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Keep shoppingFP&A Vol 9 : Data Analytics Framework
1,110 students
FP&A Vol 9 : Data Analytics Framework
Master the 4-Stage Data Analytics Framework : From Descriptive to Prescriptive Analytics in Modern Finance
Created byAsif Masani
Last updated 11/2024
English
English [Auto],
What you'll learn
- Understand the importance of data in modern FP&A and how it differs from traditional management accounting.
- Grasp the 4-stage Data Analytics Framework: Descriptive, Diagnostic, Predictive, and Prescriptive Analytics.
- Learn the practical differences between data analysis and data analytics and why analytics is crucial for FP&A.
- Apply each analytics stage through real-world finance applications and an ecommerce company example.
- Gain insights into leveraging data analytics for effective decision-making and financial forecasting.
- Summarize and integrate data analytics practices to elevate FP&A skills in a modern finance role.
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Course content
4 sections • 12 lectures • 29m total length
Requirements
- A willingness to learn about modern finance analytics and apply data-driven methods to practical scenarios.
- An interest in data-driven decision-making and a desire to improve analytical skills in finance.
- A basic understanding of finance and FP&A concepts will be helpful, but no advanced knowledge is required.
- Familiarity with Excel or other data analysis tools is beneficial, though not mandatory.
Description
Unlock the power of data in financial planning and analysis (FP&A) with our Data Analytics Framework course designed for finance professionals, analysts, and aspiring data-driven leaders.
This course takes you through the 4-stage analytics framework
—Descriptive, Diagnostic, Predictive, and Prescriptive Analytics—specifically tailored for FP&A applications.
Starting with the fundamentals, you’ll learn the importance of data in modern finance and how it differs from traditional management accounting. We’ll dive into each analytics stage, helping you understand how to analyze historical data, identify trends and patterns, make forward-looking predictions, and recommend actionable insights.
Throughout the course, you'll work with real-world examples, including a practical scenario in ecommerce, to see exactly how these analytics principles apply in practice. By the end of the course, you’ll be able to distinguish between data analysis and data analytics, leverage insights for strategic decision-making, and communicate your findings effectively.
No advanced experience is required, making this course accessible to both newcomers and experienced professionals in FP&A. Whether you're looking to advance in your current role or transition to a modern FP&A position, this course equips you with the analytical skills and knowledge needed to thrive in data-centric finance functions.
Join us and transform the way you view and use data in FP&A, gaining skills that will set you apart in the world of modern finance!
Who this course is for:
- Finance professionals and FP&A analysts looking to enhance their data analytics skills.
- Accountants and management accountants transitioning to FP&A roles or modern finance functions.
- Business analysts, data analysts, and finance managers interested in leveraging data for strategic decision-making.
- Students and recent graduates aiming to build a foundation in FP&A and data analytics frameworks.
- Anyone aspiring to use data to drive insights, improve forecasting, and add value to financial planning and analysis.