Learn Power Query with Microsoft Power BI

Learn Data Cleaning and Formatting with Power Query Power Bi. Building Analytics Report with Power bi and Power Query

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.

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.

Course Content

  • Introduction –> 2 lectures • 2min.
  • Getting Started with Power Query –> 3 lectures • 14min.
  • Updating Data values –> 2 lectures • 6min.
  • Text Extraction –> 2 lectures • 7min.
  • Index and Conditional Columns –> 3 lectures • 14min.
  • Date and Time Functions –> 3 lectures • 9min.
  • Creating Visualization charts –> 4 lectures • 20min.
  • Creating Slicers and advanced charts –> 6 lectures • 25min.
  • Removing Null values using python script –> 2 lectures • 15min.
  • Create Data visualization Charts –> 2 lectures • 10min.

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Requirements

  • Basic Idea about Microsoft Excel or any other Spreadsheet editor.

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
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