You will learn how to import, clean, transform, combine, and automate data from multiple sources using Microsoft Power Query. The course covers data extraction, data transformation, data cleansing, query editing, merging and appending tables, data shaping, Power Query Editor, M language basics, and integration with Excel and Power BI for business intelligence.
The course provides hands-on experience in preparing business data, removing duplicates, handling missing values, combining multiple data sources, automating repetitive data preparation tasks, and creating clean datasets for reporting and analytics.
You will gain expertise in data import, data transformation, query editing, table merging, appending queries, filtering, sorting, pivoting, unpivoting, custom columns, M language basics, automation, and Power Query integration with Excel and Power BI.
You will work on practical projects involving sales data consolidation, financial reporting, inventory data cleaning, customer analytics, HR reporting, and automated business reporting using Microsoft Power Query.
This course prepares you for roles such as Data Analyst, Business Intelligence Analyst, MIS Executive, Reporting Analyst, Business Analyst, Financial Analyst, Data Reporting Specialist, Power BI Developer, Excel BI Developer, and Analytics Consultant.
Project 1
Import and combine sales data from multiple Excel files, clean inconsistent records, and generate a unified reporting dataset.
Project 2
Prepare financial reports by cleaning transaction records, merging accounting data, automating calculations, and producing analysis-ready datasets.
Project 3
Transform inventory data from multiple warehouses, standardize product information, and automate inventory reporting.
Project 4
Clean customer records, remove duplicates, merge CRM data, and prepare datasets for customer segmentation and business analysis.
Project 5
Build an automated Power Query solution that imports, transforms, validates, and refreshes business data for Excel dashboards and Power BI reports.
Edubrights offers Microsoft Power Query Training in virtual mode with expert trainers. Here are the key features,
40 Hours Course Duration
100% Job Oriented Training
Industry Expert Faculties
Free Demo Class Available
Completed 500+ Batches
Certification Guidance
Module 1: Introduction to Power Query
Module 2: Connecting to Data Sources
Module 3: Data Transformation Essentials
Module 4: Data Shaping and Structuring
Module 5: Advanced Transformations
Module 6: Query Optimization Techniques
Module 7: Automating and Refreshing Data
Module 8: Integrating Power Query with Excel and Power BI
Module 9: Error Handling and Debugging
Module 10: Hands-on Projects and Certification Preparation
Experience in the Industry Gain knowledge from experts with practical Microsoft Power Query project experience in a variety of sectors.
Backgrounds at the Top Prominent corporations such as hcl, tcs , accenture and cognizant employ trainers.
Clear & Effective Teaching Excellent communication and real-world examples simplify complex subjects.
Hands-On Learning Focus Students can apply their abilities in real-world situations with the use of case studies and real-time projects.
Up-to-Date Knowledge Trainers stay current with the latest tools, techniques and best practices.
Our certification validates your expertise in using Power Query for ETL and data preparation tasks, preparing you for roles involving data analysis and business intelligence.

A data connection technology for ETL processes within Excel and Power BI.
Data analysts, BI professionals, and Excel users.
Excel, CSV, databases, web sources, and more.
Yes, with built-in transformation tools.
Yes, with scheduled refresh and query folding.
Basic understanding for custom transformations.
Yes, fully integrated.
Yes, for robust query creation.
Yes, including merging, appending, and pivoting.
Yes, with sample tests and tips.
"Transform your life through Education, hear it from our Alumni"

6 LPA
Student
Software Engineer
"Transform your life through Education, hear it from our Alumni"

8 LPA
Student
Data Scientist
"Transform your life through Education, hear it from our Alumni"

8 LPA
NIELSON IQ
Data Analyst
825 Ratings
Master data extraction, transformation, cleaning, automation, and business data preparation with Edubrights’ Microsoft Power Query training in Chennai. This course is designed for students, freshers, data analysts, MIS executives, business analysts, finance professionals, accountants, BI developers, and working professionals who want to automate data preparation and build efficient reporting workflows using Microsoft Power Query.
Gain hands-on experience with importing data from multiple sources, data transformation, merging and appending queries, M language fundamentals, automation, and real-world business intelligence projects through practical industry use cases.
✅ Real-Time Data Preparation Projects & Business Intelligence Use Cases
✅ Live Instructor-Led Training by Experienced Microsoft Data Analytics Experts
✅ Hands-On Practice with Microsoft Power Query
✅ Power Query Fundamentals & ETL (Extract, Transform, Load) Concepts
✅ Data Import from Excel, CSV, SQL Server, Web APIs & Cloud Data Sources
✅ Data Cleaning, Filtering, Sorting & Transformation Techniques
✅ Merge Queries, Append Queries & Relationship Management
✅ Data Shaping, Pivoting, Unpivoting & Advanced Transformations
✅ M Language Fundamentals & Query Customization
✅ Automated Data Refresh, Workflow Optimization & Best Practices
✅ Data Validation, Error Handling & Performance Optimization
✅ Integration with Microsoft Excel, Power BI, Power Pivot, SQL Server, SharePoint, Microsoft 365 & Azure Data Services
✅ Resume Building, Portfolio Development & Mock Interview Preparation
✅ Career Guidance, Placement Assistance & Microsoft Data Analytics Training Support
✅ Flexible Online, Classroom & Weekend Training Options
✅ Corporate Training for Business Intelligence, Finance, MIS, Analytics & Enterprise Teams
Build practical Microsoft Power Query expertise, automate data preparation workflows, transform raw data into business-ready insights, improve reporting efficiency, and become industry-ready for careers in Data Analysis, Business Intelligence, MIS Reporting, Financial Analysis, Data Engineering, and Business Analytics.
2+
20+
100%
Yes
Lifetime
Yes
All
All