This foundational course aims to equip you with an understanding of Power BI, exploring its core features and components of its user-friendly interface, and the capabilities it offers.
By the end of the course, you will be able to:
- Explain how to prepare data for analysis by importing and resolving errors using Power BI.
- Examine the process of creating data models using Power BI Desktop models.
- Discover effective data visualizations and compelling reports to communicate your insights.
- Describe the steps to publish reports, design interactive dashboards, and safeguard the data by using the security features in Power BI.
You'll dive into the details of Power BI Desktop models, mastering model fundamentals and frameworks and using that knowledge to build your own data models.
This specialized short course is tailored for individuals interested in pursuing a career as a data analyst and leveraging Power BI. No prior data analytics experience or degree is required to take this course. However, having some working knowledge of data analysis, including preparing, modeling, and visualizing data and deriving actionable insights, and applying domain expertise will be helpful.
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 learn about how Power Query is leveraged for data extraction from diverse sources and make critical decisions about storage modes and connectivity types. Additionally, you'll master profiling and cleansing of data and loading it into Power BI before diving into data modeling.
Additionally, you will gain insight into Power BI data models and the selection of data loading approaches. You will also learn how to simplify the process of creating data models, emphasizing techniques such as star schema design. In the section on DAX functions, you will learn to perform advanced calculations in tabular data models. Finally, you’ll learn to recognize the significance of data granularity for performance and usability.
Data import errors and performance issues•6 minutes
Clean and transform data in Power BI•6 minutes
Overview of data model frameworks•4 minutes
Determine a Power BI model framework•3 minutes
Create a data model in Power BI•6 minutes
Use basic data analysis expressions (DAX) functions•6 minutes
3 readings•Total 10 minutes
Course overview•3 minutes
How data analysis with Power BI helps in your role•3 minutes
Optimize data models for performance in Power BI•4 minutes
3 assignments•Total 25 minutes
Practice quiz: Importing data in Power BI and preparing for analysis•9 minutes
Practice quiz: Designing data models in Power BI•6 minutes
Graded quiz: Prepare the data for analysis with Microsoft Power BI•10 minutes
1 discussion prompt•Total 5 minutes
Meet and greet•5 minutes
Data visualization in Power BI and workspace management
Module 2•1 hour to complete
Module details
In this module, you'll explore various visualization types that enable you to implement effective data visualization. Learn the art of designing reports for compelling storytelling and discover techniques to refine your reports.
Additionally, you'll dive into data analytics within Power BI, which helps you perform tasks such as identifying outliers, grouping data, and applying time series analysis.
Finally, you'll also become proficient in navigating the Power BI service workspace, creating dynamic dashboards, and adding essential security measures to ensure your data is safe.
What's included
9 videos5 readings3 assignments
Show info about module content
9 videos•Total 48 minutes
Visualization types in Power BI•6 minutes
Implement effective data visualization•5 minutes
Data storytelling in reports•5 minutes
Design reports for filtering•6 minutes
Techniques to refine reports•5 minutes
Data analytics in Power BI•6 minutes
Navigate the Power BI service workspace•4 minutes
Create a dashboard using Power BI•5 minutes
Add security to Power BI Dashboard•6 minutes
5 readings•Total 15 minutes
Create reports for mobile use•4 minutes
Create paginated reports•4 minutes
Share and publish reports and dashboards•4 minutes
Congratulations and next steps•2 minutes
Thanks from the course team•1 minute
3 assignments•Total 23 minutes
Practice quiz: Design data visualizations in Power BI•9 minutes
Practice quiz: Deploy and maintain assets in Power BI•4 minutes
Graded quiz: Data visualization in Power BI and workspace management•10 minutes
Instructors
Instructor ratings
Instructor ratings
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
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Learner reviews
4.6
59 reviews
5 stars
81.81%
4 stars
7.57%
3 stars
6.06%
2 stars
3.03%
1 star
1.51%
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PP
5·
Reviewed on Mar 27, 2024
The course covers a lot in a very interesting way and helps a lot to understand the areas better.
G
GC
5·
Reviewed on Mar 26, 2024
Videos of the step-by-step creation of a dashboard or data creation are very useful.
P
PT
5·
Reviewed on Mar 26, 2024
This course has offered tutorials and practical demonstrations, enabling learners to master Power BI tools efficiently & apply them effectively in data analysis.
When will I have access to the lectures and assignments?
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I purchase the Certificate?
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.