• views: 42
• date: 10 January 2025
• posted by: AD-TEAM

Comprehensive guide on how to import, transform, visualize data with Power BI, with practical exercises and case studies

What you'll learn

Importing datasets from various sources (Excel, databases, etc.)

Data Visualization and Dashboard Creation

Designing interactive and responsive dashboards

Using different visual elements: charts, tables, slicers, and cards

Requirements

Basic understanding of using a computer (no prior Power BI experience required).

Willingness to learn and explore data analytics

Access to a computer with Power BI Desktop installed (free download from Microsoft).

Description

This Power BI course is a hands-on, project-based learning experience tailored for learners at all levels, from beginners to advanced users. The course focuses on building a complete dashboard report for an e-learning company, guiding you through the entire process of data extraction, transformation, and loading (ETL) within Power BI.Throughout this course, you will learn how to:Clean and prepare dаta: Learn how to clean raw datasets and merge them effectively, ensuring data quality and consistency.Data Modeling: Build relationships between different datasets and create meaningful data models to drive accurate analysis.Dashboard Design: Use Power BI's intuitive tools to create stunning, interactive dashboards that present key insights clearly.Pagination in Dashboards: Add professional touches by implementing pagination features in reports to enhance navigation and readability.By the end of this course, you will have built a comprehensive Power BI dashboard from scratch, enabling you to apply these skills in real-world e-learning or business analytics scenarios.Material IncludesSample datasets for practice (related to the e-learning company project)Step-by-step video tutorialsPower BI Dashboard templatesAccess to the course discussion forum for peer supportCertificate of completionWhat Will You Learn?Overview of Power BI and its componentsData Extraction, Transformation, and Loading (ETL)Importing datasets from various sources (Excel, databases, etc.)Cleaning and transforming raw data for analysisMerging multiple datasets for comprehensive insightsCreating relationships between datasetsUnderstanding the use of primary keys and foreign keysBuilding calculated columns and measures using DAXData Visualization and Dashboard CreationDesigning interactive and responsive dashboardsUsing different visual elements: charts, tables, slicers, and cardsCustomizing visualizations to match specific audience needsAdvanced Power BI FeaturesAdding pagination to Power BI reportsBest Practices

Overview

Section 1: Introduction

Lecture 1 Downloadable Materials

Section 2: Data Extraction and Transformation

Lecture 2 Importing Datasets

Lecture 3 Data Type Conversion in Power Query

Lecture 4 Column Profiling and Column Quality

Lecture 5 Adding Conditional Columns

Lecture 6 Table Merging with Primary and Foreign Keys

Section 3: Data Modelling, Cardinality and Relationships

Lecture 7 Data Modelling in Power BI Frontend

Section 4: Dashboard and Report Design

Lecture 8 Power BI Report Design – Part 1

Lecture 9 Power BI Dashboard Report Design – Part 2

Lecture 10 Power BI Dashboard Report Introduction

Lecture 11 Power BI Dashboard Report Design – Part 3

Lecture 12 Adding Pagination to Dashboard Report

Intermediate Power BI Users,Data Analysts and Business Intelligence Professionals,Business Owners and Decision Makers,Students and Graduates




   
   
   

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