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Power BI Desktop - Solving Data Prep Challenges

Category: Tutorials


Power BI Desktop - Solving Data Prep Challenges
Last updated 1/2023
Created by Dan We
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 16 Lectures ( 2h 2m ) | Size: 656 MB


How to do data preparation in Power BI Desktop - data cleaning with Power BI Desktop - data processing in Power BI
What you'll learn
We will solve common Power BI Data preparation issues
We will improve our Power BI skills
We will learn how to use the Powerquery Editor of Power BI more efficiently
We will improve our Power BI skills which we already have gained from the other Power BI Masterclass courses on udemy
Requirements
I highly recommend to take the Power BI Masterclass - beginners to advanced course first
You should have prior Power BI knowledge
Power BI Desktop installation (download for free on windows)
Description
Microsoft Power BI Masterclass - Solving Data Prep ChallengesBusiness Intelligence / Business Analytics is in high demand. Companies are constantly searching for ways to make better and faster and smarter decisions. Therefore they rely heavily on data. Small company or Multinational -  data driven decision making is the key to success for any business in the world of tomorrow.Because of that companies are drastically increasing to step up their efforts to find skilled employees and freelancers with the necessary capabilities to help with analyzing data and creating valuable highly profitable insights. Since there is way more demand than supply it is a "War for talent". And the competition will increase further. This environment is a bless for anyone who acquires the necessary capabilities and positions herself/himselfMS Power BI is an advanced yet easy to get started self service business analytics / business intelligence solution provided by Microsoft which is currently in very hot demand. From my personal experience I can tell you that companies will actively searching for you if you master Power BI. Diving into data & analytics can not only immensely improve your career opportunities but also your job satisfaction!Power BI is also a great tool for data science too. A lot of data scientists like to use it for visualizing and presenting the findings. Therefore learning to use this tool can also be a valuable skill for data science jobs.Let's talk about data!!!This course is inspired by students and extends my Power BI Masterclass series on udemy. This course is not a visual course like the other parts of the series. This time it's all about data preparation in Power BI Desktop. How can we leverage the Power Query Editor to prepare our data. Data preprocessing is key so we want to make sure to have to right data for visualizing in our reportsSo let's dive into various Power BI Data prep challenges and find out a possible solution to solve them. Are you ready?Update: The complete Power BI Masterclass Series on udemy (I have aggregated some classes together to provide more content value per class for you. I really hope that serves you better!1. Power BI Masterclass - beginners to advanced2. Microsoft Power BI Masterclass - Expand Excellence3.Power BI Masterclass - DAX, Excel And More4. The Power BI Masterclass - Additional Tips and Tricks5. Power BI Desktop - Data Prep Challenges6. Power BI Masterclass - DAX, R and Gateways7. Power BI Masterclass - Python Finance and Advanced DAX8. Power BI Masterclass - the next level9. Power BI DAX Fundamentals Mastering the Key Concepts10. Power BI Masterclass Calculation Groups with Tabular Editor11. The Power BI Service Masterclass12. How to build a profit and loss statement in Power BI DesktopWe got a lot to do so let's get into it!
Who this course is for
Power BI User
Data Analysts
Every Power BI Desktop user who wants to use and understand advanced DAX calculations
Students interested in Data analytics and Data science
Everybody who wants to visualize data with Power BI Desktop
Homepage
https://www.udemy.com/course/power-bi-desktop-solving-data-prep-challenges/


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