Power Business Intelligence (Bi)
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By the end of this training course, trainees will be able to :

- Develop the skills to import, clean, and transform data from various sources to create a usable dataset for analysis.

- Create effective data models by defining relationships between tables and optimizing data structures.

- Build interactive and informative reports and dashboards that convey insights from the data effectively.

- Create compelling and meaningful visualizations, such as charts, graphs, and maps.

- Apply DAX (Data Analysis Expressions ) formulas for advanced calculations and custom measures in Power BI.

- Explore advanced features such as forecasting, clustering, and time intelligence for deeper insights.

Target Group

-          Risk Assessment , Fraud Detection ,Compliance Reporting, Customer Analytics , Portfolio Management , Treasury Management , Branch Performance, Data Security and Compliance.


- Learn the Basics:

   - Introduction to Power BI: Understand what Power BI is and its key components, including Power BI Desktop and Power BI Service.

   - Interface Familiarization: Explore the Power BI Desktop interface, including the ribbon, report view, data view, and the visualization pane.

   - Data Sources: Learn how to connect to various data sources, such as Excel files, databases, cloud services, and web content.

   - Data Loading: Import and load data into Power BI Desktop for analysis and reporting.

   - Report Creation: Create a simple report with basic visuals to get hands-on experience.

- Data Preparation:

   - Data Import: Understand different data import options, including importing data from files, databases, or web services.

   - Data Transformation: Explore the Power Query Editor to clean, transform, and reshape data to suit your analysis needs.

   - Data Merging: Combine data from multiple sources using various merge and join techniques.

   - Data Cleansing: Learn how to handle missing values, duplicate records, and outliers in your data.

   - Data Refresh: Set up automatic data refresh to keep your dataset up-to-date.

- Data Modeling:

   - Data Modeling Basics: Understand the importance of data modeling in Power BI for creating meaningful relationships between tables.

   - Defining Relationships: Define one-to-one, one-to-many, and many-to-many relationships between tables.

   - Hierarchies: Create hierarchies to enable drill-down capabilities in your visuals.

   - Calculated Columns: Learn how to create calculated columns to enrich your data model.

   - Measures: Understand the concept of measures and how to create them using Data Analysis Expressions (DAX).

- Report Creation:

   - Building Reports: Create reports by adding visuals, such as charts, tables, and maps, to your canvas.

   - Page Layout: Customize the layout of report pages and manage background images.

   - Interactivity: Enable interactions between visuals, such as slicers and filters, to make reports more user-friendly.

   - Themes and Formatting: Customize report themes, colors, and fonts to align with your organization's branding.

   - Report Publishing: Publish reports to Power BI Service for sharing with others.

- Data Visualization:

   - Visual Best Practices: Learn principles of effective data visualization, such as choosing the right chart types and color schemes.

   - Custom Visuals: Explore custom visuals and extensions for unique visualization options.

   - Drill-Through: Set up drill-through actions to allow users to explore data in more detail.

   - Data Labels and Tooltips: Add data labels and tooltips to enhance the information conveyed by visuals.

   - Maps and Geographic Data: Create maps and use geospatial data for location-based insights.

- DAX (Data Analysis Expressions):

   - DAX Fundamentals: Understand the basics of DAX, including syntax, operators, and functions.

   - Aggregations: Learn how to use DAX to perform aggregations and calculations on your data.

   - Time Intelligence: Explore DAX functions for handling time-based data, including YTD, QTD, and MTD calculations.

   - Filtering and Context: Understand filter context and row context in DAX formulas.

   - Advanced DAX: Dive into advanced DAX concepts like iterator functions, custom tables, and parameterized measures.

- Advanced Analytics:

   - Forecasting: Use forecasting features to predict future trends in your data.

   - Clustering: Apply clustering techniques to segment your data into meaningful groups.

   - Analytics with AI: Explore AI-powered visuals and features, such as decomposition trees and key influencers.

   - Statistical Analysis: Perform statistical analysis using DAX and other statistical functions.

   - Data Insights: Extract actionable insights from your data through advanced analytics techniques.

Type of Traning

Short Course

Training Activity Rate
Training activity Hours
Training activity Date
10/12/2023 - 14/12/2023
Training Activity Days
Sun- Mon- Tue- Wed- Thu
Start and End Time
17:00 - 20:00
Break Time
18:20 - 18:40
Training Activity Classification
Basic Skills
In class
Deadline for registration
Price For Jordanian
120 JOD
Price For Non Jordanian
300 US$

* Will be given discounts for groups