Build practical financial analysis and modeling skills used by analysts and finance professionals to evaluate business performance and support decisions.This course walks you through financial statements, ratio analysis, forecasting, and valuation, helping you convert raw numbers into clear insights. You’ll learn how income statements, balance sheets, and cash flow statements connect, and how to assess profitability, liquidity, efficiency, and leverage. Next, you’ll apply ratio analysis and DuPont decomposition to identify performance drivers and working capital efficiency. You’ll build integrated financial models in Excel or Google Sheets, run scenario and sensitivity analysis, and apply valuation methods like DCF and comparables. Finally, you’ll explore forecasting and budgeting techniques (SMA, EMA) and use Excel, Sheets, and Python to automate analysis. This course emphasizes hands-on modeling and business interpretation, so you understand what the numbers mean. By the end of this course, you will be able to: • Analyze financial statements to evaluate business performance • Apply ratios, DuPont analysis, and CCC for financial diagnostics • Build integrated models with scenarios and valuation techniques • Forecast outcomes and interpret results for strategic decisions This course is ideal for: • Aspiring financial analysts and FP&A professionals • Commerce, finance, and MBA students • Professionals transitioning into finance roles • Early-career analysts strengthening modeling skills Start building the financial modeling skills used to drive confident, data-backed business decisions. Disclaimer: This is an independent educational resource created by Board Infinity for informational and educational purposes only. This course is not affiliated with, endorsed by, sponsored by, or officially associated with any company, organization, or certification body unless explicitly stated. The content provided is based on industry knowledge and best practices but does not constitute official training material for any specific employer or certification program. All company names, trademarks, service marks, and logos referenced are the property of their respective owners and are used solely for educational identification and comparison purposes.

Turn financial data into actionable forecasts using machine learning and AI. This practical course builds your ability to model trends, predict outcomes, and support financial decisions using Python tools such as pandas, scikit-learn, and Prophet.You’ll begin with ML foundations tailored for finance, including regression, clustering, and time series forecasting for trend and seasonality analysis. Next, you’ll engineer domain-specific features such as lag variables, rolling statistics, volatility metrics, technical indicators, and seasonal signals to improve predictive accuracy. You’ll then apply structured validation techniques including cross-validation and walk-forward validation, measuring performance with MAE, RMSE, and MAPE while diagnosing overfitting and instability. Finally, you’ll implement ML workflows for stock trend prediction, credit scoring, risk modeling, and portfolio analytics, and use generative AI for sentiment analysis and financial insight extraction. By the end, you’ll be able to design reliable forecasting pipelines and apply AI-driven models to real financial use cases. By the End, You Will: • Build regression, time series, and clustering models for finance • Engineer financial features to enhance model accuracy • Evaluate models using validation techniques and error metrics • Apply ML and generative AI to financial forecasting tasks This Course Is Ideal For: • Finance professionals expanding into ML • Analysts working with financial datasets • Students targeting fintech or quantitative roles • Developers building AI-driven financial applications Gain the skills to convert financial data into dependable predictions and strategic insight. Disclaimer: This is an independent educational resource created by Board Infinity for informational and educational purposes only. This course is not affiliated with, endorsed by, sponsored by, or officially associated with any company, organization, or certification body unless explicitly stated. The content provided is based on industry knowledge and best practices but does not constitute official training material for any specific employer or certification program. All company names, trademarks, service marks, and logos referenced are the property of their respective owners and are used solely for educational identification and comparison purposes.

Learn how to automate financial insights end-to-end by building real-time data pipelines, AI-powered dashboards, and interactive financial applications. In this course, you will use APIs, ETL workflows, Power BI, Tableau, Streamlit, ML models, and LLM-based AI tools to deploy production-ready financial analytics systems.In Module 1, you will explore automation foundations for finance by working with financial APIs, ETL pipelines, and workflow orchestration tools while implementing governance, auditability, and error handling. In Module 2, we will cover dashboard design and real-time financial visualization using Power BI and Tableau, including automated refresh, forecasting visuals, and alerting mechanisms. In Module 3, you will see how to build interactive financial applications using Streamlit, integrate ML models and real-time data, and deploy cloud-hosted analyst tools. In Module 4, we will bring everything together in a capstone project by building a fully automated, AI-enabled financial insights platform with APIs, ML forecasting, dashboards, LLM commentary, alerts, and monitoring. By the end, you will be able to: -Build automated financial data pipelines using APIs and ETL workflows -Create real-time dashboards with Power BI, Tableau, and Streamlit -Integrate ML models and LLM-generated insights into analytics systems -Deploy cloud-ready, end-to-end financial automation solutions This course is ideal for: -FP&A, finance, and investment professionals seeking automation skills -Analysts building dashboards and real-time reporting systems -Data professionals working on financial analytics platforms -Learners completing a finance + AI specialization or capstone Transform static financial reports into automated, AI-powered insight systems used by modern finance teams. Disclaimer: This is an independent educational resource created by Board Infinity for informational and educational purposes only. This course is not affiliated with, endorsed by, sponsored by, or officially associated with any company, organization, or certification body unless explicitly stated. The content provided is based on industry knowledge and best practices but does not constitute official training material for any specific employer or certification program. All company names, trademarks, service marks, and logos referenced are the property of their respective owners and are used solely for educational identification and comparison purposes.