Power BI: Beginner Data Analysis Techniques - Virtual Learning
This Beginner Data Analysis Using Power BI training course is a hands-on training course, allowing delegates to build foundational skills in Power BI step-by-step. Each day, participants will work on their laptops, following practical exercises to transform data, create visualizations, and build dashboards. By the end of the week, they will have a solid understanding of Power BI’s core features, along with a preview of intermediate-level concepts.
This Gulf Rowad training course will highlight:
Introduction to Power BI and its interface
Basic data visualization and reporting
Data import and transformation techniques
Fundamental analytical tools
Essential reporting capabilities for beginners
5 Days
1620 Sessions
Starting from USD 2,000
Available Face to Face
Course Methodology
This Power BI: Beginner Data Analysis Techniques training course combines hands-on activities, interactive lectures, and real-world case studies to introduce fundamental Power BI skills and data visualization techniques.
Course Objectives
At the end of this Power BI: Beginner Data Analysis Techniques training course, you will learn to:
- Navigate Power BI’s functionalities
- Import, clean, and transform data
- Create foundational visualizations
- Build basic reports and dashboards
- Share insights with confidence
Target Audience
This Gulf Rowad training course is suitable for professionals seeking foundational data analysis skills. It will greatly benefit:
- Data entry specialists
- Junior analysts
- Business associates
- IT support staff
- Individuals new to Power BI and data visualization
Target Competencies
Organisational Impact
The organization will have the following benefits:
- Enhanced data analysis skills among employees
- Improved ability to create visual, data-driven reports
- Better decision-making through visual insights
- Strengthened reporting capabilities for teams
- Increased productivity in data handling
- Foundation for advanced analytics training
Personal Impact
At the end of this Power BI: Beginner Data Analysis Techniques training course, participants will gain:
- Confidence in using Power BI’s core tools
- Skills to transform and clean data
- Ability to create effective visualizations
- Understanding of basic data reporting
- Motivation to further their data analysis skills
- Introduction to intermediate techniques
Course Outline
Day 1
Getting Started with Power BI
- Introduction to Power BI
- Navigating the interface
- Importing data from different sources
- Transforming and cleaning data basics
End-of-Day Exercise: Import and clean a sample dataset
Day 2
Creating Basic Visualizations
- Data visualization fundamentals
- Creating basic charts and graphs
- Formatting and customizing visuals
- Adding interactive elements
End-of-Day Exercise: Create a report with at least three different visual types
Day 3
Introduction to Reports and Dashboards
- Building a report: Structuring pages, adding visuals, and creating layouts
- Dashboard basics: Differences between reports and dashboards
- Publishing and sharing
End-of-Day Exercise: Build a simple multi-page report and publish it
Day 4
Enhancing Dashboards for Business Insights
- Creating dashboards: Pinning visuals to build a dynamic dashboard
- Data filtering and drillthroughs
- Dashboard customization: Layouts, themes, and branding options
End-of-Day Exercise: Create a dashboard showcasing key performance indicators (KPIs)
Day 5
Introduction to Data Modeling and Sneak Peek into Intermediate Power BI
- Introduction to data modeling: Relationships, joins, and table linking
- Basic DAX functions: Calculated columns and basic measures
- Sneak peek into intermediate Power BI: Data modeling and advanced DAX capabilities
End-of-Day Exercise: Practice linking tables and creating basic DAX calculations
2026 Schedule & Fees
Course Fees Starting From
USD
2,000
| Date | City | Language | Price | Action |
|---|---|---|---|---|
| 28 Jun - 02 Jul, 2026 | Online | English | USD 2,000 | Book |
| 28 Jun - 02 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 05 Jul - 09 Jul, 2026 | Online | English | USD 2,000 | Book |
| 05 Jul - 09 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 12 Jul - 16 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 12 Jul - 16 Jul, 2026 | Online | English | USD 2,000 | Book |
| 19 Jul - 23 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 19 Jul - 23 Jul, 2026 | Online | English | USD 2,000 | Book |
| 26 Jul - 30 Jul, 2026 | Online | English | USD 2,000 | Book |
| 26 Jul - 30 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 02 Aug - 06 Aug, 2026 | Online | English | USD 2,000 | Book |
| 02 Aug - 06 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 09 Aug - 13 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 09 Aug - 13 Aug, 2026 | Online | English | USD 2,000 | Book |
| 16 Aug - 20 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 16 Aug - 20 Aug, 2026 | Online | English | USD 2,000 | Book |
| 23 Aug - 27 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 23 Aug - 27 Aug, 2026 | Online | English | USD 2,000 | Book |
| 30 Aug - 03 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 30 Aug - 03 Sep, 2026 | Online | English | USD 2,000 | Book |
| 06 Sep - 10 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 06 Sep - 10 Sep, 2026 | Online | English | USD 2,000 | Book |
| 13 Sep - 17 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 13 Sep - 17 Sep, 2026 | Online | English | USD 2,000 | Book |
| 20 Sep - 24 Sep, 2026 | Online | English | USD 2,000 | Book |
| 20 Sep - 24 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 27 Sep - 01 Oct, 2026 | Online | English | USD 2,000 | Book |
| 27 Sep - 01 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 04 Oct - 08 Oct, 2026 | Online | English | USD 2,000 | Book |
| 04 Oct - 08 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 11 Oct - 15 Oct, 2026 | Online | English | USD 2,000 | Book |
| 11 Oct - 15 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 18 Oct - 22 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 18 Oct - 22 Oct, 2026 | Online | English | USD 2,000 | Book |
| 25 Oct - 29 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 25 Oct - 29 Oct, 2026 | Online | English | USD 2,000 | Book |
| 01 Nov - 05 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 01 Nov - 05 Nov, 2026 | Online | English | USD 2,000 | Book |
| 08 Nov - 12 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 08 Nov - 12 Nov, 2026 | Online | English | USD 2,000 | Book |
| 15 Nov - 19 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 15 Nov - 19 Nov, 2026 | Online | English | USD 2,000 | Book |
| 22 Nov - 26 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 22 Nov - 26 Nov, 2026 | Online | English | USD 2,000 | Book |
| 29 Nov - 03 Dec, 2026 | Online | English | USD 2,000 | Book |
| 29 Nov - 03 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 06 Dec - 10 Dec, 2026 | Online | English | USD 2,000 | Book |
| 06 Dec - 10 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 13 Dec - 17 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 13 Dec - 17 Dec, 2026 | Online | English | USD 2,000 | Book |
| 20 Dec - 24 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 20 Dec - 24 Dec, 2026 | Online | English | USD 2,000 | Book |
| 27 Dec - 31 Dec, 2026 | Online | English | USD 2,000 | Book |
| 27 Dec - 31 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
Face to Face Courses
Face to Face
Power BI: Beginner Data Analysis Techniques
5 Days
1566 Sessions
Data Management Analytics
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