title>데이터 분석 핵심: 사분위수 완벽 가이드 (Python 코드 &amp; 상자 그림)</title>
              <link>https://datashin.inblog.io/데이터-분석-핵심-사분위수-완벽-가이드-python-코드-상자-그림-46368</link>
              <description>데이터 분포, 어떻게 파악하고 계신가요? 사분위수 분석으로 데이터의 중심 경향과 이상치를 한눈에! pandas 라이브러리 활용법과 IQR 기반 이상치 식별법까지, 지금 바로 블로그에서 확인하세요.</description>
              <pubDate>Sun, 09 Mar 2025 09:44:25 GMT</pubDate>
              <guid>https://datashin.inblog.io/데이터-분석-핵심-사분위수-완벽-가이드-python-코드-상자-그림-46368</guid>
              
              <author>데이터 신</author>
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              <title>효과적인 분석을 위한 데이터 전처리 기법과 파이썬 코드</title>
              <link>https://datashin.inblog.io/효과적인-분석을-위한-데이터-전처리-기법과-파이썬-코드-45505</link>
              <description>결측치 처리부터 PCA를 이용한 특성 추출까지, 데이터 분석의 성공을 좌우하는 전처리 기법을 상세히 알아봅니다. 실제 코드 예시와 함께 각 방법의 장단점을 비교하여 최적의 전처리 전략을 수립하세요.</description>
              <pubDate>Mon, 03 Mar 2025 15:12:22 GMT</pubDate>
              <guid>https://datashin.inblog.io/효과적인-분석을-위한-데이터-전처리-기법과-파이썬-코드-45505</guid>
              
              <author>데이터 신</author>
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              <title>두 집단의 차이가 유의미할까? | 데이터 분석과 t검정</title>
              <link>https://datashin.inblog.io/두-집단의-차이가-유의미할까-데이터-분석과-t검정-45501</link>
              <description>t검정: 두 집단 간 평균 차이의 통계적 유의성을 검증하는 방법. 표본 크기가 작거나 모집단의 표준편차를 모를 때 사용되는 핵심적인 통계 기법으로, 데이터 분석과 연구에서 널리 활용됩니다.</description>
              <pubDate>Mon, 03 Mar 2025 06:22:10 GMT</pubDate>
              <guid>https://datashin.inblog.io/두-집단의-차이가-유의미할까-데이터-분석과-t검정-45501</guid>
              
              <author>데이터 신</author>
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              <title>양치기 소년과 늑대 이야기로 알아보는 1종/2종 오류와 p-value</title>
              <link>https://datashin.inblog.io/데이터-분석가가-반드시-알아야-할-제1종제2종-오류-완벽-분석-44022</link>
              <description>양치기 소년과 늑대 이야기를 통해 1종 오류, 2종 오류, p-value의 개념을 쉽게 이해하세요. 데이터 분석가에게 필수적인 이 통계적 개념들을 재미있는 스토리와 함께 알아보고, Python 코드로 실제 적용 예시도 확인해보세요.</description>
              <pubDate>Mon, 17 Feb 2025 08:47:00 GMT</pubDate>
              <guid>https://datashin.inblog.io/데이터-분석가가-반드시-알아야-할-제1종제2종-오류-완벽-분석-44022</guid>
              
              <author>데이터 신</author>
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