Power Bi Learning Path: From Beginner To Advanced Projects

Unlock the full potential of Power BI to transform raw data into visual reports and insightful business dashboards.

What you'll learn

Master the Power BI interface and core functionalities.

Create dynamic and interactive data visualizations and reports.

Import, transform, and format data from various sources.

Utilize AI-powered visuals like decomposition trees, smart narratives, and key influencers.

Implement advanced DAX calculations for in-depth data analysis.

Design mobile-responsive dashboards for on-the-go insights.

Conduct project-based data analysis, including sales performance and marketplace analysis.

Publish and share Power BI reports with stakeholders.

Requirements

Basic understanding of Microsoft Excel or any other data analysis tool. No prior experience with Power BI is required, but familiarity with data concepts will be helpful.

Description

Introduction:Power BI is a powerful business analytics tool that empowers users to visualize data, share insights, and make data-driven decisions. This comprehensive course is designed to take you on a journey from understanding the basics of Power BI to mastering advanced data visualizations and project implementations. Whether you're a beginner just starting out or a seasoned professional looking to deepen your skills, this course covers everything you need to know to become proficient in using Power BI for data analysis, reporting, and dashboard creation.Section 1: Fundamentals of Power BIThis section introduces you to the world of Power BI, focusing on its core features and functionalities. You’ll start with an overview of the Power BI interface, followed by essential techniques like data formatting, creating visualizations, and generating reports. You'll also learn how to import and export files efficiently, explore global energy data, and perform data comparisons. Additionally, you will dive into Power BI’s AI visual tools, such as the decomposition tree, Q&A visuals, smart narratives, and key influencers, to enhance your reports. The section concludes with practical lessons on managing relationships, calculations, and implementing security features.Section 2: Hands-on Power BI ProjectsBuilding on the foundational skills, this section takes a project-based approach to deepen your understanding of Power BI. You’ll work with real-world datasets, starting with the Human Development Index, exploring segmentation analysis, and creating various visualizations, including bar charts and map visualizations. You will also learn to apply advanced modeling features, create mobile-responsive reports, and conduct a continent-specific analysis. This hands-on experience will solidify your ability to build insightful visual reports from scratch.Section 3: Manager Performance Report ProjectIn this section, you will create a comprehensive Manager Performance Report using Power BI. You'll learn how to set up a data source, import data, and use the ChicletSlicer for dynamic filtering. Advanced techniques such as creating KPI cards, dynamic titles, and line charts are covered in detail. You will also explore nested filters and their formatting options to make your reports more interactive and informative. This project will help you understand how to present performance metrics effectively.Section 4: Marketplace Analysis using Power BIThis section is dedicated to analyzing and visualizing marketplace data. You'll explore product, store, and regional data, as well as transaction details. You will work with lookup and data tables, build data models, and apply DAX (Data Analysis Expressions) to create calculated columns and measures. The project emphasizes the practical use of DAX for dynamic data analysis, enabling you to generate insightful reports for business decision-making.Section 5: Sales Performance Analysis Case StudyThe final section is a deep dive into a sales performance case study using Power BI. You will learn advanced data cleaning and transformation techniques using Power Query, create date tables, and build sophisticated DAX measures. Topics such as fiscal reporting, calculating gross profit (GP) by product, and generating average daily GP will be covered. The section also includes advanced slicer techniques, hiding items from report views, and publishing your reports for broader audience access.Conclusion:By the end of this course, you will have a solid grasp of Power BI’s capabilities and be able to create detailed, visually appealing reports and dashboards. You will be equipped with the skills to handle real-world data analysis projects, from data cleaning to advanced visualization and report publishing. Whether for personal growth or professional development, this course will elevate your data analytics proficiency to the next level.

Overview

Section 1: Fundamentals of Power BI

Lecture 1 Overview Power BI Training

Lecture 2 Introduction to Course

Lecture 3 Data Formatting

Lecture 4 Visulizations

Lecture 5 Reports

Lecture 6 Importing and Exporting File

Lecture 7 Global Energy Data

Lecture 8 Comparison

Lecture 9 Working with Report Views

Lecture 10 Duplicate Pages Adding Visuals

Lecture 11 Insert AI Visuals Decomposition Tree Elements Text Box

Lecture 12 AI Visuals QnA smart Narrative Key Influencers

Lecture 13 Elements Text Box Buttons Shapes and Images

Lecture 14 Course Contents Relationships Calculations

Lecture 15 Calculations What-if Security Features

Lecture 16 Security Features Help the Menu

Section 2: Power BI Project #1 - Hands-on Power BI Projects

Lecture 17 Various Menus in Power BI

Lecture 18 Importing Human Development Index

Lecture 19 Analyze Visualizations

Lecture 20 Segmentation Analysis

Lecture 21 Understanding Dataset Attributes

Lecture 22 Plots and Filters

Lecture 23 Applying Visualization such as Bar Chart

Lecture 24 Smart Narrative Created

Lecture 25 Reviewing and Importing Dataset

Lecture 26 Application of Modelling Features

Lecture 27 Created Key Influencers for Top Segment

Lecture 28 Continent Specific Analysis

Lecture 29 Data Set Review

Lecture 30 Implementing Map Visualization

Lecture 31 House Rent Analysing the Visualization Report

Lecture 32 Creating Visualization Reports for Mobile Layout

Lecture 33 Superstore Set Review

Lecture 34 Build Visuals With Your Data

Lecture 35 Category and Branding Analysis

Lecture 36 Mobile Layout

Section 3: Power BI Project #2 - Manager Performance Report Project

Lecture 37 Introduction of Project

Lecture 38 Data Source Explanation

Lecture 39 Import Data

Lecture 40 ChicletSlicer

Lecture 41 Images in ChicletSlicer

Lecture 42 Chiclet Slicer Formatting

Lecture 43 Dynamic Title

Lecture 44 KPI Card

Lecture 45 KPI Card Continue

Lecture 46 Line Chart

Lecture 47 Nested Filters

Lecture 48 Nested Filters Continue

Lecture 49 Formatting

Lecture 50 Formatting Continued

Lecture 51 Conclusion

Section 4: Power BI Project #3 - Marketplace Analysis using Power BI

Lecture 52 Introduction to Project

Lecture 53 Study Product Data

Lecture 54 Store and Region Data

Lecture 55 Study Return and Transaction Data

Lecture 56 Lookup Tables and Data Tables

Lecture 57 Modelling

Lecture 58 Product Lookup

Lecture 59 DAX Calculated Columns

Lecture 60 DAX Measure

Section 5: Power BI Project #4 - Sales Performance Analysis Case Study

Lecture 61 Introduction to Sale Analysis Case Study

Lecture 62 Download Power BI

Lecture 63 Overview of Power BI

Lecture 64 Import

Lecture 65 Clean Transform Data using Power Query

Lecture 66 Date Table

Lecture 67 Date Table Continue

Lecture 68 DAX Measures Part 1

Lecture 69 DAX Measures Part 2

Lecture 70 DAX Measures Part 3

Lecture 71 DAX Measures Part 4

Lecture 72 Hide Item from Report View

Lecture 73 GP by Product

Lecture 74 Average Daily GP

Lecture 75 Fiscal Report

Lecture 76 Average Last 12 Months

Lecture 77 Advance Slicer

Lecture 78 Publish Report

Aspiring data analysts, business analysts, and data scientists looking to expand their skills.,Professionals who want to leverage Power BI for data-driven decision-making.,Managers and team leaders who wish to visualize and interpret performance metrics.,Students and beginners interested in building a career in data analytics.,Anyone looking to transform raw data into actionable insights through interactive reports and dashboards.