Power Bi Data Analyst

The Power BI Data Analyst (PL-300) course equips students with the skills to collect, clean, and transform data using Power BI. It focuses on building powerful data models, designing visualizations, and delivering actionable business insights.

This course helps participants to develop comprehensive analytical skills using the Power BI platform and prepares them for the Microsoft Certified: Data Analyst Associate certification exam (PL-300). 

Target Audience:

• - Data analysts, business intelligence professionals, and developers.
• - IT professionals transitioning into data analysis and reporting.
• - Business professionals responsible for generating reports and data insights.
• - Individuals looking to gain expertise in Microsoft Power BI and data visualization.

Prerequisites:

• - Basic knowledge of data concepts, such as working with tables, relationships, and basic statistics.
• - Familiarity with Excel and SQL is helpful but not required.
• - A basic understanding of cloud computing concepts is a plus.

 Top 10 Job Profiles After Course Completion:

• 1. Power BI Data Analyst
• 2. Business Intelligence Analyst
• 3. Data Analyst
• 4. Data Visualization Specialist
• 5. Reporting Analyst
• 6. Data Engineer
• 7. Business Intelligence Developer
• 8. Business Analyst
• 9. Power BI Developer
• 10. Analytics Consultant

Syllabus Summary:

•  Module 1: Introduction to Power BI
• - Power BI Overview:  
•   Understand the purpose of Power BI, its architecture, and its components. Learn the differences between Power BI Desktop, Power BI Service, and Power BI Mobile.
• - Power BI Interface:  
•   Explore the interface of Power BI Desktop, and learn how to navigate through various options to connect, transform, and visualize data.
•  Module 2: Data Preparation
• - Connecting to Data Sources:  
•   Learn how to connect Power BI to a variety of data sources, such as Excel, SQL databases, Azure services, and cloud-based platforms.
• - Data Transformation Using Power Query:  
•   Clean and transform data using Power Query by applying filtering, grouping, and shaping operations. Implement data profiling to identify data quality issues.
• - Managing Data Relationships:  
•   Understand the importance of relationships in data models and how to manage them effectively. Learn to set up one-to-one, one-to-many, and many-to-many relationships between tables.
•  Module 3: Data Modeling
• - Creating a Data Model:  
•   Build a logical data model by organizing tables and relationships. Optimize the model for performance and usability.
• - Creating Measures and Calculated Columns:  
•   Use Data Analysis Expressions (DAX) to create calculated columns, measures, and custom aggregations. Learn to write basic and complex DAX expressions.
• - Optimizing Data Models:  
•   Implement best practices for model performance, such as data normalization, removing unused columns, and optimizing DAX queries.
•  Module 4: Data Visualization
• - Creating Reports:  
•   Design interactive reports with charts, graphs, and tables using Power BI’s rich set of visualizations. Apply themes and formatting to enhance report readability.
• - Visual Customization:  
•   Customize visual elements like colors, labels, tooltips, and interactions. Create hierarchical drill-downs and use slicers to filter data.
• - Advanced Visualizations:  
•   Implement advanced visualizations such as waterfall charts, key influencers, and gauge charts to convey complex insights.
•  Module 5: Data Analysis
• - Creating Dashboards:  
•   Build dashboards by pinning visuals from different reports, adding KPIs, and customizing tiles for real-time data insights.
• - Using DAX for Data Analysis:  
•   Perform advanced data analysis with DAX functions like SUM, AVERAGE, IF, and CALCULATE. Learn to work with time intelligence functions for year-over-year, quarter-over-quarter, and period-to-date calculations.
• - Q&A and Natural Language Queries:  
•   Use the Q&A feature to perform natural language queries and generate visuals quickly by asking questions in plain language.
•  Module 6: Working with Power BI Service
• - Publishing and Sharing Reports:  
•   Publish reports to the Power BI Service, and share them with stakeholders and team members. Understand the importance of role-based access control (RBAC) for data security.
• - Creating and Managing Workspaces:  
•   Collaborate with your team by creating workspaces, managing datasets, and sharing reports and dashboards in Power BI Service.
• - Scheduling Data Refresh:  
•   Set up data refresh schedules to keep reports and dashboards up to date with the latest data. Understand data gateway configuration for on-premises data sources.