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    Learn Powerbi From Scratch - With Portfolio Projects

    Posted By: ELK1nG
    Learn Powerbi From Scratch - With Portfolio Projects

    Learn Powerbi From Scratch - With Portfolio Projects
    Published 11/2024
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English | Size: 6.68 GB | Duration: 10h 22m

    Mastering Power BI: A Complete Guide to Data Visualization and Analysis from Beginner to Pro

    What you'll learn

    Students will learn how to connect Power BI to various data sources, including Excel, SQL databases, and text files, consolidating them for meaningful

    Learners will dive deep into using Power Query Editor to clean, transform, and manipulate data for better analysis and reporting.

    Students will become proficient in creating visually appealing and interactive reports and dashboards using Power BI’s wide array of visualization tools.

    Learners will gain hands-on experience using DAX functions to perform advanced calculations and analysis, improving their ability to extract insights from data.

    Requirements

    No prior experience with Power BI required: This course is designed for complete beginners. You will be guided step by step through all the necessary skills.

    Basic understanding of data: Familiarity with Excel and working with simple data (e.g., tables, charts) will be helpful, but it’s not a requirement.

    Access to Power BI Desktop: Ensure you have access to a computer where you can install Power BI Desktop (free version available) for hands-on learning.

    Eagerness to learn: A willingness to dive into data analysis and explore Power BI’s features will ensure you get the most from the course.

    Description

    Unlock the full potential of your data with "Mastering Power BI: A Complete Guide to Data Visualization and Analysis from Beginner to Pro." This comprehensive course is designed to take you on a transformative journey from the fundamentals to advanced techniques of Microsoft Power BI, one of the industry's leading tools for data analytics and visualization.Whether you're a novice just stepping into the world of data or an experienced analyst looking to enhance your skill set, this course caters to all levels. You'll start by understanding the basics of Power BI, including installation and navigation of the interface. As you progress, you'll delve into data connectivity, learning how to import and manage data from various sources like Excel, CSV files, and SQL databases.The course places a strong emphasis on practical application. You'll engage hands-on with real-world datasets, using the Power Query Editor to clean and transform data efficiently. We'll demystify DAX (Data Analysis Expressions), guiding you through creating calculated columns and measures, and mastering aggregate functions such as SUM, AVERAGE, and COUNT.Data visualization is at the heart of this course. You'll learn how to create compelling visuals, from basic bar and line charts to advanced interactive dashboards. We'll explore the Visualizations Pane in depth, teaching you how to customize visuals, apply filters and slicers, and implement interactive features like drill-throughs and tooltips.By the end of this course, you'll have the expertise to build dynamic, interactive reports that can drive informed decision-making in any organization. You'll also be prepared to tackle advanced topics and stay updated with the latest features in Power BI.Join us on this exciting journey to become a Power BI pro, and transform the way you see and interact with data!

    Overview

    Section 1: Introduction

    Lecture 1 Introduction

    Lecture 2 Understanding PowerBI

    Section 2: Importing and Preparing Data in Power BI Desktop

    Lecture 3 Installing PowerBI Desktop

    Lecture 4 Exploring PowerBI Connectors

    Lecture 5 Exploring Microsoft Excel Connectors on PowerBI

    Lecture 6 Exploring CSV File Connectors in PowerBI

    Lecture 7 Exploring SQL Connectors in PowerBI

    Section 3: Data Transformation Techniques in Power Query Editor

    Lecture 8 Data Profiling Tools

    Lecture 9 Removing Rows and Columns

    Lecture 10 Adding New Columns

    Lecture 11 Grouping, Pivoting, Merging & Appending Queries

    Lecture 12 Exploring Query Transformations with M Code

    Section 4: Data Modelling in Power BI

    Lecture 13 Data Modelling Essentials

    Section 5: Data Analytics Expression (DAX)

    Lecture 14 Introduction to DAX

    Lecture 15 Understanding Calculated Columns and Measures in Power BI

    Lecture 16 Understanding Aggregate Functions in DAX

    Lecture 17 Time Functions: Creating Date Tables in Power BI with DAX

    Lecture 18 Time Functions: Exploring Date and Time Functions in DAX

    Lecture 19 Time Intelligence Functions

    Lecture 20 Logical Functions in DAX

    Lecture 21 Filter Functions in DAX

    Section 6: Data Visualization in PowerBI

    Lecture 22 Introduction to Data Visualization

    Lecture 23 Navigating the Power BI Report View

    Lecture 24 Creating Basic Visualizations

    Lecture 25 Working with the Visualizations Pane

    Lecture 26 Filtering and Slicing Data

    Lecture 27 Advanced Visualization Types

    Lecture 28 Exploring Small Multiples and Tooltips in Visualization

    Section 7: Guided Project

    Lecture 29 Creating a Healthcare Dashboard from Scratch 1

    Lecture 30 Creating a Healthcare Dashboard from Scratch 2

    Lecture 31 Creating a Healthcare Dashboard from Scratch 3

    Section 8: Portfolio Project

    Lecture 32 Project Title: Sales Performance and Pipeline Dashboard

    Section 9: Closing

    Lecture 33 Closing

    Aspiring data analysts or business intelligence professionals who want to develop practical Power BI skills.,Beginners with no prior experience in Power BI but a keen interest in data visualization and analysis.,Business professionals looking to enhance their ability to generate data-driven insights and reports.,Excel users who want to upgrade their skills by learning a more powerful data analysis tool.,Freelancers and consultants eager to add Power BI expertise to their skill set and offer data solutions to clients.