Leading with Analysis - Virtual Learning
Join the "Leading with Analysis" training course and unlock your organisation's potential for data analytics, data science, and artificial intelligence. Discover the latest analytics techniques and tools available to business leaders today. However, many organisations need help turning these innovations into tangible business value, often investing heavily with little return. The gap between advanced data science and current business practices is a common challenge.
By attending this training course, you will learn how to bridge that gap. You'll gain practical knowledge on applying the right tools and techniques in data analysis, ensuring your investments yield valuable results. Develop a data-driven management culture and confidently implement modern tools and methods, maximising value for your organisation.
This Gulf Rowad Leading with Analysis training course will highlight the following:
The role of data, AI and analytics in managing and leadership
Using data for making better decisions and recommendations
Presenting Data and Information more Persuasively for Stakeholder buy-in
Using ratios and data analysis to manage teams, suppliers, and resources.
How to use analysis changes needed in staff, suppliers, sales and strategy
5 Days
1620 Sessions
Starting from USD 2,000
Available Face to Face
Course Methodology
This Leading with Analysis training course will use a variety of proven adult learning techniques to ensure maximum understanding, comprehension, and retention of the information presented. This includes examples of digital transformation strategies, issues, risks related to digital transformation, implementation examples, tools and techniques, and tips and tricks for digital transformation implementation.
Course Objectives
At the end of this Leading with Analysis training course, you will learn to:
- Identify the best analytics tools and techniques for the best results
- Learn how best to present your data visually
- Understand the business value of the data analysis
- Implement Analysis and data-driven decision-making
- Adopt The Four Stages of Analytics in organisation
Target Audience
This Gulf Rowad Leading with Analysis training course is suitable for a wide range of professionals but will greatly benefit:
- Inspired leaders or the ones trying to become inspired leaders,
- Managers,
- Technical leaders,
- Project Managers,
- Data Analysts,
- Data Scientists.
Target Competencies
Organisational Impact
Organisations will make critical, high-stakes decisions and strategically invest in AI. This approach empowers business unit leaders to achieve tangible results through targeted analytics initiatives. It equips rising leaders with the strategies and tactics needed to drive real impact using data analysis.
Organisations will significantly benefit from the following:
- Identifying a path for any leader who wants to gain capability and confidence with analytics
- Accepting analytics are not just the domain of data scientists or specific departments
- Understanding that to use analysis effectively in your organisation, you need critical thinking skills
- Lead analysis-driven business initiatives with more excellent skill and confidence
- Leaders who create organisational culture and structure for data analysis
Personal Impact
Therefore, delegates will acquire a working knowledge of data analysis and its implementation within enterprises, which can significantly improve their opportunities for career growth and the quality of their work and day-to-day work.
Delegates will significantly benefit by:
- Identifying a path for any leader who wants to gain capability and confidence with analytics
- Understand where analysis can add value to the organisation
- Identify what good analytics are and what to avoid
- Enhancing their capabilities to lead the teams
- Improving their knowledge of data science and project management in the digital world
Course Outline
Day 1
Cultivating Leadership for Data Analysis
- Data Analysis for Successful Leaderships: key principles and models
- Framing the Problem to Maximize Added Value to Business and Organization,
- Discovering Patterns in Data using Analysis,
- Setting Expectations for Successful Data Analysis Implementation
- Planning and Managing Data Science Projects
Day 2
Embedding data and analysis in your management style
- Business Context of Opportunities using data: Staff, suppliers, sales and strategy
- Adapting to Business Priorities in Dynamic and Challenging Business Environments
- Monitoring for Anomalies and changes in Data
- Using analytics to improve people management and team building
- Respecting Diverse Perspectives of Problem Solving
Day 3
Capabilities and competences of a Digital and Data-focused Leader
- Effective Project Delegation and Allocation
- Building Powerful Teams based on Competency Analysis
- Using ratio analysis and data for investment and ROI decisions
- Fundamental Domain Opportunities and Improving your Knowledge
- Gain the ability to link data analysis directly to strategic decisions.
Day 4
Presenting Data, Analysis and Information Persuasively
- Learn to translate complex data into clear, persuasive messages.
- Utilise Proven Visualisation Techniques for Impact and Influence
- Tailor Presentations to Diverse Audiences for Maximum Impact
- Understand how to adapt your data presentations to meet the needs and expectations of different stakeholders.
- Enhance Persuasiveness through Clear Communication
Day 5
Data analysis for Process, Product and People improvement
- Understand the Core Principles of Design Thinking and How to Use
- Apply Empathy to Identify Key Challenges and Solutions
- Prototype and Test Innovative Solutions Using and Improving People-focused Initiatives.
- Collaborate Effectively Across Teams for Ideas
- Integrate Design Thinking into Organisational Strategy
- Evaluating Ideas using a Data-Based Decision Model
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
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