Microsoft Power BI Data Analyst (Live Online)

Aperçu

Join the Microsoft Power BI Data Analyst course to enhance your skills in data analysis with Power BI. Delivered live online, this course meticulously covers various methods and best practices tailored to both business and technical requirements.

Learn how to model, visualize, and analyze data efficiently using Power BI.

Gain proficiency in accessing and processing data from a variety of data sources, both relational and non-relational. The course provides valuable insights into implementing robust security standards across datasets and groups within Power BI.

Discover effective strategies to manage and deploy reports and dashboards, enhancing content distribution.

Additionally, the course includes training on creating paginated reports within the Power BI service for extended reporting capabilities.

Designed for data professionals and business intelligence experts, this course equips you with advanced skills to accurately perform data analysis using Power BI, including for cloud and on-premises data platform technologies.

Job Role:

Data Analyst

Exam Preparation:

PL-300

• Ingest, clean, and transform data
• Model data for performance and scalability
• Design and create reports for data analysis
• Apply advanced report analytics
• Manage and share report assets
• Create paginated reports in Power BI

Prerequisites:

Prospective data analysts should possess cloud-based data experience, including:

• Understanding core data concepts
• Working knowledge of relational and non-relational data in the cloud
• Familiarity with data analysis and visualization concepts

Enhance your cloud data skills by completing the Microsoft Azure Data Fundamentals course.

Course Modules:

1. Get Started with Microsoft Data Analytics:

   Explore roles in data analytics and the Power BI portfolio.

2. Prepare Data in Power BI:

   Learn data source connectivity and storage options.

3. Clean, Transform, and Load Data in Power BI:

   Master data profiling, cleaning, and transforming.

4. Design a Data Model in Power BI:

   Develop data models ensuring performance and scalability.

5. Create Model Calculations using DAX in Power BI:

   Harness DAX for model enhancement and solving analysis problems.

6. Optimize Model Performance in Power BI:

   Optimize data models for enterprise-level performance.

7. Create Reports in Power BI:

   Essentials of designing and building impactful reports.

8. Create Dashboards in Power BI:

   Craft compelling stories with dashboards and navigation tools.

9. Enhance Reports for Usability and Storytelling in Power BI:

   Build and publish paginated reports.

10. Perform Advanced Analytics in Power BI:

    Apply features for analytical insights using AI visuals.

11. Manage Datasets in Power BI:

    Grasp concepts of managing datasets and assets in Power BI.

12. Create and Manage Workspaces in Power BI:

    Learn to manage workspaces and distribute content.

University:

Provider:

CourseHorse

Categories:

Data Analysis Courses, Business Intelligence Courses, Data Visualization Courses, DAX (Data Analysis Expressions) Courses, Data Transformation Courses, Data Modeling Courses, Power Query Courses, ETL Courses

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