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Training Program on Excel Business Intelligence: Power Query

Training Program on Excel Business Intelligence: Power Query

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Overview

Course Outline

Overview
Why Attend

This course offers Excel Business Intelligence: Power Query course. This specialized course aims to equip participants with the skills and knowledge needed to use Power Query in Excel to achieve business intelligence goals. Power Query is a powerful tool for transforming and analyzing data in an efficient and fast way, making it an ideal tool for handling large datasets and turning them into valuable insights.

The course aims to train participants on how to effectively use Power Query to extract, clean, and transform data in a way that contributes to improving decision-making processes in organizations. The course also focuses on enabling trainees to connect diverse datasets and convert them into easily analyzable formats using Power Query's advanced tools in Excel.

Course Objectives

By the end of the course, participants will be able to:

Who Should Attend?

  • Financial analysts and business analysts who need to work with data accurately and efficiently.
  • Data managers and supervisors of business intelligence teams in organizations.
  • Individuals working in data analysis who use Excel for reporting and data analysis.
  • Employees of information management teams dealing with large and diverse datasets.
  • Professionals in marketing, operations, and human resources who rely on data for strategic decision-making.
  • Professionals seeking to develop their skills in using Power Query to improve their ability to manage and analyze data.

 

Knowledge and Benefits:

After completing the program, participants will be able to master the following:

  • Enable participants to use Power Query for effective data transformation and cleaning.
  • Equip participants with the ability to connect and analyze data from multiple sources using Power Query.
  • Introduce participants to advanced Power Query tools and techniques to enhance workflows and achieve high efficiency.
  • Strengthen participants' skills in using Power Query to implement business intelligence solutions integrated with Excel.
  • Teach participants how to apply strategies to simplify complex processes and improve analytical accuracy.
  • Enable participants to analyze data faster and more accurately, providing data-supported reports to contribute to better decision-making.
  • Train participants on how to improve and customize data to enhance organizational performance and facilitate business decision-making.
Course Outline
  • Basic Concepts of Power Query in Excel
    • Defining Power Query and its importance in business intelligence.
    • How to access Power Query in Excel.
    • Power Query interface components and their main functions.
  • Handling Various Data Sources
    • Importing data from multiple sources (Excel files, databases, the internet, etc.).
    • Navigating through different types of data and available sources.
    • Exporting data from Power Query to Excel.
  • Data Cleaning Basics
    • How to examine and clean data using Power Query tools.
    • Removing unnecessary data and duplicates.
    • Handling missing and corrupted data.
  • Transforming Data Using Power Query
    • Converting different types and formats of data.
    • Using available tools to modify dimensions and measures.
    • Making basic adjustments to improve data accuracy.
  • Adding Advanced Columns and Filtering
    • Adding derived columns using formulas and commands.
    • Filtering data using advanced conditions.
    • Applying innovative filtering and sorting techniques.
  • Merging and Joining Tables
    • Techniques for joining different tables via queries.
    • Using inner and outer joins to combine data from different sources.
    • Handling related tables and multiple datasets.
  • Handling Large and Complex Data
    • How to handle large data more efficiently.
    • Tools for analyzing large data sets using Power Query.
    • Strategies for dealing with multidimensional data.
  • Analysis Using Advanced Filtering Tools
    • Using advanced filters to sort data.
    • Applying advanced classifications and aggregations to data.
    • Analysis strategies using dynamic filters.
  • Using Advanced Formulas in Power Query
    • Adding formulas to calculate complex data.
    • Applying mathematical and statistical operations within Power Query.
    • Using logical expressions and specific functions for filtering and transformation.
  • Customizing Reports Using Power Query
    • Methods for customizing data and converting it into an appropriate format for display.
    • Enhancing reports using advanced tools.
    • Adding graphics and charts directly within Power Query.
  • Power Query Integration Strategies with Excel
    • Integrating Power Query with Excel's core functions such as PivotTables and Charts.
    • Automatically updating data when changes occur in the source tables.
    • Automating report and data updates in Excel.
  • Interactive Reports Using Power Query
    • How to design interactive reports using Power Query.
    • Using interactive filtering options within Power Query.
    • Strategies for sharing reports with different teams.
  • Filtering with Custom Expressions
    • How to use Power Query to filter data using complex conditions.
    • Applying conditional filtering functions and advanced analysis.
    • Managing advanced filtering through multiple queries.
  • Data Sorting and Dynamic Analysis
    • Methods for sorting data using Power Query.
    • Improving data analysis using advanced sorting techniques.
    • Using dynamic analysis methods for instant insights.
  • Filtering Data for Key Performance Indicators (KPIs)
    • Using Power Query tools to filter data based on KPI criteria.
    • Merging extracted data with business performance analysis.
    • Strategies for improving business decisions based on KPIs.
  • Managing Data from Multiple Sources
    • Techniques for merging data from various sources and systems.
    • Processing data through complex queries.
    • Techniques for combining and analyzing data from heterogeneous sources.
  • Transforming Data with Advanced Calculations
    • Using advanced calculations to restructure data.
    • Applying mathematical and analytical functions to data.
    • Optimizing Power Query queries for further customization.
  • Creating a Unified Report from Multiple Data Tables
    • How to combine data from multiple tables into a unified report.
    • Techniques for merging and transforming data to create complete reports.
    • Strategies for managing data across multiple tables.
  • Data Analysis with Power Query
    • How to use Power Query to analyze large and complex data.
    • Strategies for customizing queries to get precise insights.
    • Merging data with business intelligence tools such as Power BI.
  • Creating Business Intelligence Reports Using Power Query
    • Creating professional and accurate reports using Power Query.
    • Using filters and aggregations to get comprehensive insights.
    • Creating interactive reports for real-time data analysis.
  • Using Power Query in Smart Work Strategies
    • Applying Power Query in strategic planning and future analysis.
    • How to integrate Power Query with other business intelligence tools.
    • Identifying effective working methods to support decision-making.
  • Optimizing Power Query Queries for Faster Performance
    • Techniques for optimizing performance in Power Query.
    • Effective filtering strategies for data.
    • Using various queries to increase speed and accuracy.
  • Customizing Power Query for Business Needs
    • Customizing tools and techniques within Power Query to align with business needs.
    • Using macros in Power Query to increase efficiency.
    • Setting up the ideal work environment for query customization.
  • Predictive Analysis Using Power Query
    • Applying predictive analysis in Power Query to improve performance.
    • How to conduct scenario analysis using available data.
    • Setting up forecasting and future analysis strategies based on available data.
Schedule & Fees
2026 Schedule & Fees
USD 3,300
Per participant
  • 27 Sep - 1 Oct, 2026
  • English
USD 3,300
Per participant
  • 27 Sep - 1 Oct, 2026
  • Arabic
USD 3,300
Per participant
  • 6 - 10 Dec, 2026
  • English
USD 3,300
Per participant
  • 6 - 10 Dec, 2026
  • Arabic
USD 3,300
Per participant
  • 27 - 31 Dec, 2026
  • English
USD 3,300
Per participant
  • 27 - 31 Dec, 2026
  • Arabic
2027 Schedule & Fees
USD 3,300
Per participant
  • 7 - 11 Mar, 2027
  • English
USD 3,300
Per participant
  • 7 - 11 Mar, 2027
  • Arabic
USD 3,300
Per participant
  • 28 Mar - 1 Apr, 2027
  • English
USD 3,300
Per participant
  • 28 Mar - 1 Apr, 2027
  • Arabic
USD 3,300
Per participant
  • 6 - 10 Jun, 2027
  • English
USD 3,300
Per participant
  • 6 - 10 Jun, 2027
  • Arabic
USD 3,300
Per participant
  • 27 Jun - 1 Jul, 2027
  • English
USD 3,300
Per participant
  • 27 Jun - 1 Jul, 2027
  • Arabic
USD 3,300
Per participant
  • 5 - 9 Sep, 2027
  • English
USD 3,300
Per participant
  • 5 - 9 Sep, 2027
  • Arabic
USD 3,300
Per participant
  • 26 - 30 Sep, 2027
  • English
USD 3,300
Per participant
  • 26 - 30 Sep, 2027
  • Arabic
USD 3,300
Per participant
  • 5 - 9 Dec, 2027
  • English
USD 3,300
Per participant
  • 5 - 9 Dec, 2027
  • Arabic
USD 3,300
Per participant
  • 26 - 30 Dec, 2027
  • English
USD 3,300
Per participant
  • 26 - 30 Dec, 2027
  • Arabic

Dates & fees

27 Sep - 1 Oct, 2026
USD 3,300
27 Sep - 1 Oct, 2026
USD 3,300
6 - 10 Dec, 2026
USD 3,300
6 - 10 Dec, 2026
USD 3,300
27 - 31 Dec, 2026
USD 3,300
27 - 31 Dec, 2026
USD 3,300
7 - 11 Mar, 2027
USD 3,300
7 - 11 Mar, 2027
USD 3,300
28 Mar - 1 Apr, 2027
USD 3,300
28 Mar - 1 Apr, 2027
USD 3,300
6 - 10 Jun, 2027
USD 3,300
6 - 10 Jun, 2027
USD 3,300
27 Jun - 1 Jul, 2027
USD 3,300
27 Jun - 1 Jul, 2027
USD 3,300
5 - 9 Sep, 2027
USD 3,300
5 - 9 Sep, 2027
USD 3,300
26 - 30 Sep, 2027
USD 3,300
26 - 30 Sep, 2027
USD 3,300
5 - 9 Dec, 2027
USD 3,300
5 - 9 Dec, 2027
USD 3,300
26 - 30 Dec, 2027
USD 3,300
26 - 30 Dec, 2027
USD 3,300

Fees + VAT as applicable

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