Beginner to Advanced Power BI Training In Nepal

Introduction to the foundational elements of Power BI.

• Get Power BI Desktop: Installation and setup of Power BI Desktop.
• Getting started with Power BI Desktop: Explore Power BI Desktop interface and core components.

Detail focuses on data ingestion, covering “Extract” and “Load” phases of the ETL (Extract, Transform, Load) process.

• Data Sources in Power BI Desktop Ex: Excel, CSV, Text, JSON: Demonstrates connecting to various flat file data sources.
• Import Database from Power BI: Importing data from diverse database systems.
• Connect to web data: Explains techniques for extracting data directly from web pages.

Introduction to fundamentals of data shaping and initial combination techniques within Power BI’s data model.

• Query overview: Overview of managing data queries and their steps.
• Shape and combine data: Initial data cleaning, reformatting, and basic consolidation operations.
• Data categorization: Explains assigning semantic categories to data columns for enhanced functionality.

This module delves into advanced data transformation, utilizing Power Query for the “Transform” phase of ETL.

• Merge: Combining tables based on common column values, acting as a “join.”
• Joins (Types of Joins): Explores different types of joins (e.g., Inner, Left, Right) for data integration.
• Append: Details stacking rows from multiple tables into a single table.
• Pivot: Converting rows into columns for data reshaping.
• Unpivot: Converting columns into rows to normalize data structures.

Focus on building a robust semantic model by establishing connections between data tables.

• Create and manage relationships in Power BI: Process of defining and overseeing table relationships.
• Desktop One to Many, Many to One, One to One, Many to Many: Different cardinality types of relationships and their application.
• Things to take care during relationship: Highlights best practices and considerations for effective relationship management and data integrity.

Introduction to DAX (Data Analysis Expressions) for creating custom calculations and business logic.

• Data Type in Power BI Desktop: Importance of data types in calculations and model performance.
• Tutorial: Create your own measures: Provides instruction on writing DAX expressions to define dynamic measures.
• Calculated columns: Creating new columns with values derived from DAX formulas, evaluated row-by-row.
• DAX Basics: Fundamental DAX functions and concepts.
• Measures in Power BI Desktop: understanding measures, including calculation contexts and their impact on analytical insights.

It  covers the design and creation of impactful data visualizations.

• Visualization with Power BI (20 different visuals): Explores a wide range of Power BI visuals and their effective use in building interactive reports and dashboards.

Focused on publishing and collaborating on Power BI content using the cloud-based Power BI Service.

• Publish from Power BI: Process of publishing Power BI Desktop files to the Power BI Service.
• Desktop Dashboards in Power BI: Creating consolidated dashboards by pinning visuals from various reports.
• Share a dashboard from Power BI: Methods for securely sharing dashboards and reports for collaboration and consumption.