Download Udemy - Learn Power Query with Microsoft Power BI torrent

Udemy - Learn Power Query with Microsoft Power BI

Torrent:	Udemy - Learn Power Query with Microsoft Power BI
Description:	Learn Power Query with Microsoft Power BI https://DevCourseWeb.com Last Update: 11/2021 Duration: 2h \| Video: .MP4, 1280x720 30 fps \| Audio: AAC, 44.1 kHz, 2ch \| Size: 847 MB Genre: eLearning \| Language: English Learn Data Cleaning and Formatting with Power Query Power Bi. Building Analytics Report with Power bi and Power Query What you'll learn: You will learn about various Power Query functions and operation in Microsoft Power BI You will learn to perform Data Cleaning operations using Power Query editor You will learn various kinds of Power Bi functions such as Split, Merge, Row deletion, Conditional and Index column and much more You will also learn about Sorting, Time and Date functions Description: In this course you will be learning about performing various operations on a dataset using Power Query editor in Microsoft Power BI Business Intelligence software. Power Query is widely used in the industry as quick and easy way to perform various kinds of advanced operations on a dataset using just a matter of few clicks. Although it supports advanced programming support with languages like Python and R. Power Query can be used in Microsoft Power BI as well as Microsoft Excel. Here, you will be learning everything on Power BI Query editor. Power Query can be used for Cleaning and Preparing Dataset suitable for conducting further analysis and finding Insights by creating Visualization charts and Analytics reports in any business intelligence software including Power BI. Power query allows a wide range of functions and operations for data preparation. These process are key components for Data Science and thus Power BI can be effectively used as a BI software for conducting all phases of Data Science. Using Power BI you can clean and prepare your data, create models and drive insights by creating visualization charts and reports. This course is primarily focused on First stage of data science, that is Data cleaning and Preparation with Power Query. In this course, you will be learning following Power Query functions and operations- Row deletion and Column Split Replace Column values Column Merge Adding Suffix and Prefix Converting text to Lowercase and Uppercase Adding and Transforming columns Extract Function Extract based on delimiter Adding Conditional and Index Column Date Functions in Power Query Query Editor options and settings Date and Time function- Age calculation and more Time Functions Sorting Who this course is for: This course is primarily for people who are curious to learn Power Query functions in Power BI People interested in Learning Data Cleaning with Power BI People interested to learn Data Visualization with Power BI Anyone interested to advance their data skills and aspiring data scientist
Downloads:	101
Category:	Other /Tutorials
Size:	847.4 MB
Show Files »	[ DevCourseWeb.com ] Udemy - Learn Power Query with Microsoft Power BI Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1. Introduction 1 Bar chart.pbix (44.2 KB) 1. Introduction.mp4 (15.7 MB) 1. Introduction.srt (2.0 KB) 2 pie chart.pbix (87.2 KB) 2. Resources.html (0.2 KB) Grocery Price - Copy.xlsx (9.2 KB) Grocery Price.xlsx (9.1 KB) billing.xls (50.0 KB) query date and time.pbix (92.5 KB) query.pbix (99.6 KB) 10. Create Data visualization Charts 1. bar chart.mp4 (27.5 MB) 1. bar chart.srt (6.2 KB) 2. Line chart.mp4 (28.4 MB) 2. Line chart.srt (5.8 KB) 2. Getting Started with Power Query 1. Row deletion and Column SPLIT.mp4 (60.4 MB) 1. Row deletion and Column SPLIT.srt (8.3 KB) 2. Replace Column Values.mp4 (32.0 MB) 2. Replace Column Values.srt (5.0 KB) 3. Column MERGE.mp4 (29.0 MB) 3. Column MERGE.srt (4.3 KB) 3. Updating Data values 1. Adding SUFFIX and PREFIX.mp4 (30.8 MB) 1. Adding SUFFIX and PREFIX.srt (4.7 KB) 2. UPPERCASE and Lowercase.mp4 (22.1 MB) 2. UPPERCASE and Lowercase.srt (3.0 KB) 4. Text Extraction 1. Add and Transform Column- Extract function.mp4 (24.1 MB) 1. Add and Transform Column- Extract function.srt (5.3 KB) 2. Extract text based on delimiter.mp4 (17.7 MB) 2. Extract text based on delimiter.srt (3.6 KB) 5. Index and Conditional Columns 1. Adding Conditional and Index column.mp4 (40.1 MB) 1. Adding Conditional and Index column.srt (9.1 KB) 2. query editor options.mp4 (31.8 MB) 2. query editor options.srt (4.7 KB) 3. Sorting.mp4 (26.4 MB) 3. Sorting.srt (3.9 KB) 6. Date and Time Functions 1. Date functions in Power Query.mp4 (18.4 MB) 1. Date functions in Power Query.srt (3.7 KB) 2. Date and Time function- age and more.mp4 (22.1 MB) 2. Date and Time function- age and more.srt (3.5 KB) 3. Time function.mp4 (21.2 MB) 3. Time function.srt (3.3 KB) 7. Creating Visualization charts 1. bar chart.mp4 (27.5 MB) 1. bar chart.srt (6.2 KB) 2. Line chart.mp4 (28.4 MB) 2. Line chart.srt (5.5 KB) 3. Ring chart.mp4 (35.5 MB) 3. Ring chart.srt (6.7 KB) 4. Treemap- Inter-Related charts in a dashboard.mp4 (32.0 MB) 4. Treemap- Inter-Related charts in a dashboard.srt (6.5 KB) 8. Creating Slicers and advanced charts 1. Table and Matrix.mp4 (34.2 MB) 1. Table and Matrix.srt (7.0 KB) 2. Drill Down Table and Matrix.mp4 (26.9 MB) 2. Drill Down Table and Matrix.srt (4.6 KB) 3. Slicer- Basics.mp4 (20.8 MB) 3. Slicer- Basics.srt (4.2 KB) 4. Slicers- Date Slicer.mp4 (26.2 MB) 4. Slicers- Date Slicer.srt (4.8 KB) 5. View Data and Export in CSV.mp4 (24.0 MB) 5. View Data and Export in CSV.srt (3.6 KB) 6. Simple Map and modes.mp4 (46.2 MB) 6. Simple Map and modes.srt (5.7 KB) 9. Removing Null values using python script 1. Python script to replace null values.mp4 (49.3 MB) 1. Python script to replace null values.srt (10.9 KB) 2. Append Query- Join tables to bring back lost date data.mp4 (48.0 MB) 2. Append Query- Join tables to bring back lost date data.srt (8.6 KB) Bonus Resources.txt (0.4 KB) files
Added:	2021-12-18 10:02:55
Language:	English
Peers:	Seeders : 5 , Leechers : 1
Tags:	Development Data Science Power Query Udemy
Release name:	Udemy - Learn Power Query with Microsoft Power BI
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