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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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Descrição do Curso

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.
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Nas seguintes faixas

Certificação disponível

Analista de dados no Power BI

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  1. 1

    Initial Exploratory Data Analysis in Power BI

    Livre

    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.

    Reproduzir Capítulo Agora
    What is exploratory data analysis?
    50 xp
    Steps to EDA
    100 xp
    Initial EDA of AirBnB listings
    50 xp
    Identify missing data
    100 xp
    Descriptive statistics for a variable
    100 xp
    Imputation for missing data
    100 xp
  2. 2

    Distributions and Outliers

    Livre

    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.

    Reproduzir Capítulo Agora
    Distributions and outliers
    50 xp
    Choices for finding outliers
    50 xp
    Histograms and outliers in AirBnB listings
    50 xp
    Create your first histogram
    100 xp
    Identify outliers
    100 xp
    Addressing outliers in the data
    100 xp
  3. 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.

    Reproduzir Capítulo Agora
    EDA with categorical variables
    50 xp
    Histograms vs. box plots
    100 xp
    Exploring categorical variables with AirBnB data
    50 xp
    Analyzing a categorical variable
    100 xp
    Proportions with categorical variables
    100 xp
    Analyzing multiple categorical variables
    100 xp
    Creating a box plot
    100 xp
  4. 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.

    Reproduzir Capítulo Agora
    Relationships between continuous variables
    50 xp
    Practice interpreting a scatter plot
    50 xp
    Exploring AirBnB listings with scatter plots
    50 xp
    Analyzing relationships with scatter plots
    100 xp
    Adding context to scatter plots
    100 xp
    Correlation coefficient
    100 xp
    Congratulations!
    50 xp
For Business

GroupTraining 2 or more people?

Get your team access to the full DataCamp library, with centralized reporting, assignments, projects and more

Nas seguintes faixas

Certificação disponível

Analista de dados no Power BI

Ir para a trilha

Datasets

Exercises and DatasetsDataCamp vs. Local Experience

Collaborators

Collaborator's avatar
Carl Rosseel

Prerequisites

Introduction to DAX in Power BI
Jacob Marquez HeadshotJacob Marquez

Data Scientist at Microsoft

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