FeaturedUdemy
Exploratory Data Analysis in Power BI
4.8(3,837)51k studentsBEGINNEREnglish
Korshub's take
The Korshub Take
This beginner course guides data analysts through essential Exploratory Data Analysis (EDA) techniques directly within Power BI. It focuses on turning raw tables into structured visual insights, helping you evaluate data distributions and uncover hidden relationships before building formal dashboards.
Who It's For
Aspiring data analysts and business intelligence professionals who want to clean, inspect, and summarize datasets using Power BI.
Key Takeaways
- Descriptive & Visual EDA: Calculate descriptive statistics and construct histograms, box plots, and scatter plots.
- Data Cleaning: Identify missing values, detect outliers, and examine skewness across categorical and continuous variables.
- Correlation Analysis: Calculate correlation coefficients to evaluate variable relationships and guide further analytical modeling.
About this course
Introduction to Exploratory Data Analysis in Power BI
Enhance your reports with Power BI's Exploratory Data Analysis (EDA)! This beginner course for data analysts covers foundational aspects of EDA, including descriptive statistics, handling missing data, analyzing distributions, and identifying outliers. You'll learn to use histograms, box plots, and scatter plots to visualize data, interpret distributions, and understand relationships between variables.Apply Statistical Techniques
Explore how to manage categorical and continuous variables, use advanced visualization techniques, and calculate correlation coefficients. Interactive exercises and real-world examples ensure you can apply these skills to analyze and interpret your data effectively.Price
Free
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