강의
Power BI로 하는 탐색적 데이터 분석
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업데이트됨 2024. 10.Power BIExploratory Data Analysis3시간9 동영상26 연습 문제2,050 XP48,827성취 증명서
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DataCamp for Business 체험강의 설명
선수 조건
Introduction to DAX in Power BI1
Initial Exploratory Data Analysis in Power BI
You’ll begin this Exploratory Data Analysis (EDA) course by learning how to use descriptive statistics and identify missing data, and apply imputation techniques to fill the gaps in your data.
2
Distributions and Outliers
In the second chapter of this course you'll learn how to identify and address outliers within the dataset. You will build histograms to analyze distributions and use winsorizing to remove outliers.
3
EDA with Categorical Variables
Now it’s time to explore the relationships between categorical variables using proportions. You’ll then use box plots and descriptive statistics to determine how a continuous variable is influenced by a categorical one.
4
Relationships between Continuous Variables
In the final chapter, you’ll dive into scatter plots to analyze the relationship between two continuous variables and calculate the correlation coefficient.
Power BI로 하는 탐색적 데이터 분석
강의 완료
DataCamp for Mobile을 통해 데이터 분석 능력을 향상시키세요.
모바일 강좌와 매일 5분 코딩 챌린지를 통해 이동 중에도 학습 효과를 높이세요.