Exploratory Data Analysis in Power BI

DataCamp

(3)

Course Features

Duration

3 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Teaching Type

Self Paced

Video Content

3 hours

Course Description

Power BI's Exploratory data analysis (EDA) can enhance your reports. To spot outliers and identify missing data, you'll use descriptive statistics. Next, you'll apply imputation techniques in order to fill in gaps in your data. Then, you'll learn how EDA in Power BI helps you discover relationships between variables (both continuous and categorical) by using basic statistical measures as well as box and scatter plots.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Introduction to DAX in Power BI

What You Will Learn

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

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

You’ll then use box plots and descriptive statistics to determine how a continuous variable is influenced by a categorical one

In the final chapter, you’ll dive into scatter plots to analyze the relationship between two continuous variables and calculate the correlation coefficient

Course Content

Expand all sections

Module 1: Initial Exploratory Data Analysis in Power BI

Module 2: Distributions and Outliers

Module 3: EDA with Categorical Variables

Module 4: Relationships between Continuous Variables

Course Instructors

Maarten Van den Broeck

Content Developer at DataCamp

Maarten is an aquatic ecologist and teacher by training and a data scientist by profession. After his career as a Ph.D. researcher at KU Leuven, he wished that he had discovered DataCamp sooner. He l...

Jacob Marquez

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 ...

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