What experience level is required for Querying and Shaping Data in Power BI Using M?

This course is aimed at the Intermediate level. Having some basic understanding of the topic will help you get the most out of the curriculum.

How long does it take to complete Querying and Shaping Data in Power BI Using M?

The total duration of the course is approximately 2 hour 36 minutes. Since it is generally self-paced, completion time depends entirely on your learning schedule and availability.

Is this course more theory-focused or project-focused?

This course provides a strong mix of conceptual theory and practical application to ensure a comprehensive understanding of the subject matter.

Data Science

Querying and Shaping Data in Power BI Using M

Name: Querying and Shaping Data in Power BI Using M
Availability: InStock
Rating: 4 (41 reviews)

We all have to deal with dirty data. By using the M language, we can clean and prep our data for use in Power BI. M turns manual data cleanup into an automated process.

4|Reviews (41)

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Core Tech

₹10,563/yr

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Core Tech

₹1,254/mo

Pluralsight Teams₹4,166.75 per user/month, billed annually

₹50,004

CompleteBilled Monthly

₹2,370/mo

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Course Insight

Suitable for intermediate learners. Works well as a continuation after mastering Data Science fundamentals. It bridges the gap toward advanced, production-level engineering.

Intermediate FriendlySelf-Paced Learning

SKILLS TO
MASTER

Analytics

Exploratory Data Analysis

Modeling

Predictive Machine Learning

SQL Querying

Relational Data Management

Pandas

Matplotlib

Statistics

Tableau

ETL

Careers:Relevant for professionals pursuing roles within Data Science.

💡This course fits perfectly into our comprehensiveData Science Learning Path. Explore the ecosystem to see how it compares to other foundational skills.

Quick Facts

2 hour 36 minutes

Below sections are verified from last major sync. For real-time updates and today's latest lectures, Check official page here.

What You’ll Learn

Course Overview : 0mins.
Meet M, a Macro Language for Data Prep : 28mins.
Extracting Your Trapped Data : 35mins.
Molding Your Data into the Right Shape : 26mins.
Combining and Merging Multiple Data Sources : 15mins.
Cleaning up Messy Text Values : 27mins.
Manipulating Dates and Times : 21mins.

See side-by-side differences in what you’ll learn

Description

We all have to deal with semi-structured data that is scattered across multiple data sources. In this course, Querying and Shaping Data in Power BI Using M, you'll learn how the Power Query formula language known as M can automate data cleanup. First, you'll learn how to extract trapped data. Next, you'll discover how to massage and shape it. Finally, you'll explore how to work with text and date values. By the end of this course, you'll have a deeper understanding of the M language.

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