Power BI Data Analyst Associate Prep

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Power BI Data Analyst Associate Prep

位教师：SkillUp

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3个模块

深入了解一个主题并学习基础知识。

16 条评论

中级等级

推荐体验

3 小时完成

灵活的计划

自行安排学习进度

3个模块

深入了解一个主题并学习基础知识。

16 条评论

中级等级

推荐体验

3 小时完成

灵活的计划

自行安排学习进度

您将学到什么

Describe how to prepare data for analysis by transforming, configuring, cleaning, and shaping it using Power BI.
Discuss the creation of data models in Power BI using a data model framework and Data Analysis Expressions (DAX) functions.
Explain how to design visually appealing reports using data visualization strategies in Power BI and perform data analytics using Analyze feature.
Examine how to create workspace, design interactive dashboards, and safeguard the data by configuring row-level security for datasets in Power BI.

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作业

9 项作业

授课语言：英语（English）

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该课程共有3个模块

This short course will guide you on preparing for the PL-300: Microsoft Power BI Data Analyst exam. This exam is the requirement for Microsoft Certified: Power BI Data Analyst Associate certification. The course provides you with a detailed understanding of the Power BI concepts, its features, and capabilities.

By the end of this course, you will be able to: - Describe how to prepare data for analysis by transforming, configuring, cleaning, and shaping it using Power BI. - Discuss the creation of data models in Power BI using a data model framework and Data Analysis Expressions (DAX) functions. - Explain how to design visually appealing reports using data visualization strategies in Power BI and perform data analytics using Analyze feature. - Examine how to create workspace, design interactive dashboards, and safeguard the data by configuring row-level security for datasets in Power BI. The PL-300 exam is intended for data professionals who want to collaborate closely with business stakeholders, enterprise data analysts, and data engineers to identify and acquire data, transform the data, create data models, visualize data, and share assets using Power BI. Having experience with data analysis, reporting, Power BI, proficiency in writing expressions by using Data Analysis Expressions (DAX), and understanding how to assess data quality is a must.

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.

涵盖的内容

12个视频3篇阅读材料4个作业1个讨论话题

12个视频总计58分钟

Course introduction5分钟
Introducing Power BI and its components4分钟
Getting data from different sources6分钟
Cleaning and shaping data7分钟
Loading data in Power BI2分钟
Selecting a data model framework5分钟
Working with tables and dimensions5分钟
Resolving modeling challenges5分钟
Modeling data in Power BI Desktop6分钟
Introducing Data Analysis Expressions (DAX) functions5分钟
Adding measures to Power BI models4分钟
Creating model calculations by using DAX4分钟

3篇阅读材料总计6分钟

Course overview2分钟
Resolving data import errors and improving performance while retrieving data2分钟
Optimizing model performance in Power BI2分钟

4个作业总计26分钟

Graded quiz: Data preparation and modeling in Power BI10分钟
Practice quiz: Preparing data with Power BI6分钟
Practice quiz: Designing a data model in Power BI6分钟
Practice quiz: Using advanced data modeling features4分钟

1个讨论话题总计5分钟

Meet and greet5分钟

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.

涵盖的内容

6个视频2篇阅读材料3个作业

6个视频总计31分钟

Using data visualization strategies6分钟
Creating visually appealing reports5分钟
Formatting and configuring visualizations5分钟
Techniques for enhancing Power BI reports4分钟
Using the Analyze feature4分钟
Identifying outliers and grouping data5分钟

2篇阅读材料总计4分钟

Optimizing reports for mobile devices2分钟
Using advanced analytic features of Power BI, such as Quick Insights and AI visuals2分钟

3个作业总计19分钟

Graded quiz: Data visualization and analysis in Power BI10分钟
Practice quiz: Designing data visualizations in Power BI6分钟
Practice quiz: Performing data analytics in Power BI3分钟

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.

涵盖的内容

4个视频3篇阅读材料2个作业

4个视频总计17分钟

Creating a Power BI workspace4分钟
Creating a Power BI dashboard5分钟
Managing datasets4分钟
Configuring row-level security (RLS)4分钟

3篇阅读材料总计5分钟

Sharing and publishing Power BI reports and dashboards3分钟
Congratulations and next steps1分钟
Thanks from the course team1分钟

2个作业总计16分钟

Graded quiz: Assets deployment and maintenance10分钟
Practice quiz: Creating and managing assets in Power BI6分钟

位教师

SkillUp

139 门课程459,583 名学生

提供方

SkillUp

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已于 Mar 27, 2024审阅

Very clear and effective explanation of the topics

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