Data Extract, Transform, and Load in Power BI

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Data Extract, Transform, and Load in Power BI

Coursera · Beginner ·📊 Data Analytics & Business Intelligence ·3mo ago

Key Takeaways

Extracts, transforms, and loads data in Power BI using Power Query

Original Description

In this course, you will learn the process of Extract, Transform and Load or ETL. You will identify how to collect data from and configure multiple sources in Power BI and prepare and clean data using Power Query. You’ll also have the opportunity to inspect and analyze ingested data to ensure data integrity. After completing this course, you’ll be able to: • Identify, explain and configure multiple data sources in Power BI • Clean and transform data using Power Query • Inspect and analyze ingested data to ensure data integrity
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
GBase 8a unpivot Function: Turning Columns into Rows
Learn to use the unpivot function in GBase 8a to transform columns into rows, a crucial skill for data manipulation and analysis
Dev.to · Michael
📰
Bulut Bilişim ve Veri Bilimi: Model Eğitiminden Canlıya Uzanan Bootcamp Yolculuğu
Learn how to transition from local machine-based data science to cloud-based computing, and discover the benefits of using cloud computing for model training and deployment.
Medium · Data Science
📰
10 Benefits of Enterprise AI Analytics Every Organization Should Know
Learn how enterprise AI analytics can benefit your organization with 10 key advantages, from improved decision-making to enhanced customer experiences
Dev.to · Ravi Teja
📰
Your rolling_std Is Lying — The 21,000× Error You Can’t See
Discover how the rolling_std function can introduce a 21,000× error and learn how to fix it using a 50-year-old algorithm
Medium · Data Science
Up next
SQL Interview Questions and Answers (2026) | SQL Window Functions
Rajeev Kanth | BEPEC
Watch →