Overview
As a candidate for this certification, you should deliver actionable insights by working with available data and applying domain expertise. You should:
- Provide meaningful business value through easy-to-comprehend data visualizations.
- Enable others to perform self-service analytics.
As a Power BI data analyst, you work closely with business stakeholders to identify business requirements. You collaborate with analytics engineers and data engineers to identify and acquire data. You use Power BI to:
- Prepare the data
- Model the data
- Visualize and analyze data
- Manage and secure Power BI
You should be proficient at using Power Query and Data Analysis Expressions (DAX).
Course Features
- Lectures 23
- Quiz 0
- Duration 5 days
- Skill level Intermediate
- Language English/French
- Students 1000
- Certificate No
- Assessments Self
Curriculum
- 5 Sections
- 23 Lessons
- 5 Days
Expand all sectionsCollapse all sections
- Get started with Microsoft data analyticsBusinesses need data analysis more than ever. In this learning path, you will learn about the life and journey of a data analyst, the skills, tasks, and processes they go through in order to tell a story with data so trusted business decisions can be made. You will learn how the suite of Power BI tools and services are used by a data analyst to tell a compelling story through reports and dashboards, and the need for true BI in the enterprise. This learning path can help you prepare for the Microsoft Certified: Data Analyst Associate certification. Prerequisites None3
- Prepare data for analysis with Power BI3
- Model data with Power BI7
- 3.1Design a semantic model in Power BI83 Minutes
- 3.2Write DAX formulas for Power BI Desktop models27 Minutes
- 3.3Add measures to Power BI Desktop models58 Minutes
- 3.4Add calculated tables and columns to Power BI Desktop models19 Minutes
- 3.5Modify DAX filter context in Power BI Desktop models37 Minutes
- 3.6Use DAX time intelligence functions in Power BI Desktop models64 Minutes
- 3.7Optimize a model for performance in Power BI69 Minutes
- Build Power BI visuals and reports6
- Manage workspaces and semantic models in Power BI4
Requirements
- Basic knowledge of data analysis concepts and Excel
- Previous experience with data analysis tools is recommended but not required
Features
- Comprehensive Curriculum
- Hands-On Labs & Real-World Scenarios
- Industry-Recognized Certifications
- Security Tools & Technologies
- Cloud & Hybrid Security Focus
- Compliance & Risk Management
- Career Advancement & Job Readiness
Target audiences
- Data analysts
- BI project managers
- Anyone involved in data analysis
- Report development
- Professionals seeking to earn the Microsoft Certified: Data Analyst Associate certification
- Excel or other data analysis tool users who wish to enhance their expertise using Power BI
