Data Analytics Core
Concepts Certificate

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Data Analytics Core Concepts Certificate

The Data Analytics Core Concepts Certificate is designed for professionals who want to gain foundational knowledge in data analytics to enhance decision-making and operational efficiency.

This two-day course covers essential concepts, including data visualization, data-driven strategies, and foundational analytics techniques. Through hands-on exercises and real-world case studies, participants will learn to interpret data effectively, communicate insights clearly, and integrate analytics into their organizational processes. This certificate, developed by AICPA and CIMA, ensures practical knowledge and industry relevance.

Learning outcomes
Develop a foundational understanding of data analytics concepts and methodologies.
Prepare and clean datasets for effective analysis.
Visualize and communicate data insights using charts, dashboards, and storytelling techniques.
Apply basic statistical methods to identify trends and relationships.
Use data analytics tools to solve business problems and drive performance.
Who should attend?

• Business professionals looking to enhance their data analysis skills.
• Finance and accounting professionals seeking data-driven insights.
• Managers and team leaders aiming to integrate data analytics into decision-making..
• Individuals aspiring to build a strong foundation in data analytics.

Data Analytics Core Concepts Certificate
Jul 07, 2025
  • Certificate on completion
  • Interactive learning
8,485 AED
Inclusive VAT
Want to upskill your team?

Data Analytics Core Concepts Certificate

The Data Analytics Core Concepts Certificate is designed for professionals who want to gain foundational knowledge in data analytics to enhance decision-making and operational efficiency.

This two-day course covers essential concepts, including data visualization, data-driven strategies, and foundational analytics techniques. Through hands-on exercises and real-world case studies, participants will learn to interpret data effectively, communicate insights clearly, and integrate analytics into their organizational processes. This certificate, developed by AICPA and CIMA, ensures practical knowledge and industry relevance.

Learning outcomes
Develop a foundational understanding of data analytics concepts and methodologies.
Prepare and clean datasets for effective analysis.
Visualize and communicate data insights using charts, dashboards, and storytelling techniques.
Apply basic statistical methods to identify trends and relationships.
Use data analytics tools to solve business problems and drive performance.
Who should attend?

• Business professionals looking to enhance their data analysis skills.
• Finance and accounting professionals seeking data-driven insights.
• Managers and team leaders aiming to integrate data analytics into decision-making..
• Individuals aspiring to build a strong foundation in data analytics.

Data Analytics Core Concepts Certificate
Dec 15, 2025
  • Certificate on completion
  • Interactive learning
8,485 AED
Inclusive VAT
Want to upskill your team?

Our Partners

This certificate is developed and certified AICPA and CIMA,
, global leaders in accounting and finance education.


AICPA and CIMA focus on delivering cutting-edge certifications and training programs that empower professionals with essential skills in data analytics and beyond.

Course Modules

o Overview of data analytics and its importance in decision-making.
o The data analytics lifecycle: data collection, preparation, analysis, and visualization.
o Ethical considerations and data governance in analytics.

o Techniques for handling missing data, outliers, and inconsistencies.
o Organizing raw data into structured datasets for analysis.
o Practical exercises in data cleaning using analytics software.

o Best practices for designing effective visualizations, including charts and dashboards.
o Tools and techniques for creating interactive data stories.
o Hands-on activities using tools like Tableau or Excel.

o Introduction to basic statistical methods, including descriptive and inferential analytics.
o Identifying patterns and trends using correlation and regression.
o Case studies in applying statistical techniques to solve business problems.

o Strategies for aligning analytics with business goals.
o Using data insights to identify opportunities and challenges.
o Building actionable recommendations from data-driven findings.

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