Strategic Modelling in FP&A: Advanced Excel and Python Solutions
English | April 19, 2024 | ISBN: N/A | ASIN: B0D2B1HTCJ | 273 pages | EPUB | 0.56 Mb
Reactive Publishing
Book Overview
“Strategic Modelling in FP&A: Advanced Excel and Python Solutions” equips finance professionals with the essential tools and methodologies needed to transform their financial planning and analysis by leveraging the power of Excel and Python. This comprehensive guide dives deep into modern techniques for building adaptable and powerful models that can handle today’s dynamic financial environments.
Key Features
Detailed Explanations & Practical Examples: Learn through detailed, step-by-step explanations of each modelling technique, supplemented by practical examples and real-case scenarios.
Advanced Excel Techniques: Master sophisticated Excel functions and tools including Power Query, Power Pivot, and advanced data visualization to enhance your analytical capabilities.
Python for Finance: Unlock the potential of Python in financial analysis with clear instructions on setting up your environment, coding essentials, and using libraries like Pandas and NumPy for data analysis and model building.
Integrative Techniques for Robust Financial Models: Discover how to integrate Excel and Python to create robust, more efficient financial models, moving from traditional methods to advanced, script-driven techniques.
Scenario Analysis & Risk Assessment: Implement scenario analysis, Monte Carlo simulations, and risk assessment techniques to predict outcomes and inform business strategies.
Target Audience
This book is designed for financial analysts, controllers, finance managers, and CFOs aiming to enhance their strategic decision-making capabilities. It is also invaluable for academia, including students specializing in finance or professionals pursuing further education in financial analysis and modelling.
Benefits to Readers
Enhance Analytical Skills: Readers will develop the skills to not only enhance their current modelling techniques but also to implement new strategies that integrate Python’s computational power.
Drive Business Decisions: Equip yourself with the knowledge to influence strategic business decisions by predicting financial outcomes with greater accuracy.
Stay Ahead: With the cutting-edge integration of Excel and Python, readers will stay competitive in the evolving landscape of financial analysis.
