Data Analytics
Foundation Certificate

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Data Analytics Foundation Certificate

The "Data Analytics Foundation Certificate" course provides participants with essential skills in data analytics, covering the full lifecycle from data collection and cleaning to analysis and visualization.

Participants will learn how to use tools like Python, Excel, and Power BI to create insights and support decision-making.

Learning outcomes
Understand the data analytics lifecycle
Collect, clean, and preprocess data effectively
Utilize tools such as Python, R, or Excel for data analysis
Apply statistical methods to analyze data
Create compelling data visualizations
Interpret and communicate analytical findings
Who should attend?

• Aspiring data analysts
• Business intelligence professionals
• IT professionals
• Business managers and decision-makers
•Professionals seeking data-driven decision-making expertise

Data Analytics Foundation Certificate
Sep 25, 2025
  • Certificate on completion
  • Interactive learning
7,325 AED
Inclusive VAT
Want to upskill your team?

Our Partners

This course is certified by AICPA and CIMA,
global leaders in finance and accounting education.

Their programs emphasize practical, strategic expertise for finance professionals worldwide.

Course Modules

- Definition and importance of data analytics
- Overview of the data analytics lifecycle
- Roles and responsibilities of a data analyst

- Methods of data collection
- Data quality assessment
- Techniques for data cleaning and preprocessing

- Descriptive statistics
- Identifying patterns and trends
- Data summarization techniques

- Principles of effective data visualization
- Tools for creating visualizations
- Developing dashboards and reports

- Basic statistical concepts
- Hypothesis testing
- Correlation and regression analysis

- Overview of tools such as Python, R, and Excel
- Data manipulation with libraries (e.g., Pandas, NumPy)
- Introduction to SQL for data querying

- Overview of tools such as Python, R, and Excel
- Data manipulation with libraries (e.g., Pandas, NumPy)
- Introduction to SQL for data querying

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