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إدارة تقنية المعلومات
20029

Excel and Power BI for Data Analysis and Dashboards

29-03 To 02-04-2026
Muscat

A practical program that starts with clean, well-structured data in Excel, then moves into Power BI for robust data models, DAX measures, and interactive reporting. Participants build reusable ETL workflows with Power Query, design KPI dashboards, and learn publishing, governance, and performance best practices. Labs use realistic datasets and deliver templates that can be applied immediately.

Date :
From 29 Mar. Till 02 Apr. 2026
City :
Muscat
Fees :
4300
Date :
From 29 Mar. Till 02 Apr. 2026
City :
Muscat
Fees :
4300

Overview

Enable professionals to transform raw data into trusted insights by combining Excel’s advanced analysis tools with Power BI’s modeling and interactive dashboards for decision-ready reporting.

A practical program that starts with clean, well-structured data in Excel, then moves into Power BI for robust data models, DAX measures, and interactive reporting. Participants build reusable ETL workflows with Power Query, design KPI dashboards, and learn publishing, governance, and performance best practices. Labs use realistic datasets and deliver templates that can be applied immediately.

Who Should Attend

Target Group

  • Analysts and reporting specialists
  • Finance, operations, and commercial teams building dashboards
  • Project and performance management professionals
  • Anyone responsible for KPI tracking and management reporting
  • Teams transitioning from Excel reports to Power BI dashboards
  • Prepare and clean data efficiently using Excel and Power Query with repeatable steps
  • Build reliable data models and relationships for accurate reporting and drilldowns
  • Create meaningful KPIs and calculations using advanced Excel formulas and DAX
  • Design interactive dashboards that tell a clear business story
  • Apply best practices for refresh, publishing, security, and performance
  • Data preparation and automation using Power Query
  • Advanced Excel analysis and KPI validation
  • Power BI data modeling with relationship discipline
  • DAX measure design for business reporting
  • Dashboard storytelling, publishing, refresh, and governance

Data Foundations and Smart Excel Practices

  • Structuring datasets for analysis: tables, keys, data types, and naming discipline
  • Cleaning and shaping data using Excel tools and Power Query basics
  • Advanced formulas for analysis: XLOOKUP, dynamic arrays, logical and text functions
  • PivotTables and PivotCharts for fast exploration and KPI validation
  • Audit and quality checks: duplicates, missing values, outliers, and error traps
  • Power Query ETL for Excel and Power BI

  • ETL mindset: extract, transform, load with documented steps
  • Connecting to sources: files, folders, web, databases, and multiple tables
  • Transform patterns: merge/append, group by, split, unpivot, and date handling
  • Data quality automation: parameterized queries and refresh-ready design
  • Building a reusable query library for common business datasets
  • Contact Us

    For each learning and development project we establish strong relationships and effective communication with partners.
    Don't hesitate to contact us.