Power BI Data Analyst Associate Prep

Instructors: SkillUp

Access provided by PALC Dev

2,300 already enrolled

3 modules

Gain insight into a topic and learn the fundamentals.

16 reviews

Intermediate level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

16 reviews

Intermediate level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

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.

Skills you'll gain

Tools you'll learn

Details to know

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Assessments

9 assignments

Taught in English

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There are 3 modules in this course

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.

What's included

12 videos3 readings4 assignments1 discussion prompt

12 videos Total 58 minutes

Course introduction 5 minutes
Introducing Power BI and its components 4 minutes
Getting data from different sources 6 minutes
Cleaning and shaping data 7 minutes
Loading data in Power BI 2 minutes
Selecting a data model framework 5 minutes
Working with tables and dimensions 5 minutes
Resolving modeling challenges 5 minutes
Modeling data in Power BI Desktop 6 minutes
Introducing Data Analysis Expressions (DAX) functions 5 minutes
Adding measures to Power BI models 4 minutes
Creating model calculations by using DAX 4 minutes

3 readings Total 6 minutes

Course overview 2 minutes
Resolving data import errors and improving performance while retrieving data 2 minutes
Optimizing model performance in Power BI 2 minutes

4 assignments Total 26 minutes

Graded quiz: Data preparation and modeling in Power BI 10 minutes
Practice quiz: Preparing data with Power BI 6 minutes
Practice quiz: Designing a data model in Power BI 6 minutes
Practice quiz: Using advanced data modeling features 4 minutes

1 discussion prompt Total 5 minutes

Meet and greet 5 minutes

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.

What's included

6 videos2 readings3 assignments

6 videos Total 31 minutes

Using data visualization strategies 6 minutes
Creating visually appealing reports 5 minutes
Formatting and configuring visualizations 5 minutes
Techniques for enhancing Power BI reports 4 minutes
Using the Analyze feature 4 minutes
Identifying outliers and grouping data 5 minutes

2 readings Total 4 minutes

Optimizing reports for mobile devices 2 minutes
Using advanced analytic features of Power BI, such as Quick Insights and AI visuals 2 minutes

3 assignments Total 19 minutes

Graded quiz: Data visualization and analysis in Power BI 10 minutes
Practice quiz: Designing data visualizations in Power BI 6 minutes
Practice quiz: Performing data analytics in Power BI 3 minutes

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.