What You Will Gain From This Course

• Create business intelligence reports of professional quality, starting from the basics.
• Skillfully combine and convert raw data into visually appealing interactive dashboards.
• Craft and put into practice the very tools employed by seasoned analysts and data scientists.
• Demonstrate your competence through comprehensive course projects, complete with detailed, step-by-step solutions.
• Dive into the world of robust artificial intelligence tools and advanced visualization techniques.
• Gain valuable insights from an instructor, who is also a highly skilled Power BI developer.
• Structured Query Language (SQL) : DDL and DML queries
• Microsoft SQL Server
• Bonus Module: Microsoft Excel

Description

This course has been meticulously designed to align with the key phases of the business intelligence workflow, providing hands-on experience with real-world tasks commonly encountered by data professionals. Each stage is crafted to equip you with essential skills and knowledge.

Stage 1: Data Connection and Transformation

In this phase, our focus revolves around constructing automated workflows for extracting, transforming, and loading project data using Power Query. We'll delve into various facets, such as common data connectors, storage modes, profiling tools, table manipulations, and more:

• Exploring Data Connectors
• Storage and Import Methods
• Query Editing Tools
• Table Transformations
• Establishing Database Connections
• Extracting Web Data
• Quality Assurance and Profiling Tools
• Text, Numeric, Date, and Time Operations
• Crafting Rolling Calendars
• Creating Indexes and Conditional Columns
• Performing Grouping and Aggregation
• Pivoting and Unpivoting Data
• Merging and Appending Queries
• Utilizing Data Source Parameters
• Importing Excel Models

Stage 2: Building a Relational Data Model

In stage 2, we will delve into the best practices of data modeling, introducing concepts like database normalization, fact and dimension tables, primary and foreign keys, star and snowflake schemas, active and inactive relationships, relationship cardinality, filter context, and flow, all while constructing our AdventureWorks data model from the ground up:

• Exploring Database Normalization
• Understanding Fact and Dimension Tables
• Primary and Foreign Key Relationships
• Star and Snowflake Schema Structures
• Handling Active and Inactive Relationships
• Grasping Relationship Cardinality
• Navigating Filter Context and Flow
• Model Layouts and Configuration
• Data Formats and Categories
• Creating Hierarchies

Stage 3: Implementing Calculated Fields Using DAX

In stage 3, we introduce data analysis expressions (DAX). We will generate calculated columns and measures, cover topics like row and filter context, and gain practical experience applying potent tools, including filter functions, iterators, and time intelligence patterns:

• Comparing DAX vs. M
• Creating Calculated Columns and Measures
• Implicit, Explicit, and Quick Measures
• Understanding Measure Calculation Steps
• Mastering DAX Syntax and Operators
• Leveraging Mathematical and Statistical Functions
• Employing Conditional and Logical Functions
• Exploring the SWITCH Function
• Utilizing Text Functions
• Managing Date and Time Functions
• Applying the RELATED Function
• Leveraging CALCULATE, FILTER, and ALL Functions
• Harnessing Iterator (X) Functions
• Exploring Time Intelligence Patterns

Stage 4: Data Visualization with Reports

Stage 4 revolves around the art of bringing data to life through reports and dashboards. We will examine best practices in data visualization, construct and format fundamental charts, and introduce interactivity through elements like bookmarks, slicer panels, parameters, tooltips, report navigation, and more:

• Embracing Data Visualization Best Practices
• Navigating the Dashboard Design Framework
• Crafting Cards and Key Performance Indicators (KPIs)
• Building Line Charts, Trend Lines, and Forecasts
• Mastering On-Object Formatting
• Designing Table and Matrix Visuals
• Applying Conditional Formatting Techniques
• Implementing Top N Filtering
• Incorporating Map Visualizations
• Drilling Up, Down, and Through Data
• Managing Report Slicers and Interactions
• Implementing Bookmarks and Page Navigation
• Utilizing Numeric and Field Parameters
• Customizing Tooltips
• Importing Custom Visualizations
• Managing and Viewing Roles with Role-Level Security (RLS)
• Optimizing for Mobile Layouts
• Publishing to the Power BI Service

In addition, we will introduce potent artificial intelligence tools like decomposition trees, key influencers, smart narratives, and natural language Q&A. We will also cover performance optimization techniques to ensure your reports operate seamlessly at scale