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Microsoft
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
Register for this course and see more details by visiting:
OpenCourser.com/course/yksv56/data
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What's inside
Syllabus
Data Sources in Power BI
In this module, you'll set up data sources and explore the different data source capabilities in Power BI.
Transforming Data in Power BI
Read more
Syllabus
Data Sources in Power BI
In this module, you'll set up data sources and explore the different data source capabilities in Power BI.
Transforming Data in Power BI
Read more
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Covers ETL processes, which are essential for preparing data for analysis and reporting
Uses Power BI, a leading tool for data visualization and business analytics
Teaches data cleaning and transformation using Power Query, a powerful tool within Power BI
Presented by Microsoft, which is known for its business software and data analytics tools
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Reviews summary
Etl fundamentals with power bi
According to learners, this course provides a solid foundation in the ETL process using Microsoft Power BI. Students particularly appreciate the practical application of Power Query for data cleaning and transformation. Many find the hands-on exercises and demos to be highly beneficial for reinforcing the concepts learned in the lectures. While broadly seen as well-structured and clear, some more experienced users may find parts of the content basic, and a few reviewers noted that sections could potentially benefit from updates to reflect the latest Power BI interface changes.
Suitable for beginners, potentially basic for others.
"Found it a great starting point for understanding ETL within Power BI."
"The course moves a bit too fast in some of the more complex areas for a complete beginner."
"If you're already familiar with data concepts or SQL, some parts might feel quite basic."
Content is logically organized.
"The modules flow logically, guiding you step-by-step through the ETL process."
"Course structure made it easy to follow the progression from data sources to transformation."
"Broken down into manageable sections that build upon each other nicely."
Exercises reinforce learning effectively.
"The practical exercises throughout the modules helped solidify my understanding."
"I really appreciated the hands-on approach and the opportunity to work with real data."
"Applying the steps yourself makes a huge difference compared to just watching videos."
Focuses on essential data cleaning.
"The Power Query section was incredibly useful for real-world cleaning tasks."
"I got a much better handle on data transformations using Power Query thanks to this course."
"The exercises on shaping and cleaning data in Power Query were very practical and immediately applicable."
Content could benefit from reflecting recent changes.
"Some parts felt slightly outdated due to recent updates in the Power BI interface."
"A few interface elements in the videos didn't exactly match the current software."
"Hope they update the examples and interface visuals soon to match the latest version."
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Data Extract, Transform, and Load in Power BI with these
activities:
Review Basic Data Concepts
Show steps
Reinforce your understanding of fundamental data concepts to better grasp the ETL process in Power BI.
Browse courses on
Data Modeling
Show steps
-
Review definitions of data warehousing, data lakes, and databases.
-
Study different data types and their implications for analysis.
-
Practice identifying data sources and their characteristics.
Read 'The Data Warehouse Toolkit'
Show steps
Deepen your understanding of data warehousing principles to improve your ETL processes.
View
The Data Warehouse Toolkit: The Definitive...
on Amazon
Show steps
-
Read the chapters on dimensional modeling and schema design.
-
Apply the concepts to your Power BI projects.
-
Consider how dimensional modeling can improve data integrity.
Read 'Collect, Combine, and Transform Data Using Power Query in Excel and Power BI'
Show steps
Deepen your understanding of Power Query to improve your ETL processes.
View
Collect, Combine, and Transform Data Using...
on Amazon
Show steps
-
Read the chapters on Power Query functions and data transformation.
-
Apply the concepts to your Power BI projects.
-
Consider how Power Query can improve data integrity.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Follow Power Query Tutorials
Show steps
Enhance your data transformation skills by working through Power Query tutorials.
Browse courses on
Power Query
Show steps
-
Find tutorials on common Power Query transformations.
-
Practice applying transformations to sample datasets.
-
Experiment with different Power Query functions.
Document ETL Process
Show steps
Solidify your understanding by documenting a complete ETL process in Power BI.
Browse courses on
ETL
Show steps
-
Choose a dataset and define the ETL steps.
-
Record each step of the process with screenshots and explanations.
-
Organize the documentation into a clear and concise guide.
Data Cleaning Exercises
Show steps
Sharpen your data cleaning abilities through targeted exercises.
Browse courses on
Data Cleaning
Show steps
-
Obtain datasets with missing values, inconsistencies, and errors.
-
Use Power Query to clean and standardize the data.
-
Validate the cleaned data for accuracy and completeness.
ETL Project with Public Data
Show steps
Apply your ETL skills to a real-world project using publicly available data.
Browse courses on
ETL
Show steps
-
Identify a public dataset relevant to your interests.
-
Extract data from the source and load it into Power BI.
-
Transform the data using Power Query to prepare it for analysis.
-
Create visualizations and reports based on the transformed data.
Review Basic Data Concepts
Show steps
Reinforce your understanding of fundamental data concepts to better grasp the ETL process in Power BI.
Browse courses on
Data Modeling
Show steps
Show steps
Show steps
- Review definitions of data warehousing, data lakes, and databases.
- Study different data types and their implications for analysis.
- Practice identifying data sources and their characteristics.
Read 'The Data Warehouse Toolkit'
Show steps
Deepen your understanding of data warehousing principles to improve your ETL processes.
View
The Data Warehouse Toolkit: The Definitive...
on Amazon
Show steps
Show steps
Show steps
- Read the chapters on dimensional modeling and schema design.
- Apply the concepts to your Power BI projects.
- Consider how dimensional modeling can improve data integrity.
Read 'Collect, Combine, and Transform Data Using Power Query in Excel and Power BI'
Show steps
Deepen your understanding of Power Query to improve your ETL processes.
View
Collect, Combine, and Transform Data Using...
on Amazon
Show steps
Show steps
Show steps
- Read the chapters on Power Query functions and data transformation.
- Apply the concepts to your Power BI projects.
- Consider how Power Query can improve data integrity.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Follow Power Query Tutorials
Show steps
Enhance your data transformation skills by working through Power Query tutorials.
Browse courses on
Power Query
Show steps
Show steps
Show steps
- Find tutorials on common Power Query transformations.
- Practice applying transformations to sample datasets.
- Experiment with different Power Query functions.
Document ETL Process
Show steps
Solidify your understanding by documenting a complete ETL process in Power BI.
Browse courses on
ETL
Show steps
Show steps
Show steps
- Choose a dataset and define the ETL steps.
- Record each step of the process with screenshots and explanations.
- Organize the documentation into a clear and concise guide.
Data Cleaning Exercises
Show steps
Sharpen your data cleaning abilities through targeted exercises.
Browse courses on
Data Cleaning
Show steps
Show steps
Show steps
- Obtain datasets with missing values, inconsistencies, and errors.
- Use Power Query to clean and standardize the data.
- Validate the cleaned data for accuracy and completeness.
ETL Project with Public Data
Show steps
Apply your ETL skills to a real-world project using publicly available data.
Browse courses on
ETL
Show steps
Show steps
Show steps
- Identify a public dataset relevant to your interests.
- Extract data from the source and load it into Power BI.
- Transform the data using Power Query to prepare it for analysis.
- Create visualizations and reports based on the transformed data.
Career center
Learners who complete Data Extract, Transform, and Load in Power BI will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
A data analyst uses data to help organizations make better decisions. The skills you learn in this course will help you with the essential ability to extract, transform, and load data, a fundamental process for any data analyst. By learning how to configure multiple data sources in Power BI and use Power Query to prepare and clean data you are better positioned to organize and analyze data. This course ensures you can inspect and analyze ingested data, which is a crucial step in ensuring data integrity. A data analyst benefits substantially from the focus of this course.
Business Intelligence Analyst
Business Intelligence Analyst
A business intelligence analyst helps businesses leverage data to understand trends and make strategic decisions. This course will allow you to handle core ETL tasks such as configuring multiple data sources in Power BI and cleaning and transforming data using Power Query. This is essential for a business intelligence analyst. The ability to inspect and analyze ingested data to ensure data integrity, as emphasized by this course, plays a key role in performing quality analysis. A strong understanding of these data processes helps any business intelligence analyst to build reports and dashboards effectively.
Data Engineer
Data Engineer
Data engineers design, build, and maintain the infrastructure that allows data to be used effectively. This course focusing on Extract, Transform, Load helps a data engineer with the handling of different data sources via Power BI and prepare it with Power Query. This is a central task for a data engineer. Knowing how to inspect and analyze ingested data can allow a data engineer to avoid introducing errors. Understanding these ETL principles from a practical perspective allows a data engineer to effectively implement data solutions.
Report Developer
Report Developer
A report developer creates reports that summarize data for a variety of users. Knowing how to extract data from diverse sources and transform it into a usable format using tools like Power Query is a key aspect of report development, and this course covers exactly that. This course teaches how to configure multiple data sources in Power BI, which is very helpful for a report developer who needs to consolidate data from various locations. The focus on data integrity ensures the reports generated by the report developer are accurate and trustworthy.
Database Administrator
Database Administrator
A database administrator manages and maintains databases to ensure data is available and secure. The ability to extract data and load it into a database is a helpful skill for a database administrator. Focusing on data integrity, as in this course, is extremely helpful for a database administrator, who is responsible for managing quality data. This course’s exploration of Power BI, including data source configuration and data cleaning via Power Query, provides a solid foundation when working with databases.
Data Visualization Specialist
Data Visualization Specialist
A data visualization specialist creates visual representations of data to make it easier to understand. A large part of this role involves extracting and preparing data, and this course provides skills in doing so using Power BI. The data visualization specialist must understand how to use Power Query to clean and transform data effectively. The skills learned in this course will be very helpful with the data integrity requirements that enable data visualization specialists to create accurate reports.
Analytics Consultant
Analytics Consultant
An analytics consultant helps clients use data to improve their business operations. This course may be useful because a consultant often needs to extract, transform, and load data from different sources for their analysis. The course provides practice with configuring multiple data sources using Power BI, and cleaning that data with Power Query which are key tasks for an analytics consultant. The focus on inspecting data to ensure integrity is also helpful for a consultant who needs to make reliable recommendations.
Financial Analyst
Financial Analyst
A financial analyst evaluates financial data to advise on investment and business decisions, and that makes this course potentially useful. A financial analyst will often need to bring together data from multiple sources and organize it before analyzing it; this course directly addresses that process. The course covers cleaning and transforming data using Power Query, a process that ensures that the data used by the financial analyst is accurate and ready for analysis. A financial analyst will value the skills to inspect ingested data and maintain data integrity.
Marketing Analyst
Marketing Analyst
A marketing analyst examines market data to understand customer behavior and marketing performance. A marketing analyst may find this course helpful due to the handling of diverse data sources for analysis. This course covers how to configure data sources in Power BI and how to clean data with Power Query, essential skills for a marketing analyst who must prepare data from different platforms. Inspecting ingested data to ensure its integrity is another key step in this role that is supported by this course.
Project Manager
Project Manager
A project manager oversees projects, and often needs to work with data to understand project status. This course may be useful, as project managers are often involved in managing data for analysis. This course covers how to configure data sources in Power BI. The course also addresses how to clean data using Power Query. They will find it very helpful to know how to inspect the data to ensure integrity. A project manager will benefit from gaining data skills from the principles of the Extract, Transform, Load process.
Sales Operations Analyst
Sales Operations Analyst
A sales operations analyst supports the sales team by analyzing sales data and identifying trends. This course may be helpful because a sales operations analyst often handles data from multiple sources. The course provides data extraction, transformation, and loading skills using Power BI which are key for effective data handling in this role. The ability to ensure data integrity via the steps described in this course is an important skill for a sales operations analyst who relies on accurate information.
Operations Analyst
Operations Analyst
An operations analyst works to improve the efficiency of an organization's operations through the analysis of data. This course may be useful as the process of extracting, transforming, and loading data is a common practice in this field. This course's focus on Power BI can help an operations analyst collect and organize data for analysis. The skills gained from cleaning data with Power Query and the focus on data integrity are key for making informed operational decisions.
Quality Assurance Analyst
Quality Assurance Analyst
A quality assurance analyst tests systems and products to make sure they meet quality standards and may find this course useful. Sometimes, a quality assurance analyst needs to examine the data that flows through a system, and this course on ETL in Power BI may be helpful to do that. The ability to inspect and analyze ingested data to ensure integrity, as taught in this course, is beneficial for making sure data quality is maintained. The skills learned here can support the validation of data quality within systems.
Technical Support Specialist
Technical Support Specialist
A technical support specialist helps users with technical issues, and they might benefit from this course. Having some knowledge of data handling may be useful when assisting users with systems that use Power BI for data reporting. This course might help a technical support specialist to assist users with data configuration issues in Power BI. The skills gained in this course may assist them with problem-solving when users struggle with data integrity issues within Power BI.
Sales Analyst
Sales Analyst
A sales analyst examines sales data to improve sales performance and this course may be useful. A sales analyst has to work with sales data that comes from different sources, and the ability to configure multiple data sources in Power BI, as this course teaches, may be very helpful. Sales analysts need to clean and transform the data, which is another skill covered in this course through the use of Power Query. Ensuring data integrity, a specific objective of the course, can ensure a sales analyst can develop more accurate reports.
For more career information including salaries, visit:
OpenCourser.com/course/yksv56/data
Reading list
We've selected two books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Data Extract, Transform, and Load in Power BI.
Provides a comprehensive guide to using Power Query for data extraction, transformation, and loading (ETL) in both Excel and Power BI. It covers a wide range of topics, including connecting to various data sources, cleaning and shaping data, and automating ETL processes. This book is particularly useful for those who want to master Power Query and improve their data analysis skills. It useful reference tool for both beginners and experienced users.
Provides a comprehensive guide to dimensional modeling, a key concept in data warehousing. It is useful for understanding how to structure data for efficient analysis in Power BI. While not directly focused on Power BI, the principles of dimensional modeling are essential for effective ETL and data analysis. This book is commonly used as a textbook in data warehousing courses.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/yksv56/data
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Rating
4.4
Effort
20 hours
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