This intermediate Microsoft Excel tutorial focuses on learning Power Query. In this step-by-step Excel Power Query tutorial, we'll show you how to use Microsoft Excel's powerful data transformation tool. Power Query can help you quickly clean, consolidate, and analyze data from multiple sources.
If you're new to Power Query, this tutorial is perfect for you. We'll start with an introduction to the Power Query interface and walk you through connecting to various data sources such as Excel files, text files, and databases. We'll then demonstrate how to use Power Query's features, such as merging, filtering, and pivoting, to transform and refine your data.
This tutorial provides easy-to-follow instructions, so you can practice using Power Query along with us. By the end of this video, you'll have a solid understanding of Power Query and how to use it to streamline your data analysis.
Watch this Excel Power Query tutorial for beginners and start taking your data analysis to the next level. Don't forget to hit the like button and subscribe to our channel for more Excel tutorials!
Power Query Practice File:
https://bit.ly/Power_Query_Practice_Data0:00 Introduction to Power Query in Excel
0:45 What is Power Query?
2:34 Where do you find Power Query?
3:05 How to import data from the web with Power Query
8:40 How to import data from a range or table in Power Query
9:50 Power Query Editor layout
14:25 Make changes to your headers
16:42 Examining the applied steps
17:06 How to convert data types in the Power Query Editor
18:36 Remove unwanted rows (filtering)
20:39 How to split columns in Power Query
22:45 Create a new column
24:33 Create a new column to find a value
28:33 Rounding and moving column
29:39 How to merge queries and join tables in Power Query
34:21 Add new data, then refresh your query
Intermediate Excel Lesson 1:
https://youtu.be/PqczHnsNFdMLearn how to use Power Query in Power BI:
https://youtu.be/hehYMb9kobwAbout the Site 🌐
This site provides links to random videos hosted at YouTube, with the emphasis on random. 🎥
Origins of the Idea 🌱
The original idea for this site stemmed from the need to benchmark the popularity of a video against the general population of YouTube videos. 🧠
Challenges Faced 🤔
Obtaining a large sample of videos was crucial for accurate ranking, but YouTube lacks a direct method to gather random video IDs.
Even searching for random strings on YouTube doesn't yield truly random results, complicating the process further. 🔍
Creating Truly Random Links 🛠️
The YouTube API offers additional functions enabling the discovery of more random videos. Through inventive techniques and a touch of space-time manipulation, we've achieved a process yielding nearly 100% random links to YouTube videos.
About YouTube 📺
YouTube, an American video-sharing website based in San Bruno, California, offers a diverse range of user-generated and corporate media content. 🌟
Content and Users 🎵
Users can upload, view, rate, share, and comment on videos, with content spanning video clips, music videos, live streams, and more.
While most content is uploaded by individuals, media corporations like CBS and the BBC also contribute. Unregistered users can watch videos, while registered users enjoy additional privileges such as uploading unlimited videos and adding comments.
Monetization and Impact 🤑
YouTube and creators earn revenue through Google AdSense, with most videos free to view. Premium channels and subscription services like YouTube Music and YouTube Premium offer ad-free streaming.
As of February 2017, over 400 hours of content were uploaded to YouTube every minute, with the site ranking as the second-most popular globally. By May 2019, this figure exceeded 500 hours per minute. 📈
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