Exploratory Data Analysis in Power BI
Enhance your reports with Power BI's Exploratory Data Analysis (EDA). Learn what EDA is for Power BI and how it can help you extract insights from your data.
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Course Description
Exploratory Data Analysis
Enhance your reports with Power BI's Exploratory Data Analysis (EDA). You'll start by using descriptive statistics to spot outliers, identify missing data, and apply imputation techniques to fill gaps in your dataset.Apply Statistical Techniques
You’ll then learn how EDA in Power BI can help you discover the relationships between variables—both categorical and continuous— by using basic statistical measures and box and scatter plots.- 1
Initial Exploratory Data Analysis in Power BI
FreeYou’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
FreeIn 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.
In the following tracks
Data Analyst in Power BICollaborators
Prerequisites
Introduction to DAX in Power BIJacob Marquez
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Data Scientist at Microsoft
Jacob H. Marquez is an insatiable learner and lifelong builder. He is a data scientist by day, answering audacious questions to support customer experience and company goals. He is a serial hobbyist by day and night: being an educator, building a coffee recommendation app, drinking coffee, writing on Medium, and amateur cycling and muay thai. He has a bachelor's in psychology and a master's in computational analytics (2024).
Maarten Van den Broeck
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Senior Content Developer at DataCamp
Maarten is an aquatic ecologist and teacher by training and a data scientist by profession. He is also a certified Power BI and Tableau data analyst. After his career as a PhD researcher at KU Leuven, he wished that he had discovered DataCamp sooner. He loves to combine education and data science to develop DataCamp courses. In his spare time, he runs a symphonic orchestra.
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- Ankush B.10 days
Concepts of EDA well explained within the realm of Power BI.
- Wenyu H.25 days
Very good course, carefully prepared and structures. Covers almost all needed for thw Pl300 exam.
- Chrispine T.29 days
Very informative
- Anita B.8 months
Great to know We can include Python as visualisation.
- Sindi I.9 months
I love
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