Coursera

Extract, Transform and Load Data in Power BI (Coursera)

Offered by Microsoft,
Extract, Transform and Load Data in Power BI (Coursera)

This course forms part of the Microsoft Power BI Analyst Professional Certificate. This Professional Certificate consists of a series of courses that offers a good starting point for a career in data analysis using Microsoft Power BI.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

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
This is also a great way to prepare for the Microsoft PL-300 exam. By passing the PL-300 exam, you’ll earn the Microsoft Power BI Data Analyst certification.
This course is part of the Microsoft Power BI Data Analyst Professional Certificate.

What you'll learn

  • How to set up a data source and explain and configure storage modes in Power BI.
  • How to prepare for data modeling by cleaning and transforming data.
  • How to use profiling tools to identify data anomalies.
  • How to reference queries and dataflows and use the Advanced Editor to modify code.

Syllabus

Data Sources in Power BI
Module 1
In this module, you'll set up data sources and explore the different data source capabilities in Power BI.

Transforming Data in Power BI
Module 2
In this module, you'll practice cleaning and transforming data to prepare for data modeling in later courses.

Advanced ETL in PowerBI
Module 3
In this module, you'll gain an understanding of the load portion of the ETL process and practice data profiling and advanced queries.

Graded Assessment and Course wrap up
Module 4
In this module, you'll be assessed on the key skills covered in the course.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Bioinformatic Methods II (Coursera) Coursera
University of Toronto

Bioinformatic Methods II (Coursera)

Sci: Biology & Life Sciences Health & Society

Large-scale biology projects such as the sequencing of the human genome and gene expression surveys using RNA-seq, microarrays and other technologies have created a wealth of data for biologists. However, the challenge facing scientists is analyzing and even accessing these data to extract useful information pertaining to the system being studied. This course focuses on employing existing bioinformatic resources – mainly web-based programs and databases – to access the wealth of data to answer questions relevant to the average biologist, and is highly hands-on.

Nov 23rd 2026
5-12 Weeks
Biology Bioinformatics Molecular Biology
Details
Statistics and Data Analysis with Excel, Part 1 (Coursera) Coursera
University of Colorado Boulder

Statistics and Data Analysis with Excel, Part 1 (Coursera)

Statistics & Data Analysis Data Science

Designed for students with no prior statistics knowledge, this course will provide a foundation for further study in data science, data analytics, or machine learning. Topics include descriptive statistics, probability, and discrete and continuous probability distributions. Assignments are conducted in Microsoft Excel (Windows or Mac versions). Designed to be taken with the follow-up course, “Statistics and Data Analysis with Excel, Part 2.”

Nov 23rd 2026
5-12 Weeks
Statistics Probability Excel
Details
Introduction to Accounting Data Analytics and Visualization (Coursera) Coursera
University of Illinois at Urbana-Champaign

Introduction to Accounting Data Analytics and Visualization (Coursera)

Statistics & Data Analysis Data Science

Accounting has always been about analytical thinking. From the earliest days of the profession, Luca Pacioli emphasized the importance of math and order for analyzing business transactions. The skillset that accountants have needed to perform math and to keep order has evolved from pencil and paper, to typewriters and calculators, then to spreadsheets and accounting software. A new skillset that is becoming more important for nearly every aspect of business is that of big data analytics: analyzing large amounts of data to find actionable insights. This course is designed to help accounting students develop an analytical mindset and prepare them to use data analytic programming languages like Python and R.

Nov 30th 2026
5-12 Weeks
Excel Accounting Data Analysis
Details
Data intelligence for businesses and managers (Coursera) Coursera
Institut Mines-Telecom

Data intelligence for businesses and managers (Coursera)

Statistics & Data Analysis Data Science

With the proliferation of connected objects (computers, tablets, watches, etc.), huge masses of data are generated every second. This Big Data has led to the emergence of a data economy, where data is the main source of competitive advantage for companies. In this sense, data and its processing tools have become a strategic priority for companies, and the main gas pedal of their digital transformation.

Nov 30th 2026
5-12 Weeks
Artificial Intelligence Data Management Business Strategy
Details
Empathy, Data, and Risk (Coursera) Coursera
University of Illinois at Urbana-Champaign

Empathy, Data, and Risk (Coursera)

Business

Risk Management and Innovation develops your ability to conduct empathy-driven and data-driven analysis in the domain of risk management. This course introduces empathy as a professional competency. It explains the psychological processes that inhibit empathy-building and the processes that determine how organizational stakeholders respond to risk.

Nov 23rd 2026
4 Weeks
Risk Management Data Analysis Brainstorming
Details
Global Statistics - Composite Indices for International Comparisons (Coursera) Coursera
University of Geneva

Global Statistics - Composite Indices for International Comparisons (Coursera)

Statistics & Data Analysis Data Science

In this course on global statistics, offered by the University of Geneva jointly with the ETH Zürich KOF, you will learn the general approach of constructing composite indices and some of resulting problems. We will discuss the technical properties, the internal structure (like aggregation, weighting, stability of time series), the primary data used and the variable selection methods. These concepts will be illustrated using a sample of the most popular composite indices. We will try to address not only statistical questions but also focus on the distinction between policy-, media- and paradigm-driven indicators.

Nov 23rd 2026
5-12 Weeks
Statistics Data Analysis Comparison
Details
Business Intelligence and Competitive Analysis (Coursera) Coursera
Rutgers University

Business Intelligence and Competitive Analysis (Coursera)

Business

By the end of 2019, it is clear that American Airlines (AAL), the world’s largest airline group, is in trouble. With the growth rate of its stock price ranked at the bottom of all major US airlines and going in the opposite direction from the SP500 index, AAL needs to find out what is going on, and how to turn the company and its stock price around.

Nov 23rd 2026
4 Weeks
Data Analysis Business Intelligence Benchmarking
Details
Business Applications of Hypothesis Testing and Confidence Interval Estimation (Coursera) Coursera
Rice University

Business Applications of Hypothesis Testing and Confidence Interval Estimation (Coursera)

Statistics & Data Analysis Data Science

Confidence intervals and Hypothesis tests are very important tools in the Business Statistics toolbox. A mastery over these topics will help enhance your business decision making and allow you to understand and measure the extent of ‘risk’ or ‘uncertainty’ in various business processes. This course advances your knowledge about Business Statistics by introducing you to Confidence Intervals and Hypothesis Testing. These are done by easy to understand applications.

Nov 30th 2026
4 Weeks
Hypothesis Data Analysis Microsoft Excel
Details
Data science perspectives on pandemic management (Coursera) Coursera
Politecnico di Milano

Data science perspectives on pandemic management (Coursera)

Statistics & Data Analysis Data Science

The COVID-19 pandemic is one of the first world-wide scenarios where data made a difference in capturing and analyzing the diffusion and impact of the disease. We offer an introductory course for decision makers, policy makers, public bodies, NGOs, and private organizations about methods, tools, and experiences on the use of data for managing current and future pandemic scenarios.

Nov 30th 2026
5-12 Weeks
Gamification Data Analysis Data Science
Details
Population Health: Predictive Analytics (Coursera) Coursera
Leiden University

Population Health: Predictive Analytics (Coursera)

Statistics & Data Analysis Data Science

Predictive analytics has a longstanding tradition in medicine. Developing better prediction models is a critical step in the pursuit of improved health care: we need these tools to guide our decision-making on preventive measures, and individualized treatments. In order to effectively use and develop these models, we must understand them better. In this course, you will learn how to make accurate prediction tools, and how to assess their validity. First, we will discuss the role of predictive analytics for prevention, diagnosis, and effectiveness. Then, we look at key concepts such as study design, sample size and overfitting.

Nov 23rd 2026
4 Weeks
Health Data Analysis Predictive Analytics
Details