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Arimoro Olayinka Imisioluwa
Usually, tidy data is a mirage in a real-world setting. Additionally, before quality analysis can be done, data need to be in a proper format. This project-based course, "Prepare, Clean, Transform, and Load Data using Power BI" is for beginner and intermediate Power BI users willing to advance their knowledge and skills.
Read more
Usually, tidy data is a mirage in a real-world setting. Additionally, before quality analysis can be done, data need to be in a proper format. This project-based course, "Prepare, Clean, Transform, and Load Data using Power BI" is for beginner and intermediate Power BI users willing to advance their knowledge and skills.
Read more
Usually, tidy data is a mirage in a real-world setting. Additionally, before quality analysis can be done, data need to be in a proper format. This project-based course, "Prepare, Clean, Transform, and Load Data using Power BI" is for beginner and intermediate Power BI users willing to advance their knowledge and skills.
In this course, you will learn practical ways for data cleaning and transformation using Power BI. We will talk about different data cleaning and transformation tasks like splitting, renaming, adding, removing columns. By the end of this 2-hour-long project, you will change data types, merge and append data sets. By extension, you will learn how to import data from the web and unpivot data.
This project-based course is a beginner to an intermediate-level course in Power BI. Therefore, to get the most of this project, it is essential to have a basic understanding of using a computer before you take this project.
Register for this course and see more details by visiting:
OpenCourser.com/course/p09ezs/prepare
What's inside
Syllabus
Project Overview
Usually, tidy data is a mirage in a real-world setting. Additionally, before quality analysis can be done, data need to be in a proper format. This project-based course, "Prepare, Clean, Transform, and Load Data using Power BI" is for beginner and intermediate Power BI users willing to advance their knowledge and skills.
In this course, you will learn practical ways for data cleaning and transformation using Power BI. We will talk about different data cleaning and transformation tasks like splitting, renaming, adding, removing columns. By the end of this 2-hour-long project, you will change data types, merge and append data sets. By extension, you will learn how to import data from the web and unpivot data.
This project-based course is a beginner to an intermediate-level course in Power BI. Therefore, to get the most of this project, it is essential to have a basic understanding of using a computer before you take this project.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops data cleaning and transformation skills for beginners and intermediates in Power BI, supporting hands-on learning
Teaches methods to prepare, clean, and transform data for analysis using Power BI, enhancing data management capabilities
Covers a range of data cleaning and transformation tasks such as splitting, renaming, and merging data sets, providing comprehensive coverage
Enhances understanding of data management processes and best practices, supporting effective data analysis
Taught by recognized instructors in the field, ensuring the course is up-to-date and industry-relevant
Requires basic computer skills to navigate the course effectively, limiting accessibility for complete beginners
Save this course
Save Prepare, Clean, Transform, and Load Data using Power BI to your list so you can find it easily later:
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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 Prepare, Clean, Transform, and Load Data using Power BI with these
activities:
Review data cleaning and preparation concepts
Show steps
Ensures students have a solid foundation before starting the course.
Browse courses on
Data Cleaning
Show steps
-
Review the fundamental principles of data cleaning and preparation
-
Identify common data quality issues and techniques to address them
Connect with experts in data transformation
Show steps
Establishes a network of professionals who can provide guidance and support throughout the learning journey.
Show steps
-
Identify potential mentors in the field
-
Reach out and introduce yourself
-
Set up regular meetings or calls to receive feedback and advice
Organize and review course resources
Show steps
Keeps learners organized and focused on the relevant materials.
Show steps
-
Create a dedicated folder or notebook for course materials
-
Gather and organize notes, slides, and other resources from the course
Four other activities
Expand to see all activities and additional details
Show all seven activities
Review 'The Data Warehouse Toolkit'
Show steps
Provides foundational knowledge of the principles and techniques involved in data preparation and transformation, even in more complex scenarios.
View
The Data Warehouse Toolkit
on Amazon
Show steps
-
Read the Introduction and Chapter 1
-
Summarize the key points in your own words
-
Complete the exercises at the end of each chapter
Solve data transformation problems
Show steps
Reinforces the concepts and techniques covered in the course through practical application.
Browse courses on
Power BI
Show steps
-
Identify a data source with complex or messy data
-
Use Power BI to transform the data using the techniques learned
-
Evaluate the results and make adjustments as needed
Participate in peer-to-peer learning sessions
Show steps
Fosters collaboration and knowledge sharing among fellow learners.
Show steps
-
Find or create a study group with other students
-
Meet regularly to discuss course material, share insights, and work on projects
Follow online tutorials on Power BI data transformation
Show steps
Provides additional instruction and examples to supplement the course material.
Browse courses on
Power BI
Show steps
-
Search for online tutorials on Power BI data transformation
-
Select reputable sources and tutorials that align with the course objectives
-
Follow the tutorials and complete the exercises
Review data cleaning and preparation concepts
Show steps
Ensures students have a solid foundation before starting the course.
Browse courses on
Data Cleaning
Show steps
Show steps
Show steps
- Review the fundamental principles of data cleaning and preparation
- Identify common data quality issues and techniques to address them
Connect with experts in data transformation
Show steps
Establishes a network of professionals who can provide guidance and support throughout the learning journey.
Show steps
Show steps
Show steps
- Identify potential mentors in the field
- Reach out and introduce yourself
- Set up regular meetings or calls to receive feedback and advice
Organize and review course resources
Show steps
Keeps learners organized and focused on the relevant materials.
Show steps
Show steps
Show steps
- Create a dedicated folder or notebook for course materials
- Gather and organize notes, slides, and other resources from the course
Four other activities
Expand to see all activities and additional details
Show all seven activities
Review 'The Data Warehouse Toolkit'
Show steps
Provides foundational knowledge of the principles and techniques involved in data preparation and transformation, even in more complex scenarios.
View
The Data Warehouse Toolkit
on Amazon
Show steps
Show steps
Show steps
- Read the Introduction and Chapter 1
- Summarize the key points in your own words
- Complete the exercises at the end of each chapter
Solve data transformation problems
Show steps
Reinforces the concepts and techniques covered in the course through practical application.
Browse courses on
Power BI
Show steps
Show steps
Show steps
- Identify a data source with complex or messy data
- Use Power BI to transform the data using the techniques learned
- Evaluate the results and make adjustments as needed
Participate in peer-to-peer learning sessions
Show steps
Fosters collaboration and knowledge sharing among fellow learners.
Show steps
Show steps
Show steps
- Find or create a study group with other students
- Meet regularly to discuss course material, share insights, and work on projects
Follow online tutorials on Power BI data transformation
Show steps
Provides additional instruction and examples to supplement the course material.
Browse courses on
Power BI
Show steps
Show steps
Show steps
- Search for online tutorials on Power BI data transformation
- Select reputable sources and tutorials that align with the course objectives
- Follow the tutorials and complete the exercises
Career center
Learners who complete Prepare, Clean, Transform, and Load Data using Power BI will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts play a pivotal role in the data-driven economy by transforming raw data into actionable insights. This course, "Prepare, Clean, Transform, and Load Data using Power BI," provides a solid foundation for aspiring Data Analysts by equipping them with the skills to effectively clean and prepare data for analysis. The course covers essential techniques for data cleaning, transformation, and data loading, which are crucial in ensuring the accuracy and reliability of data analysis.
Data Engineer
Data Engineer
Data Engineers play a critical role in building and maintaining the infrastructure for data storage and processing. This course aligns with the responsibilities of a Data Engineer by providing a comprehensive understanding of data cleaning, transformation, and data loading techniques using Power BI. The course covers practical methods for data type conversion, merging and appending datasets, and importing data from various sources, which are essential skills for Data Engineers to manage and prepare data for analysis and modeling.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts leverage data to gain insights into business operations and performance. This course, "Prepare, Clean, Transform, and Load Data using Power BI," provides a valuable foundation for aspiring Business Intelligence Analysts by equipping them with the skills to prepare and analyze data effectively. The course covers techniques for data cleaning, transformation, and data loading, which are crucial for ensuring the accuracy and completeness of data used for decision-making.
Data Scientist
Data Scientist
Data Scientists use advanced statistical and computational techniques to extract insights from data. This course, "Prepare, Clean, Transform, and Load Data using Power BI," may be useful for aspiring Data Scientists by providing a foundation in data cleaning and preparation. The course covers techniques for data type conversion, merging and appending datasets, and importing data from various sources, which are essential for Data Scientists to prepare data for analysis and modeling.
Database Administrator
Database Administrator
Database Administrators are responsible for managing and maintaining databases. This course, "Prepare, Clean, Transform, and Load Data using Power BI," may be useful for aspiring Database Administrators by providing a foundation in data cleaning and transformation. The course covers techniques for data type conversion, merging and appending datasets, and importing data from various sources, which are essential for Database Administrators to ensure the integrity and accuracy of data in databases.
Data Architect
Data Architect
Data Architects design and implement data management solutions. This course, "Prepare, Clean, Transform, and Load Data using Power BI," may be useful for aspiring Data Architects by providing a foundation in data cleaning and preparation. The course covers techniques for data type conversion, merging and appending datasets, and importing data from various sources, which are essential for Data Architects to design data management solutions that meet business requirements.
Enterprise Architect
Enterprise Architect
Enterprise Architects design and implement IT solutions for organizations. This course, "Prepare, Clean, Transform, and Load Data using Power BI," may be useful for aspiring Enterprise Architects by providing a foundation in data cleaning and preparation. The course covers techniques for data type conversion, merging and appending datasets, and importing data from various sources, which are essential for Enterprise Architects to design IT solutions that meet business requirements.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. This course, "Prepare, Clean, Transform, and Load Data using Power BI," may be useful for aspiring Software Engineers by providing a foundation in data cleaning and preparation. The course covers techniques for data type conversion, merging and appending datasets, and importing data from various sources, which are essential for Software Engineers to develop data-driven applications.
Information Technology Manager
Information Technology Manager
Information Technology Managers plan and direct IT operations within an organization. This course, "Prepare, Clean, Transform, and Load Data using Power BI," may be useful for aspiring Information Technology Managers by providing a foundation in data cleaning and preparation. The course covers techniques for data type conversion, merging and appending datasets, and importing data from various sources, which are essential for Information Technology Managers to make informed decisions.
Project Manager
Project Manager
Project Managers plan, execute, and deliver projects. This course, "Prepare, Clean, Transform, and Load Data using Power BI," may be useful for aspiring Project Managers by providing a foundation in data cleaning and preparation. The course covers techniques for data type conversion, merging and appending datasets, and importing data from various sources, which are essential for Project Managers to make informed decisions.
Data Governance Analyst
Data Governance Analyst
Data Governance Analysts establish and enforce policies and procedures for data management. This course, "Prepare, Clean, Transform, and Load Data using Power BI," may be useful for aspiring Data Governance Analysts by providing a foundation in data cleaning and preparation. The course covers techniques for data type conversion, merging and appending datasets, and importing data from various sources, which are essential for Data Governance Analysts to ensure the accuracy and consistency of data.
Data Privacy Analyst
Data Privacy Analyst
Data Privacy Analysts ensure that data is collected and used in a compliant and ethical manner. This course, "Prepare, Clean, Transform, and Load Data using Power BI," may be useful for aspiring Data Privacy Analysts by providing a foundation in data cleaning and preparation. The course covers techniques for data type conversion, merging and appending datasets, and importing data from various sources, which are essential for Data Privacy Analysts to protect data privacy and comply with regulations.
Security Analyst
Security Analyst
Security Analysts identify and mitigate security risks to an organization's data and systems. This course, "Prepare, Clean, Transform, and Load Data using Power BI," may be useful for aspiring Security Analysts by providing a foundation in data cleaning and preparation. The course covers techniques for data type conversion, merging and appending datasets, and importing data from various sources, which are essential for Security Analysts to analyze security data and identify threats.
Risk Analyst
Risk Analyst
Risk Analysts identify and assess risks to an organization's operations and finances. This course, "Prepare, Clean, Transform, and Load Data using Power BI," may be useful for aspiring Risk Analysts by providing a foundation in data cleaning and preparation. The course covers techniques for data type conversion, merging and appending datasets, and importing data from various sources, which are essential for Risk Analysts to analyze data and identify potential risks.
Auditor
Auditor
Auditors examine and evaluate financial and operational information to ensure accuracy and compliance. This course, "Prepare, Clean, Transform, and Load Data using Power BI," may be useful for aspiring Auditors by providing a foundation in data cleaning and preparation. The course covers techniques for data type conversion, merging and appending datasets, and importing data from various sources, which are essential for Auditors to analyze data and ensure the accuracy of financial and operational information.
For more career information including salaries, visit:
OpenCourser.com/course/p09ezs/prepare
Reading list
We've selected seven 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
Prepare, Clean, Transform, and Load Data using Power BI.
Provides in-depth coverage of data modeling in Power BI. It valuable resource for anyone who wants to learn more about how to design and implement effective data models.
Save
Provides advanced techniques for data analysis using Power BI. It covers a wide range of topics, including data mining, machine learning, and artificial intelligence.
Classic in the field of data warehousing. It provides a comprehensive overview of dimensional modeling, which is the foundation for data cleaning and transformation.
Save
Provides a comprehensive overview of data visualization using Power BI. It covers a wide range of topics, including chart types, design principles, and best practices.
Provides a comprehensive overview of data science, including data cleaning, transformation, and analysis. It valuable resource for anyone who wants to learn more about the field.
Beginner-friendly guide to data analysis. It covers the basics of data analysis, as well as providing real-world examples and case studies.
Quick-start guide to Power BI. It provides a concise overview of the software, including how to get started, how to create reports and dashboards, and how to share your work.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/p09ezs/prepare
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Effort
2 hours
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Arimoro Olayinka Imisioluwa
Language
English
Good to know
Develops data cleaning and transformation skills for beginners and intermediates in Power BI, supporting hands-on learning
Teaches methods to prepare, clean, and transform data for analysis using Power BI, enhancing data management capabilities
Covers a range of data cleaning and transformation tasks such as splitting, renaming, and merging data sets, providing comprehensive coverage
Enhances understanding of data management processes and best practices, supporting effective data analysis
Taught by recognized instructors in the field, ensuring the course is up-to-date and industry-relevant
Requires basic computer skills to navigate the course effectively, limiting accessibility for complete beginners
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