Introdução ao Python para finanças
Desenvolva habilidades em Python para impulsionar sua carreira financeira com listas e visualizações.
Siga vídeos curtos conduzidos por instrutores especializados e 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 sobre modelagem financeira no Excel, incluindo fluxo de caixa, análise de cenários, valor temporal e orçamento de capital.
Learn essential finance math skills with practical Excel exercises and real-world examples.
Aprenda a realizar análises financeiras no Power BI ou aplique qualquer habilidade financeira existente usando as visualizações de dados do Power BI.
Build on top of your Python skills for Finance, by learning how to use datetime, if-statements, DataFrames, and more.
Saiba como preparar dados de solicitação de crédito, aplicar machine learning e regras de negócios para reduzir riscos e garantir a lucratividade.
Learn to implement custom trading strategies in Python, backtest them, and evaluate their performance!
Learn essential data structures such as lists and data frames and apply that knowledge directly to financial examples.
Evaluate portfolio risk and returns, construct market-cap weighted equity portfolios and learn how to forecast and hedge market risk via scenario generation.
Using Python and NumPy, learn the most fundamental financial concepts.
Learn basic business modeling including cash flows, investments, annuities, loan amortization, and more using Google Sheets.
Aprenda sobre gerenciamento de risco, valor em risco e muito mais aplicado à crise financeira de 2008 usando Python.
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 calculate meaningful measures of risk and performance, and how to compile an optimal portfolio for the desired risk and return trade-off.
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.
Learn how to build a graphical dashboard with Google Sheets to track the performance of financial securities.
Learn business valuation with real-world applications and case studies using discounted cash flows (DCF).
Learn about how dates work in R, and explore the world of if statements, loops, and functions using financial examples.
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.
Apply your finance and R skills to backtest, analyze, and optimize financial portfolios.
Learn about GARCH Models, how to implement them and calibrate them on financial data from stocks to foreign exchange.
Apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.
Work with risk-factor return series, study their empirical properties, and make estimates of value-at-risk.
Learn to analyze financial statements using Python. Compute ratios, assess financial health, handle missing values, and present your analysis.
Specify and fit GARCH models to forecast time-varying volatility and value-at-risk.
Apply financial analysis in KNIME with real-world data, enhancing data preparation and workflow skills.
Step into the role of CFO and learn how to advise a board of directors on key metrics while building a financial forecast.
Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest rate changes.