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Power BI - Power Query Editor in Kannada

Complete guidance to Power Query Editor in Kannada for Beginners
Rating: 4.0 out of 54.0 (1 rating)
36 students
Created by iTech Analytic Solutions
Last updated 9/2020
English
30-Day Money-Back Guarantee

What you'll learn

  • The Entire course is recorded in Kannada, so that many students, professionals who wants to learn Business Intelligence, Power BI, Power Query Editor, connecting and transforming Data, in Kannada Language, they can easy learn by this Course.
  • Understand Business Intelligence and its uses in Kannada Language
  • Connecting Various Data Sources from Power BI Query Editor
  • Use the Power Query Editor to connect to one or many data sources, shape and transform the data
  • Learn all the options available in the Power Query Editor to Data Model and get the data to Power BI Desktop to create reports and dashboards

Requirements

  • Basic Knowledge of Computers
  • Basic Knowledge of MS Excel
  • Knowledge of Data, Pivot Tables

Description

Power BI is a data analytics tool developed by Microsoft. It is used to visualize data and find useful insights.

In this course, you will see how to work with the Query Editor in Power BI Desktop and completely explained in Kannada Language.

Power BI has various types

- Power BI Desktop

- Power BI Service

- Power BI Mobile

- Power BI Developer

Power BI desktop is the free version, and the Power Query Editor is available in all three types. Power BI Desktop has several components to create various visualizations, transform, model also generate advanced reports from data.

The Power Query Editor in Power BI is used to transform or edit data files before they are actually loaded into the Power BI.

The Power Query Editor helps us to modify data by selecting rows and columns, splitting rows and columns, pivoting and unpivoting columns, etc. The changes made by the Power Query Editor in Power BI are not reflected in the actual dataset. Once you have pre-processed the data and have transformed it into the required format, you can load the data into the Power BI environment.

In this course, you will see how to use the Power Query Editor in Power BI Desktop to transform data and then load it into the Power BI Desktop.

Who this course is for:

  • Students who are willing to learn Business Intelligence for their academic projects
  • Freshers who are looking for job to prepare for the interviews
  • Professionals who are looking for reference on Power BI and Power Query Editor

Course content

1 section • 27 lectures • 4h 39m total length

  • Preview26:44
  • Preview20:14
  • Preview12:25
  • Chapter 04 - Manage Columns
    07:45
  • Chapter 05 - Reduce Rows
    14:12
  • Chapter 06 - Format Text Columns
    15:36
  • Chapter 07 - Format Date Columns
    11:04
  • Chapter 08 - Format Number Columns
    15:23
  • Chapter 09 - Group By
    07:54
  • Preview04:16
  • Chapter 11 - Split Columns
    09:52
  • Chapter 12 - Append Query
    08:12
  • Chapter 13 - Merge Queries
    12:38
  • Chapter 14 - Combine Files
    09:21
  • Chapter 15 - Pivot Columns
    05:09
  • Chapter 16 - Unpivot Columns
    08:22
  • Preview14:26
  • Chapter 18 - Custom Column
    20:30
  • Chapter 19 - Index Column
    05:20
  • Chapter 20 - Conditional Column
    12:55
  • Chapter 21 - Replace Columns
    06:36
  • Chapter 22 - Count Rows
    03:17
  • Chapter 23 - Reverse Rows
    02:57
  • Chapter 24 – Transpose
    07:14
  • Chapter 25 - Move Columns
    04:54
  • Chapter 26 - Rename Columns
    02:52
  • Chapter 27 - Data Preview
    09:36

Instructor

iTech Analytic Solutions
Analytics & Reporting Experts
iTech Analytic Solutions
  • 4.4 Instructor Rating
  • 32 Reviews
  • 2,815 Students
  • 4 Courses

"iTech Analytic Solutions (iTAS)” is a leading MIS Reporting, Business Analytics, Data Analytics & Data Science training institute contributing towards the requirement of current IT & NON-IT industries. iTAS offers training on Tools & Softwares like Advance Excel, VBA Macros, Power BI, Tableau, Python Programming, R Language, SQL, MS Access, SQL Server, MySQL, Advanced MS Word, Advanced MS PowerPoint.

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