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Deploy and Maintain Power BI Assets and Capstone project

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Deploy and Maintain Power BI Assets and Capstone project

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Gain insight into a topic and learn the fundamentals.
4.4

307 reviews

Beginner level

Recommended experience

Flexible schedule
3 weeks at 10 hours a week
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
4.4

307 reviews

Beginner level

Recommended experience

Flexible schedule
3 weeks at 10 hours a week
Learn at your own pace

What you'll learn

  • How to create and publish an app in Power BI.

  • How to implement dynamic reports in Power BI.

  • How to implement security measures and alerting in a Power BI report or dashboard.

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

26 assignments

Taught in English
90%
Most learners liked this course

Build your Data Analysis expertise

This course is part of the Microsoft Power BI Data Analyst Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate from Microsoft

There are 4 modules in this course

This course forms part of the Microsoft Power BI Analyst Professional Certificate. This Professional Certificate consists of a series of courses that offers a good starting point for a career in data analysis using Microsoft Power BI.

In this course, you’ll learn how to deploy and maintain assets in Power BI. Through hands-on exercises, you’ll explore the process of creating, implementing, and managing Power BI workspaces.You’ll also implement security and monitoring to protect data in organizations. At the end of the course, you will complete a capstone project to showcase all your new Power BI and data analytical skills. After completing this course, you'll be able to: ● Describe how SQL is used in enterprise data analysis. ● Create and publish an app in Power BI. ● Audit usage in Reports and Dashboard. ● Manage and refresh datasets. ● Implement dynamic reports in Power BI. ● Implement security measures and alerting in a Power BI report or dashboard. ● Establish Row Level Security in a Power BI model. This is also a great way to prepare for the Microsoft PL-300 exam. By passing the PL-300 exam, you’ll earn the Microsoft Power BI Data Analyst certification.

In this module, you will gain a larger view of Power BI in enterprise scenarios and how deploying and maintaining assets plays an important role in data-driven businesses

What's included

12 videos8 readings3 assignments

12 videosβ€’Total 61 minutes
  • Course introductionβ€’8 minutes
  • How data flows through businessβ€’6 minutes
  • Data-driven enterpriseβ€’5 minutes
  • The important role of a data analystβ€’4 minutes
  • SQL in enterpriseβ€’4 minutes
  • Connecting to a SQL databaseβ€’6 minutes
  • What are dynamic reports?β€’4 minutes
  • Creating a dynamic reportβ€’4 minutes
  • Creating a multi-value dynamic reportβ€’4 minutes
  • What-if parametersβ€’5 minutes
  • Vignette: The world of dataβ€’5 minutes
  • Module summary: Power BI in enterpriseβ€’6 minutes
8 readingsβ€’Total 85 minutes
  • Course syllabusβ€’10 minutes
  • Setting up your Power BI environmentβ€’20 minutes
  • Setting up Power BI Serviceβ€’20 minutes
  • New name for Power BI datasetsβ€’10 minutes
  • Additional resources: Key conceptsβ€’5 minutes
  • Additional resources: Data in enterpriseβ€’5 minutes
  • SQL cheatsheetβ€’10 minutes
  • Additional resources: SQL data sourcesβ€’5 minutes
3 assignmentsβ€’Total 60 minutes
  • Module quiz: Power BI in enterpriseβ€’30 minutes
  • Knowledge check: Data in enterprise β€’15 minutes
  • Knowledge check: SQL data sources β€’15 minutes

In this module, you will deploy Power BI assets and explore deployment pipelines and their importance in data integrity

What's included

17 videos17 readings7 assignments

17 videosβ€’Total 78 minutes
  • What is a workspace?β€’6 minutes
  • Creating a workspaceβ€’3 minutes
  • Assign workspace rolesβ€’5 minutes
  • Creating workspace appsβ€’5 minutes
  • Monitoring workspace usageβ€’5 minutes
  • Creating a usage reportβ€’5 minutes
  • Datasets in Power BI Serviceβ€’5 minutes
  • Power BI gatewaysβ€’6 minutes
  • Configure a dataset refreshβ€’4 minutes
  • Endorsing datasetsβ€’4 minutes
  • Electric car manufacturingβ€’3 minutes
  • Development lifecyclesβ€’4 minutes
  • Deployment pipelineβ€’3 minutes
  • Impact analysis and lineageβ€’5 minutes
  • Improving performance with cachingβ€’4 minutes
  • Troubleshoot service connectivityβ€’5 minutes
  • Module summary: Deploying assetsβ€’6 minutes
17 readingsβ€’Total 190 minutes
  • Workspace settingsβ€’10 minutes
  • Roles cheatsheetβ€’10 minutes
  • Exercise: Creating a shared workspaceβ€’30 minutes
  • Exemplar: Creating a shared workspaceβ€’10 minutes
  • Managing audiences in workspace appsβ€’10 minutes
  • Additional resources: Deploying assetsβ€’5 minutes
  • Metric report cheatsheetβ€’10 minutes
  • Usage metrics report credentialsβ€’10 minutes
  • Additional resources: Monitoring workspacesβ€’5 minutes
  • Installing a personal gatewayβ€’10 minutes
  • Promote versus certifyβ€’10 minutes
  • Exercise: Configuring a datasetβ€’30 minutes
  • Exemplar: Configuring a datasetβ€’10 minutes
  • Additional resources: Datasets and gatewaysβ€’5 minutes
  • Deployment pipelines best practicesβ€’10 minutes
  • Troubleshooting refresh scenariosβ€’10 minutes
  • Additional resources: Maintaining workspaces and datasetsβ€’5 minutes
7 assignmentsβ€’Total 130 minutes
  • Module quiz: Deploying assetsβ€’50 minutes
  • Self-review: Creating a shared workspace β€’10 minutes
  • Knowledge check: Deploying assets β€’15 minutes
  • Knowledge check: Monitoring workspaces β€’15 minutes
  • Self-review: Configuring a dataset β€’10 minutes
  • Knowledge check: Datasets and gateways β€’15 minutes
  • Knowledge check: Maintaining workspaces and datasets β€’15 minutes

In this module, you will audit, secure and monitor Power BI assets

What's included

14 videos10 readings7 assignments2 discussion prompts

14 videosβ€’Total 66 minutes
  • Safely sharing informationβ€’5 minutes
  • Sharing via linksβ€’6 minutes
  • Data sensitivity labelsβ€’5 minutes
  • Leaking of sensitive dataβ€’4 minutes
  • Dataset permissionsβ€’5 minutes
  • Configuring dataset permissionsβ€’4 minutes
  • Sharing outside your organizationβ€’4 minutes
  • What is row-level security?β€’5 minutes
  • Configuring static row-level securityβ€’4 minutes
  • Dynamic row-level security with DAXβ€’4 minutes
  • Subscribing to reports and dashboardsβ€’4 minutes
  • Configuring data alertsβ€’6 minutes
  • How data alerts prevented trading lossesβ€’4 minutes
  • Module summary: Security and monitoringβ€’6 minutes
10 readingsβ€’Total 125 minutes
  • Exercise: Applying sensitivity labelsβ€’30 minutes
  • Exemplar: Applying sensitivity labelsβ€’10 minutes
  • Additional resources: Sharing information in Power BIβ€’5 minutes
  • Permissions cheatsheetβ€’10 minutes
  • Additional resources: Organizations and permissionsβ€’10 minutes
  • Static versus dynamic row-level securityβ€’10 minutes
  • Additional resources: Row-level securityβ€’5 minutes
  • Exercise: Configuring a data alertβ€’30 minutes
  • Exemplar: Configuring a data alertβ€’10 minutes
  • Additional resources: Subscriptions and alertsβ€’5 minutes
7 assignmentsβ€’Total 110 minutes
  • Module quiz: Security and monitoringβ€’30 minutes
  • Self-review: Applying sensitivity labels β€’10 minutes
  • Knowledge check: Sharing information in Power BI β€’15 minutes
  • Knowledge check: Organizations and permissions β€’15 minutes
  • Knowledge check: Row-level security β€’15 minutes
  • Self-review: Configuring a data alert β€’10 minutes
  • Knowledge check: Subscriptions and alerts β€’15 minutes
2 discussion promptsβ€’Total 20 minutes
  • How would dataset permissions impact different business departments?β€’10 minutes
  • How would security impact different stakeholders?β€’10 minutes

In this module, you will be assessed on the key skills covered throughout the courses. The module contains the capstone project which encapsulates the learning into a practical whole.

What's included

4 videos14 readings9 assignments1 discussion prompt

4 videosβ€’Total 15 minutes
  • Course recap and Capstone introductionβ€’6 minutes
  • Capstone check-inβ€’3 minutes
  • Capstone project reviewβ€’3 minutes
  • Congratulationsβ€’3 minutes
14 readingsβ€’Total 355 minutes
  • About the final project and assessmentβ€’10 minutes
  • Exercise: Prepare Sales Excel dataβ€’30 minutes
  • Exercise: Configure data sourcesβ€’30 minutes
  • Exercise: Design and develop the data modelβ€’30 minutes
  • Capstone project progress checklistβ€’10 minutes
  • Exercise: Configure aggregations using DAXβ€’30 minutes
  • Exercise: Create a Sales reportβ€’30 minutes
  • Exercise: Create a Profit reportβ€’30 minutes
  • Exercise: Create an executive dashboardβ€’30 minutes
  • Exercise: Configure alerts and subscriptionsβ€’30 minutes
  • Exemplar: Capstone project - Part 1β€’30 minutes
  • Exemplar: Capstone project - Part 2β€’30 minutes
  • Exemplar: Capstone project - Part 3β€’30 minutes
  • Next stepsβ€’5 minutes
9 assignmentsβ€’Total 180 minutes
  • Self-review: Prepare Sales Excel dataβ€’10 minutes
  • Self-review: Configure data sourcesβ€’10 minutes
  • Self-review: Design and develop the data modelβ€’10 minutes
  • Self-review: Configure aggregations using DAXβ€’10 minutes
  • Self-review: Create a Sales reportβ€’15 minutes
  • Self-review: Create a Profit reportβ€’10 minutes
  • Self-review: Create an executive dashboardβ€’10 minutes
  • Self-review: Configure alerts and subscriptionsβ€’15 minutes
  • Course quiz: Deploy and maintain Power BI assetsβ€’90 minutes
1 discussion promptβ€’Total 10 minutes
  • Reflect on learningβ€’10 minutes

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Frequently asked questions

This program is for you:

● If you want to switch or start a career in the field of data analytics.

● If you are interested in the field of data analytics, just beginning to work with business intelligence and data analysis solutions and services, or new to Microsoft Power BI.

You don’t need any background knowledge to take this Professional Certificate. Whether you’re just starting out or a professional in a relevant field, this program can be the right fit for you.

How long does it take to complete the Professional Certificate?

Whether you’re looking to start a new career or change your current one, Professional Certificates help you become job ready. Apply your new skills on hands-on projects that showcase your expertise to potential employers and earn a career credential to kickstart your new career.

Once you have completed this Professional Certificate, you’ll have built a foundational knowledge of the key concepts and tools in Power BI and how they apply to a business environment including:

β€’ The ability to implement best practices when conducting Data Analysis.

β€’ The skills to use the visualization and report capabilities of Power BI to create compelling reports and dashboards.

β€’ The ability to provide valuable data insights that help to inform business decisions.

Power BI Data Analysts design, develop, and deploy business analytics dashboards using Microsoft Power BI. Data analysts are essential in helping organizations gain valuable insights into the expanse of data that they have, and they work closely with others in the organization to help reveal valuable information.

Data analysts and business intelligence analysts both help drive data-driven decision-making in their organizations. Data analysts tend to work more closely with the data itself, while business intelligence analysts tend to be more involved in using the results of data analysis to address business needs and recommend solutions. The Power BI data analyst is a combination of both of these roles. They work closely with business stakeholders to identify business requirements and collaborate with enterprise data analysts and data engineers to identify and acquire data. They also transform the data, create data models, visualize data, and share assets by using Power BI. These are all highly sort after roles.

Prepare for a career as a data analyst using Power BI. The Power BI skills you learn in this program prepare you for an entry-level role as a data analyst. An entry-level role as a data analyst is a great starting point and can be the first step towards building a career as a business intelligence analyst, data scientist or data engineer.

This course is completely online. You can access your lessons, readings, and assignments anytime and anywhere via the web or your mobile device.

We highly recommend taking the courses of each certificate program in the order they are presented. The content in the courses builds on information from earlier courses. The final course contains a practice exam that assesses your knowledge of the content covered in the previous courses. As such, it makes the most sense to take the courses in the order they are presented.

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.

When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Financial aid available,