Exploratory Data Analysis in Power BI

Offered byDataCamp

Exploratory Data Analysis in Power BI
at
DataCamp
Overview

Learn what EDA is for Power BI and how it can help you extract insights from your data

Duration	3 hours
Total fee	Free
Mode of learning	Online
Schedule type	Self paced
Official Website	Explore Free Course
Credential	Certificate

Exploratory Data Analysis in Power BI
at
DataCamp
Highlights

Learn from 9 Videos and 26 Exercises

Exploratory Data Analysis in Power BI
at
DataCamp
Course details

Skills you will learn

Statistics Data analysis

More about this course

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
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

Exploratory Data Analysis in Power BI
at
DataCamp
Curriculum

Initial Exploratory Data Analysis in Power BI

What is exploratory data analysis?

Steps to EDA

Initial EDA of AirBnB listings

Identify missing data

Descriptive statistics for a variable

Imputation for missing data

Distributions and Outliers

Distributions and outliers

Choices for finding outliers

Histograms and outliers in AirBnB listings

Create your first histogram

Identify outliers

Addressing outliers in the data

EDA with Categorical Variables

EDA with categorical variables

Histograms vs. box plots

Exploring categorical variables with AirBnB data

Analyzing a categorical variable

Proportions with categorical variables

Analyzing multiple categorical variables

Creating a box plot

Relationships between Continuous Variables

Relationships between continuous variables

Practice interpreting a scatter plot

Exploring AirBnB listings with scatter plots

Analyzing relationships with scatter plots

Adding context to scatter plots

Correlation coefficient

Congratulations!

Exploratory Data Analysis in Power BI
at
DataCamp
Faculty details

Maarten Van den Broeck

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.

Jacob Marquez

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.