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Leading Data Analytics Projects

RM4,500.00Price
The Leading Data Analytics Projects (3 Days) course empowers managers, analysts, and data leaders to design and execute successful analytics initiatives. Participants will explore the Analytics Project Lifecycle (APLC) — from business framing and prototype development to deployment and ROI measurement.
 
Through interactive discussions and real-world case applications using Power BI, Tableau, and Python, learners will gain the skills to interpret data patterns, build analytics strategies, and manage team capacity for scalable insights. This program bridges business strategy and technical execution, equipping participants to lead data-driven transformation and ensure measurable business impact through analytics.

This programme is created specifically for learners who wish to design and conduct data studies to drive organisational decisions and insights.

Frequently Asked Questions

What is the focus of this course?

It focuses on planning, managing, and evaluating analytics projects using frameworks and visualization tools.

Who should attend this training?

Managers, business analysts, BI leads, and decision-makers involved in analytics strategy and project delivery.

What tools are used?

Power BI, Tableau, and Python for practical analytics and visualization case exercises.

Does the course require technical skills?

No. It is designed for both technical and non-technical professionals managing analytics teams or outcomes.

What key skills will participants gain?

Participants will learn analytics project lifecycle management, stakeholder communication, and ROI measurement.

Is this course HRDC claimable?

Yes, it’s HRDC claimable under AjarAble Consulting’s registered training programs.

Can this course be customized for organizations?

Yes. It can be adapted to fit industry-specific analytics maturity, strategy, or governance models.

What makes this course unique?

It blends data leadership, analytics lifecycle mastery, and ROI management with practical visualization exercises.


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