Introdução ao Python para finanças
Desenvolva habilidades em Python para impulsionar sua carreira financeira com listas e visualizações.
Assista a vídeos curtos apresentados por instrutores especializados e depois pratique o que aprendeu com exercícios interativos em seu navegador.
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Ao continuar, você aceita nossos Termos de Uso, nossa Política de Privacidade e que seus dados serão armazenados nos EUA.Desenvolva habilidades em Python para impulsionar sua carreira financeira com listas e visualizações.
Aprenda modelagem financeira no Excel, incluindo fluxo de caixa, análise de cenários, valor temporal e orçamento de capital.
Build on top of your Python skills for Finance, by learning how to use datetime, if-statements, DataFrames, and more.
Realize análises financeiras no Power BI ou aplique qualquer habilidade financeira existente usando visualizações de dados do Power BI.
Learn essential data structures such as lists and data frames and apply that knowledge directly to financial examples.
Saiba como preparar dados de solicitação de crédito, aplicar ML e regras de negócios para reduzir riscos e garantir a lucratividade.
Evaluate portfolio risk and returns, construct market-cap weighted equity portfolios and learn how to forecast and hedge market risk via scenario generation.
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.
Learn about how dates work in R, and explore the world of if statements, loops, and functions using financial examples.
Learn essential finance math skills with practical Excel exercises and real-world examples.
Using Python and NumPy, learn the most fundamental financial concepts.
Aprenda sobre gerenciamento de risco, valor em risco e mais, aplicados à crise financeira de 2008 usando Python.
You will use Net Revenue Management techniques in Excel for a Fast Moving Consumer Goods company.
In this course, youll learn how to import and manage financial data in Python using various tools and sources.
Discover how to use the income statement and balance sheet in Power BI
Learn key financial concepts such as capital investment, WACC, and shareholder value.
Learn how to build a graphical dashboard with Google Sheets to track the performance of financial securities.
Learn basic business modeling including cash flows, investments, annuities, loan amortization, and more using Google Sheets.
Learn the basics of cash flow valuation, work with human mortality data and build life insurance products in R.
Learn how to access financial data from local files as well as from internet sources.
Learn to analyze financial statements using Python. Compute ratios, assess financial health, handle missing values, and present your analysis.
Learn business valuation with real-world applications and case studies using discounted cash flows (DCF).
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 about GARCH Models, how to implement them and calibrate them on financial data from stocks to foreign exchange.
Learn how bonds work and how to price them and assess some of their risks using the numpy and numpy-financial packages.
Apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.
Apply your finance and R skills to backtest, analyze, and optimize financial portfolios.
Step into the role of CFO and learn how to advise a board of directors on key metrics while building a financial forecast.
Work with risk-factor return series, study their empirical properties, and make estimates of value-at-risk.