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Data Analysis and Decision-Making Workshop

By: Centre for Public Service Productivity and Development

Lagos State, Nigeria

14 - 16 Apr, 2026  3 days

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NGN 285,000

Get 5.00% off

Venue: Lagos

Other Dates

Venue Date Fee  
Lagos, Lagos State, Nigeria 14 - 16 Jul, 2026 NGN285000
Lagos, Lagos State, Nigeria 13 - 15 Oct, 2026 NGN285000

Data is the foundation of informed decision-making in modern organizations, enabling leaders to navigate uncertainties and drive success. The Data Analysis and Decision Making Course provides essential skills to analyze data effectively and apply insights to real-world business, policy, or operational decisions. This course covers analytical techniques, tools, and frameworks, emphasizing practical applications in dynamic environments. Tailored for professionals in growing economies , where data-driven strategies can address challenges such as market volatility or resource optimization, it bridges the gap between data handling and strategic outcomes.

Learning Objectives

At the end of the workshop, participants will be able to

  • Collect, clean, and analyze data using standard tools to uncover patterns and trends.
  • Apply statistical methods and models to support decision-making processes.
  • Interpret data visualizations and reports to evaluate options and predict impacts.
  • Create actionable strategies based on data insights for business or organizational growth.

Programme Content

Introduction to data Analysis

  • understanding data types
  • importance of data in decision making
  • Overview of Data Analysis process

 Data collection Techniques

  •  Surveys and Questionnaires
  • Experiments and observational studies

Decision Making: Types and techniques

  •  Identifying Alternatives
  • Review and Evaluate
  • Take Action

Statistical Analysis

  • Descriptive Statistics
  • Inferential Statistics
  • Hypothesis Statistics

Data Visualization

  • Principles of effective visualization
  • Tools for data visualization

Methodology

Lecture, discussion, syndicate work, and case study. Audio-visual aids will be used to reinforce learning.

Target Audience

  • Business professionals, managers, analysts, and decision-makers with basic computer skills seeking to enhance their analytical capabilities.
  • Ideal for roles in finance, operations, marketing, government, or entrepreneurship in bustling hubs economies, where quick, evidence-based decisions are key to competitiveness.

Conclusion

As we conclude the Data Analysis and Decision Making Course, celebrate your progress in mastering the art of turning data into decisive action. You've learned to analyze information critically and apply it to solve complex problems, blending analytics with strategic thinking for real impact.

Key takeaways highlight the transformative power of data: ethical analysis ensures trustworthy outcomes, while integrated frameworks guide better choices in uncertain times. In our fast-paced environment, put these skills to work-perhaps by reviewing your organization's data for a key decision. Continue exploring advanced tools and stay connected with data communities for ongoing growth.

Accommodation: 
This course is non-residential. Participants are to lodge in hotels of their choice near the Training centre. A list of these Hotels will be provided on request

Course Booking

Please use the “book now” or “inquire” buttons on this page to either book your space or make further enquiries.

Lagos Apr 14 - 16 Apr, 2026
Lagos, Lagos State, Nigeria 14 - 16 Jul, 2026
Lagos, Lagos State, Nigeria 13 - 15 Oct, 2026
NGN 285,000.00(The program fees covers tuition, Course Materials, Tea/Coffee Break, Lunch, Bag, Certificate of participation and administration)
(Convert Currency)

Dr Chris Egbu +2348023194131

Organizations sponsoring two staff will get 10% discount, Three - Five will get 15% discount, Six - Ten will get 20% discount and Payment before two weeks to event date attracts 5% discount. You can also consider the option of having this training in-house or online at 40% discount and 5 free e-books
CeProd

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