Training course on Financial Analysis, Modelling & Forecasting Course in Nairobi and Mombasa; Kenya

Financial analysis, modelling, and forecasting are critical skills for professionals involved in decision-making, strategic planning, and investment management. This comprehensive training course is designed to equip participants with advanced techniques to analyze financial data, create dynamic financial models, and generate accurate forecasts to drive strategic growth. Whether for corporate planning, project valuation, or investment analysis, mastering these skills is essential for optimizing financial performance.

The course combines theoretical insights with practical applications, enabling participants to build robust financial models using Excel and advanced analytical tools. Participants will learn to evaluate financial health, assess risks, and make informed projections, fostering confidence in financial decision-making. Real-world case studies and interactive exercises ensure that participants can immediately apply their newfound knowledge in their respective industries.

Given the fast-paced and competitive business environment, organizations must anticipate trends, mitigate risks, and leverage opportunities. This training provides the expertise to create financial models that simulate various scenarios, ensuring preparedness for any economic conditions. From beginners to seasoned professionals, the course is tailored to meet the needs of anyone keen on advancing their financial acumen.

Course Duration

5 Days

Course Objectives

1. Understand the principles and applications of financial analysis.
2. Learn how to create dynamic financial models in Excel.
3. Master forecasting techniques for short-term and long-term planning.
4. Identify key financial indicators for decision-making.
5. Analyze and interpret financial statements effectively.
6. Apply scenario and sensitivity analysis to assess risks.
7. Design cash flow projections for business planning.
8. Evaluate investment opportunities and project viability.
9. Integrate macroeconomic data into financial models.
10. Present financial insights and recommendations to stakeholders.

Organizational Benefits

1. Gain enhanced financial decision-making capabilities.
2. Improve forecasting accuracy for strategic planning.
3. Optimize resource allocation and investment strategies.
4. Strengthen the ability to evaluate financial health and performance.
5. Increase efficiency in financial reporting and analysis.
6. Reduce risks through advanced scenario modeling.
7. Ensure consistency in financial planning processes.
8. Build internal capacity for developing and maintaining financial models.
9. Enhance stakeholder confidence with data-driven insights.
10. Achieve a competitive edge with improved financial foresight.

Target Participants

• Financial analysts and consultants.
• Business managers and decision-makers.
• Accountants and auditors.
• Investment analysts and portfolio managers.
• Entrepreneurs and business owners.
• Risk management professionals.
• Budgeting and forecasting teams.
• Project managers overseeing financial performance.
• Professionals in banking, insurance, and finance industries.
• Students and researchers aspiring to advance in financial analysis

Course Outline

Module 1: Fundamentals of Financial Analysis

1. Overview of financial analysis concepts and techniques.
2. Understanding financial statements and key ratios.
3. Identifying performance metrics for decision-making.
4. Assessing financial health and sustainability.
5. Case Study: Comparative financial analysis of industry competitors.

Module 2: Building Financial Models

1. Introduction to financial modeling principles.
2. Structuring models for clarity and accuracy.
3. Linking financial statements within a model.
4. Best practices for error-proof modeling.
5. Case Study: Developing a comprehensive model for a start-up business.

Module 3: Forecasting Techniques

1. Time-series analysis and trend identification.
2. Quantitative and qualitative forecasting methods.
3. Integrating external economic data into forecasts.
4. Tools and software for efficient forecasting.
5. Case Study: Creating a sales forecast for a retail chain.

Module 4: Risk Assessment and Scenario Analysis

1. Introduction to scenario and sensitivity analysis.
2. Evaluating risks in financial planning.
3. Building "what-if" scenarios for better decision-making.
4. Stress-testing financial models under various conditions.
5. Case Study: Risk analysis for a capital investment project.

Module 5: Advanced Valuation Techniques

1. Understanding discounted cash flow (DCF) analysis.
2. Applying valuation multiples and comparables.
3. Evaluating project feasibility with net present value (NPV) and internal rate of return (IRR).
4. Incorporating real options into valuation.
5. Case Study: Valuation of a merger or acquisition target.

Module 6: Presenting Financial Insights

1. Designing clear and impactful financial reports.
2. Visualizing data for stakeholder presentations.
3. Communicating forecasts and recommendations effectively.
4. Using dashboards to summarize financial performance.
5. Case Study: Preparing a financial performance presentation for the board.

Training Methodology

The instructor led trainings are delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web-based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.

Register as a group from 3 participants for a Discount

Send us an email: info@datastatresearch.org or call +254724527104 

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

 We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.

Course Schedule