Power Query Training in Riyadh, Jeddah, Saudi Arabia, Dubai, UAE

Learn how to handle data effectively using Power Query, an essential tool for contemporary data professionals. The fundamentals of data extraction and transformation are covered in this course, which also teaches you how to combine data from various sources. You’ll discover standard methods for preparing datasets for analysis by cleaning and reorganizing them. Gaining proficiency in these areas will enable you to automate and streamline laborious data preparation

Key Learnings.
After completing this course, learners will be able to:
Understand & navigate Power Query for data transformation
Import, clean, and merge data from multiple sources
Automate data preparation and transformations
Apply advanced M language functions
Integrate Power Query with Power BI & Excel for reporting
Work on real-world data projects

Module 1: Introduction to Power Query

What is Power Query?
Power Query vs. Excel Functions & VBA
Installing & Accessing Power Query in Excel & Power BI
Power Query Interface & Navigation
Understanding the ETL (Extract, Transform, Load) Process

Module 2: Connecting & Importing Data

Importing Data from Multiple Sources (Excel, CSV, SQL, Web, APIs, SharePoint, etc.)
Connecting to Live Databases & Cloud Sources
Understanding Different Data Types
Query Dependencies & Refreshing Data

Module 3: Data Cleaning & Basic Transformations

Removing Duplicates & Handling Missing Values
Renaming, Removing, and Reordering Columns
Text Functions (Split, Merge, Extract)
Number & Date Functions
Changing Data Types & Formatting

Module 4: Advanced Data Transformations

Conditional Columns & Custom Columns
Pivoting & Unpivoting Data
Merging & Appending Queries
Creating Parameters & Dynamic Queries
Grouping Data & Data Aggregation

Module 5: Introduction to M Language & Custom Functions

What is M Language?
Writing Custom Functions in Power Query
Using IF, SWITCH, and Nested Conditional Logic
Understanding Query Folding & Performance Optimization

Module 6: Advanced Power Query Techniques

Advanced Filtering & Sorting Techniques
Using Regular Expressions (RegEx) in Power Query
Automating Complex Data Transformations
Error Handling & Debugging Queries

Module 7: Integrating Power Query with Power BI & Excel

Loading & Refreshing Data Models
Creating Relationships in Power BI with Power Query
Automating Data Updates & Scheduled Refresh
Working with Large Datasets & Performance Optimization

Module 8: Power Query for Business Intelligence & Reporting

Building Dashboards with Cleaned Data
Creating Custom Data Models in Power BI
Using Power Query for Financial & Sales Analysis
Connecting Power Query with Power Pivot & Power Automate

Module 9: Real-World Projects & Case Studies

Data Cleaning & Preparation for Financial Reports
Combining Data from Multiple Workbooks for Analysis
Automating Data Transformation & Reporting
Handling Large Data Sets Efficiently

Module 10: Best Practices & Industry Applications

Common Mistakes & How to Avoid Them
Best Practices for Query Performance
Security & Data Privacy Considerations
Real-World Use Cases in Finance, Marketing, and Operations

Prerequisites

Basic understanding of Excel (Formulas, Tables, Pivot Tables)
No prior coding knowledge is required

Who is This Course For?

This Power Query course is designed for:

Beginners & Professionals – Anyone looking to automate data transformation without coding.
Data Analysts & Business Intelligence Professionals – Those who work with large datasets and need efficient data cleaning & modeling.
Finance & Accounting Professionals – Individuals dealing with financial reports, reconciliations, and data consolidation.
Excel Users & Power BI Enthusiasts – Users who want to enhance their data preparation workflow.
Marketing & Sales Analysts – Professionals who must clean and analyze customer data for reporting.
Students & Job Seekers – Anyone looking to improve their data handling skills for career growth.

International Student Fees: USD 250$

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