Power Query is Microsoft’s built-in data connectivity and preparation engine inside Excel and Power BI. It lets you pull data from dozens of sources, clean it, and reshape it without writing complicated formulas. kodestree’s Power Query course walks you through the Query Editor, the M formula language, and real transformation workflows, so you leave able to turn raw, messy spreadsheets into analysis-ready tables for reports and dashboards.
Prerequisites
You don’t need a technical background to start this course, though the following will help you move faster:
- Basic working knowledge of Microsoft Excel (worksheets, rows, columns)
- Comfort with everyday computer tasks such as file handling and copy-paste
- A general understanding of data types such as text, numbers, and dates
- No prior coding, scripting, or programming experience is required
- Familiarity with pivot tables or basic database concepts is a bonus, not a requirement
Why Learn Power Query?
Most business teams still lose hours every week copy-pasting, reformatting, and fixing spreadsheets by hand. Power Query removes that grind. It records every cleaning step you perform once and replays it automatically the next time new data arrives, which is why it has become one of the most in-demand skills inside Excel and Power BI job postings today.
With Microsoft actively expanding Power Query into Fabric dataflows and cloud-based data pipelines, the skill is no longer limited to spreadsheet users. Data analysts, finance teams, operations managers, and BI developers now rely on it to standardize how data moves from raw source to finished report.
- Cuts manual data cleaning time from hours to minutes
- Works natively inside Excel, Power BI, and Microsoft Fabric
- No coding background needed to get started, yet scales into the M language for advanced users
- One of the fastest-growing skills listed in Data Analyst and BI job descriptions
- Directly supports certifications such as the Microsoft PL-300 Power BI Data Analyst exam
Course Objectives
By the end of this training, you will be able to:
- Import data confidently from Excel, CSV, databases, and web sources
- Clean and standardize inconsistent, duplicate, or error-filled data
- Automate repetitive data preparation tasks using reusable query steps
- Merge and append data pulled from multiple tables or files
- Apply shaping techniques such as splitting columns, pivoting, and changing data types
- Load transformed, analysis-ready data into Excel or Power BI
- Build dynamic, repeatable data workflows using parameters and basic M code
What You Will Learn
This course takes you from your first query to advanced automation, covering:
- The Power Query Editor interface and how ETL (Extract, Transform, Load) works
- Connecting to Excel, CSV/text files, SQL databases, folders, and web pages
- Removing duplicates, fixing errors, and correcting data types
- Merging, appending, and combining data from multiple sources
- Grouping, aggregating, pivoting, and unpivoting tables
- Writing and editing formulas using the Power Query M language
- Using parameters and conditional logic to build dynamic queries
- Refreshing, scheduling, and managing queries inside Excel and Power BI
Who Is this Course For?
This Power Query training is built for professionals who work with data every day, including:
- Data analysts who want to automate data cleaning and transformation
- Excel users handling large or multiple data sources
- Business and finance professionals preparing reports and dashboards
- Power BI users looking to strengthen their data preparation layer
- Operations, MIS, and reporting teams managing recurring data workflows
- Anyone preparing for the Microsoft PL-300 Power BI Data Analyst exam
Tools You Will Work With
- Power Query in Excel
- Power Query in Power BI Desktop
- Power Query Editor and Advanced Editor (M code view)
- Microsoft Excel (tables, formulas, and PivotTables)
- Sample CSV, Excel, and database data sources
- Power Query Online / dataflows (introductory exposure)
Skills You Will Gain
You’ll graduate from this course with practical, job-ready skills, including:
- Data extraction and connectivity across multiple source types
- Data cleaning, standardization, and error handling
- Data shaping techniques, including merge, append, pivot, and unpivot
- Workflow automation using reusable, refreshable queries
- Working knowledge of the Power Query M formula language
- Building parameter-driven, dynamic data pipelines
Career Outcomes
Power Query skills open doors across data-facing roles, such as:
- Data Analyst
- Business Analyst
- Power BI Developer
- Excel / Reporting Specialist
- ETL or Data Transformation Specialist
- Financial Analyst or Operations Analyst
Why Choose kodestree for This Training?
kodestree has trained working professionals across BI and data analytics tools for years, and this course is built on that same practical foundation:
- Curriculum designed by practitioners with real BI and data analytics experience
- Live, instructor-led sessions with 1-on-1 training options available
- Small batch sizes that keep sessions interactive and doubt-friendly
- 24×7 lifetime support and access to session recordings
- Flexible weekday, weekend, and fast-track batch schedules
- Course Completion Certificate and career assistance after training
