| 1 Bar chart.pbix | 44.2 KB | ||
| 1. Add and Transform Column- Extract function.mp4 | 24.1 MB | ||
| 1. Add and Transform Column- Extract function.srt | 5.3 KB | ||
| 1. Adding Conditional and Index column.mp4 | 40.1 MB | ||
| 1. Adding Conditional and Index column.srt | 9.1 KB | ||
| 1. Adding SUFFIX and PREFIX.mp4 | 30.8 MB | ||
| 1. Adding SUFFIX and PREFIX.srt | 4.7 KB | ||
| 1. Date functions in Power Query.mp4 | 18.4 MB | ||
| 1. Date functions in Power Query.srt | 3.7 KB | ||
| 1. Introduction.mp4 | 15.7 MB | ||
| 1. Introduction.srt | 2 KB | ||
| 1. Python script to replace null values.mp4 | 49.3 MB | ||
| 1. Python script to replace null values.srt | 10.9 KB | ||
| 1. Row deletion and Column SPLIT.mp4 | 60.4 MB | ||
| 1. Row deletion and Column SPLIT.srt | 8.3 KB | ||
| 1. Table and Matrix.mp4 | 34.2 MB | ||
| 1. Table and Matrix.srt | 7 KB | ||
| 1. bar chart.mp4 | 27.5 MB | ||
| 1. bar chart.srt | 6.2 KB | ||
| 2 pie chart.pbix | 87.2 KB | ||
| 2. Append Query- Join tables to bring back lost date data.mp4 | 48 MB | ||
| 2. Append Query- Join tables to bring back lost date data.srt | 8.6 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 | ||
| 2. Drill Down Table and Matrix.mp4 | 26.9 MB | ||
| 2. Drill Down Table and Matrix.srt | 4.6 KB | ||
| 2. Extract text based on delimiter.mp4 | 17.7 MB | ||
| 2. Extract text based on delimiter.srt | 3.6 KB | ||
| 2. Line chart.mp4 | 28.4 MB | ||
| 2. Line chart.srt | 5.5 KB | ||
| 2. Replace Column Values.mp4 | 32 MB | ||
| 2. Replace Column Values.srt | 5 KB | ||
| 2. Resources.html | 204.8 B | ||
| 2. UPPERCASE and Lowercase.mp4 | 22.1 MB | ||
| 2. UPPERCASE and Lowercase.srt | 3 KB | ||
| 2. query editor options.mp4 | 31.8 MB | ||
| 2. query editor options.srt | 4.7 KB | ||
| 3. Column MERGE.mp4 | 29 MB | ||
| 3. Column MERGE.srt | 4.3 KB | ||
| 3. Ring chart.mp4 | 35.5 MB | ||
| 3. Ring chart.srt | 6.7 KB | ||
| 3. Slicer- Basics.mp4 | 20.8 MB | ||
| 3. Slicer- Basics.srt | 4.2 KB | ||
| 3. Sorting.mp4 | 26.4 MB | ||
| 3. Sorting.srt | 3.9 KB | ||
| 3. Time function.mp4 | 21.2 MB | ||
| 3. Time function.srt | 3.3 KB | ||
| 4. Slicers- Date Slicer.mp4 | 26.2 MB | ||
| 4. Slicers- Date Slicer.srt | 4.8 KB | ||
| 4. Treemap- Inter-Related charts in a dashboard.mp4 | 32 MB | ||
| 4. Treemap- Inter-Related charts in a dashboard.srt | 6.5 KB | ||
| 5. View Data and Export in CSV.mp4 | 24 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 | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| Grocery Price - Copy.xlsx | 9.2 KB | ||
| Grocery Price.xlsx | 9.1 KB | ||
| billing.xls | 50 KB | ||
| query date and time.pbix | 92.5 KB | ||
| query.pbix | 99.6 KB | ||
| ▲ 66 total files | |||
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
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