logo-mooc
search-iconsearch-icon
menu-whitemenu-blue
GRATIS
Inicio / Buscador / Ciencia de Datos / Análisis de Datos
SkillUp EdTech vía Coursera
GRATIS

Power BI Data Analyst Associate Prep

  • money

    Cursos gratis (Auditar)

    question-mark
  • earth

    Inglés

  • folder

    NaN

  • certificate

    Guía de Registro en Coursera

    arrow
VER CURSO arrow
Acerca de este curso

  • Data preparation and modeling in Power BI
    • The module begins with an overview of the features and components of Power BI that make it a great tool for data analysis. You’ll be able to explain how to retrieve data from different data sources and import it into Power BI by using Power Query. You’ll also learn how to clean and shape data for analysis purposes and load it into Power BI before getting into data modeling.

      Additionally, you will gain insight into Power BI data model frameworks, their benefits, limitations, and features that help optimize the selection of a Power BI data model. You will also learn to simplify the process of designing data models with an emphasis on the use of tables and dimensions and the significance of correct data granularity.

      Finally, you will gain insight into advanced data modeling features and how to perform advanced model calculations by using Data Analysis Expression (DAX) functions. You’ll also learn to add measures to Power BI Desktop models for enhancing the visualization of model data.
  • Data visualization and analysis in Power BI
    • In this module, you’ll explore various visualization strategies that enable you to implement effective data visualization. You will learn how to use core desktop visualization types to design visually appealing reports. Additionally, you will gain insight into formatting and configuring visualizations and discover techniques to perform data analytics by using the Analyze feature in Power BI.

      Finally, you’ll dive into how to use the Analytics feature for performing data analytics within Power BI, which helps you perform tasks such as identifying outliers, grouping data, and applying time series analysis.
  • Assets deployment and maintenance
    • In this module, you’ll explore asset deployment by creating a Power BI service workspace and dynamic dashboards. Additionally, you will learn how to manage and promote datasets and implement essential measures to ensure row-level security (RLS) in Power BI.