Python for FP&A - Forecasting
3 Weeks
·Cohort-based Course
You have heard how powerful Python is for finance,now we will show you how easy to learn it is! Specially if you also use Chat GPT!
Python for FP&A - Forecasting
3 Weeks
·Cohort-based Course
You have heard how powerful Python is for finance,now we will show you how easy to learn it is! Specially if you also use Chat GPT!
Course overview
Learn how to use Pyhon for FP&A! We will start with Forecasting
**NO PRIOR EXPERIENCE IN PYTHON REQUIRED**
Learn in an EASY and PRACTICAL way how to apply forecasting techniques such as time series analysis, ARIMA (AutoRegressive Integrated Moving Average) modeling, exponential smoothing, and machine learning algorithms for financial forecasting.
You will also gain hands-on experience in building and evaluating forecast models using real-world financial data.
Who is this course for
01
Finance Analysts: You will learn how to automate repetitive tasks, analyze large datasets, and build advanced forecast models!
02
Heads of FP&A: Gain the Python skills to effectively analyze financial data, develop accurate forecasts, and provide strategic insights!
03
CFOs: This course can provide CFOs with the technical skills to leverage Python for forecasting, enabling them t
What you’ll get out of this course
Python Fundamentals for FP&A:
- Understanding Python programming basics, including data types, variables, loops, and conditional statements.
- Working with Python libraries such as Pandas, Matplotlib, and NumPy for data manipulation, data visualization, and statistical analysis.
- Hands-on exercises
Time Series Analysis and Forecasting Techniques:
- Exploring time series data and understanding its characteristics.
- Applying time series analysis techniques such as decomposition, smoothing, and differencing to identify patterns and trends.
- Building forecasting models using popular methods such as ARIMA
Advanced Forecasting Techniques with Python:
- Understanding advanced forecasting techniques, including machine learning-based models such as regression, decision trees, and ensemble methods.
- Applying best practices in model validation, interpretation of results, and communicating forecast findings to stakeholders.
Python for FP&A - Forecasting
Meet your instructor
Christian Martinez
Finance Automation Manager at Kraft Heinz Founder of The Financial Fox
Finance Analytics and Automation Manager with 6+ years of experience in Financial planning and analysis (FP&A), Management Accounting, Controllership and Supply Chain Finance within Australia and The Netherlands.
Conference Speaker in Topics such as: Machine Learning and Artificial Intelligence (AI) in Finance, Finance Transformation, Data Analytics in FP&A and Finance, Practical Applications of Data Science, and more!
Named 30 under 30 in the Accounting and Finance industry in Australia in 2021; Won EMEA Data Democratizer Award in 2022, Finalist in the Young Leaders in Finance Awards 2018.
Master's Degree in Finance & Data Science
Strong background in financial modelling and data analytics using Python, Tableau, Alteryx, Power BI, SQL, Excel, Azure Machine Learning and R.
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Python for FP&A - Forecasting
Course schedule
1 hour of live class per week
Mondays
6:00 PM to 7:00PM Central European Time
Message me if you cannot make it this time and we can arrange a second time zone (specially for Australia)
https://www.linkedin.com/in/christianmartinezthefinancialfox/
Weekly projects
2 hours of individual practice per week
We will also hold office hours if you have questions!
Learning is better with cohorts
Active hands-on learning
This course builds on live workshops and hands-on projects
Interactive and project-based
You’ll be interacting with other learners through breakout rooms and project teams
Learn with a cohort of peers
Join a community of like-minded people who want to learn and grow alongside you
Frequently Asked Questions
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