Udemy - Power BI Data Analysis by Robin Solonenko

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[ TutGee.com ] Udemy - Power BI Data Analysis by Robin Solonenko
  • Get Bonus Downloads Here.url (0.2 KB)
  • ~Get Your Files Here ! 01 - Introduction
    • 001 Course & Instructor Intro.mp4 (32.1 MB)
    • 002 Support Notes for Students.html (2.7 KB)
    • 003 Download Course Resources & PDF Manual.html (0.5 KB)
    • 004 Contacting the Instructor.mp4 (10.7 MB)
    • 005 Let's Set Some Expectations.mp4 (29.4 MB)
    • 006 PDF Manual and Video Correlation.html (0.4 KB)
    02 - Introduction to Power BI
    • 001 Power BI Concepts.mp4 (53.0 MB)
    • 002 Desktop Interface.mp4 (29.6 MB)
    • 003 Datasets & Auto Recovery.mp4 (16.7 MB)
    03 - Connecting to your Data
    • 001 File & Data Setup.mp4 (15.8 MB)
    • 002 Connecting to your Data Source.mp4 (42.2 MB)
    • 003 Relationships.mp4 (49.1 MB)
    • 004 Creating New Tables.mp4 (23.8 MB)
    • 005 Import another Data Source.mp4 (21.1 MB)
    • 006 Importing Similar CSV Files.mp4 (34.4 MB)
    • 007 Adding New Records to Source Data.mp4 (23.1 MB)
    • 008 Section Summary.mp4 (53.0 MB)
    • 009 Problem Solving Tips.mp4 (40.4 MB)
    • 010 Section 3 Chapter 2 Exercise.mp4 (11.3 MB)
    04 - Transforming Your Data
    • 001 Getting Your Data Ready.mp4 (29.7 MB)
    • 002 Power Query Editor (PQE).mp4 (90.8 MB)
    • 003 Combining Queries.mp4 (81.8 MB)
    • 004 Advanced Editor & M Lanaguage.mp4 (31.9 MB)
    • 005 Adding Columns.mp4 (32.6 MB)
    • 006 Section Summary.mp4 (68.7 MB)
    • 007 Problem Solving Tips.mp4 (68.0 MB)
    • 008 Section 4 Chapter 3 Exercise.mp4 (9.7 MB)
    05 - Data Modeling with DAX
    • 001 What is DAX.mp4 (82.3 MB)
    • 002 Calculated Tables.mp4 (41.6 MB)
    • 003 Calculated Columns vs Measures.mp4 (214.3 MB)
    • 004 Variables with DAX.mp4 (26.3 MB)
    • 005 Section Summary.mp4 (80.9 MB)
    • 006 Problem Solving Tips.mp4 (67.2 MB)
    • 007 Section 5 Chapter 4 Exercise.mp4 (8.8 MB)
    06 - Visualizations for your Reports
    • 001 Visualization Pane.mp4 (23.6 MB)
    • 002 Type of Visuals.mp4 (178.7 MB)
    • 003 Enhancing Your Reports.mp4 (85.2 MB)
    • 004 Section Summary.mp4 (39.7 MB)
    • 005 Section 6 Chapter 5 Exercise.mp4 (10.2 MB)
    07 - Interactive Visualizations
    • 001 Using Tool Tips.mp4 (97.9 MB)
    • 002 Hierarchies.mp4 (57.0 MB)
    • 003 Bookmarks.mp4 (43.2 MB)
    • 004 Filters & Slicers.mp4 (95.7 MB)
    • 005 Section Summary.mp4 (82.8 MB)
    • 006 Section 7 Chapter 6 Exercise.mp4 (8.3 MB)
    08 - Publishing to the Web Service
    • 001 Power BI Web Service.mp4 (47.0 MB)
    • 002 Using My Workspace.mp4 (71.2 MB)
    • 003 Dashboards.mp4 (70.1 MB)
    • 004 Section 8 Chapter 7 Exercise.mp4 (6.6 MB)
    09 - Course Project
    • 001 Instructor Thank You!.mp4 (19.2 MB)
    • 002 Power BI Project Exercise.mp4 (20.0 MB)
    • Bonus Resources.txt (0.4 KB)

Description

Power BI Data Analysis by Robin Solonenko



https://TutGee.com

Published 11/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 51 lectures (5h 3m) | Size: 2.37 GB

Jump from Excel / Power Query to Power BI and learn the fundamentals of data analysis and create stunning visuals!

What you'll learn
Learn the basics of Power BI; screen and menu layout options; Connecting to your Data Source; how relationships work.
Learn how to use the Power Query Editor and understand the use of the M Language that gets created for you and how to edit that language.
Learn the difference beween Calculated Columns vs Measures and use the DAX functional language to build simple and complex formulas.
Create interactive and appealing visuals for any report; Learn to use the built-in visuals to display your final results
Finally, you will publish your reports to the Power BI Web Service and build your dashboards that you can share with your team members or management.

Requirements
Prior to enrolling in this course, you should have extensive knowledge of Excel formulas and functions and recommended that you have used the Power Query add-on for Excel. A working knowledge of databases like MS Access or SQL would be an asset. You must have installed Power BI (Free) from Microsoft.



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Udemy - Power BI Data Analysis by Robin Solonenko


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