
KASHEF
UDDIN
Power Query For Data Transformation

COURSE OVERVIEW
Information is all around us. You can put it to use by learning SQL basics. Used in data science, analytics, and engineering, SQL makes it easy to work with data and make more informed strategy, operations, and business decisions. It’s a helpful skill for anyone who works with data (even in non-tech roles). In this SQL course, you’ll learn how to manage large datasets and analyze real data.
Who Will Benefit
- Accounting professionals
- Technology employees
- Leaders and executives
- Technology managers
- Anyone with responsibilities in finance
- Policy administrators
- IT staff
- CPAs interested in the CITP credential
Learning Outcomes
- Use Power Query to solve your data clean-up issues.
- Determine how Power Query allows you to get more data into Excel.
- Apply a one-click step to refresh your data.
WHAT YOU WILL GET AFTER COMPLETION THE SERIES OF WEBINAR
- Recorded Lectures
- Practice Files
- Notes
Key Topics
- File maintenance
- Custom columns
- Un-pivoting a table
Power Query For Data Transformation

Power Query For Data Transformation
COURSE OVERVIEW
Information is all around us. You can put it to use by learning SQL basics. Used in data science, analytics, and engineering, SQL makes it easy to work with data and make more informed strategy, operations, and business decisions. It’s a helpful skill for anyone who works with data (even in non-tech roles). In this SQL course, you’ll learn how to manage large datasets and analyze real data.
Who Will Benefit
- Accounting professionals
- Technology employees
- Leaders and executives
- Technology managers
- Anyone with responsibilities in finance
- Policy administrators
- IT staff
- CPAs interested in the CITP credential
Learning Outcomes
- Use Power Query to solve your data clean-up issues.
- Determine how Power Query allows you to get more data into Excel.
- Apply a one-click step to refresh your data.
WHAT YOU WILL GET AFTER COMPLETION THE SERIES OF WEBINAR
- Recorded Lectures
- Practice Files
- Notes
Key Topics
- File maintenance
- Custom columns
- Un-pivoting a table