Articoli correlati a Financial Forecasting Using Python and Excel
Sinossi
Reactive Publishing
Financial Forecasting Using Python and Excel
By Hayden Van Der Post
Forecasting isn’t about guessing the future—it’s about engineering it.
In Financial Forecasting Using Python and Excel, Hayden Van Der Post—seasoned financial analyst, algorithmic strategist, and published author—delivers a razor-sharp guide for mastering the twin pillars of modern forecasting: the accessibility of Excel and the automation power of Python.
This isn’t another theoretical finance book. It’s a battle-tested, hands-on blueprint designed for analysts, students, entrepreneurs, and business leaders ready to take their predictive models to the next level. Whether you're optimizing cash flow, projecting earnings, or modeling entire economic ecosystems—this book bridges the technical and the strategic with unmatched clarity.
Inside, you'll learn how to:
Build dynamic forecast models in Excel using advanced functions and data tables
Write clean, scalable Python scripts for time series analysis and regression modeling
Integrate machine learning with financial logic
Automate scenario planning and Monte Carlo simulations
Translate chaotic raw data into confident decision-making
With real-world examples, downloadable templates, and practical exercises, this book equips you to forecast with precision and power—no matter what the markets throw your way.
If you're serious about mastering financial foresight in the age of AI, this is your edge.
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- EditoreIndependently published
- Data di pubblicazione2025
- ISBN 13 9798316694822
- RilegaturaCopertina flessibile
- LinguaInglese
- Numero di pagine383
- Contatto del produttorenon disponibile
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Paperback. Condizione: new. Paperback. Reactive PublishingFinancial Forecasting Using Python and ExcelBy Hayden Van Der PostForecasting isn't about guessing the future-it's about engineering it.In Financial Forecasting Using Python and Excel, Hayden Van Der Post-seasoned financial analyst, algorithmic strategist, and published author-delivers a razor-sharp guide for mastering the twin pillars of modern forecasting: the accessibility of Excel and the automation power of Python.This isn't another theoretical finance book. It's a battle-tested, hands-on blueprint designed for analysts, students, entrepreneurs, and business leaders ready to take their predictive models to the next level. Whether you're optimizing cash flow, projecting earnings, or modeling entire economic ecosystems-this book bridges the technical and the strategic with unmatched clarity.Inside, you'll learn how to: Build dynamic forecast models in Excel using advanced functions and data tablesWrite clean, scalable Python scripts for time series analysis and regression modelingIntegrate machine learning with financial logicAutomate scenario planning and Monte Carlo simulationsTranslate chaotic raw data into confident decision-makingWith real-world examples, downloadable templates, and practical exercises, this book equips you to forecast with precision and power-no matter what the markets throw your way.If you're serious about mastering financial foresight in the age of AI, this is your edge. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9798316694822
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