Cursos de datos, IA y nube

Desarrolla habilidades en Python para mejorar tu carrera financiera: listas, arrays y visualización de datos.

Aprende sobre modelización financiera en Excel, incluyendo flujo de caja, análisis de escenarios, valor temporal y presupuesto de capital.

Build on top of your Python skills for Finance, by learning how to use datetime, if-statements, DataFrames, and more.

Aprende a realizar análisis financieros en Power BI o aplica cualquier conocimiento financiero con las visualizaciones de datos de Power BI.

Evaluate portfolio risk and returns, construct market-cap weighted equity portfolios and learn how to forecast and hedge market risk via scenario generation.

Aprende a preparar datos para solicitudes de crédito y a aplicar machine learning y reglas para mejorar la seguridad y la rentabilidad.

Learn essential data structures such as lists and data frames and apply that knowledge directly to financial examples.

Learn to implement custom trading strategies in Python, backtest them, and evaluate their performance!

Learn how to calculate meaningful measures of risk and performance, and how to compile an optimal portfolio for the desired risk and return trade-off.

In this course, youll learn how to import and manage financial data in Python using various tools and sources.

Learn essential finance math skills with practical Excel exercises and real-world examples.

Using Python and NumPy, learn the most fundamental financial concepts.

Aprende sobre la gestión del riesgo, el valor en riesgo y mucho más, en un contexto aplicado a la crisis financiera de 2008 con Python.

You will use Net Revenue Management techniques in Excel for a Fast Moving Consumer Goods company.

Discover how to use the income statement and balance sheet in Power BI

Learn about how dates work in R, and explore the world of if statements, loops, and functions using financial examples.

Learn how to build a graphical dashboard with Google Sheets to track the performance of financial securities.

Learn key financial concepts such as capital investment, WACC, and shareholder value.

Work with risk-factor return series, study their empirical properties, and make estimates of value-at-risk.

Apply your finance and R skills to backtest, analyze, and optimize financial portfolios.

Learn basic business modeling including cash flows, investments, annuities, loan amortization, and more using Google Sheets.

Apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.

In this Power BI case study you’ll play the role of a junior trader, analyzing mortgage trading and enhancing your data modeling and financial analysis skills.

Learn to analyze financial statements using Python. Compute ratios, assess financial health, handle missing values, and present your analysis.

Learn how bonds work and how to price them and assess some of their risks using the numpy and numpy-financial packages.

Learn about GARCH Models, how to implement them and calibrate them on financial data from stocks to foreign exchange.

Learn how to access financial data from local files as well as from internet sources.

Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest rate changes.

Learn business valuation with real-world applications and case studies using discounted cash flows (DCF).

Step into the role of CFO and learn how to advise a board of directors on key metrics while building a financial forecast.