![]() ![]() Whether you're an aspiring financial professional, data scientist, quant-oriented or simply eager to expand your knowledge, this course will empower you to extract valuable insights from financial data and make informed decisions.Harness the power of Python, the industry's leading programming language for data analysis and automation. It helps to have a basic understanding of the stock market but it isn't mandatoryĪre you ready to revolutionize your understanding of Finance and Data Science? Dive into the world of Python for Finance and Data Science, where cutting-edge technology meets the dynamic field of financial analysis.In this comprehensive course, I will guide you through the essential principles and practical techniques that will supercharge your financial analysis skills. Understand how you can leverage Algebra to make powerful computations Learn to use the powerful intersection of Pandas & SQL to build, maintain and leverage Databases Leverage Algebra concepts to do powerful calculations ![]() Optimize weights by using the concept of the Efficient Frontier Understand the difference between Log returns and returns Learn about best practices and relevant practice advice working with financial data Visualize your data in interactive Dashboards Have an outstanding technical skillset to apply for a quant job in a financial institution or data based companyīe able to perform in depth Investment Analysis Understand and Optimize the Return and Risk profile of your PortfolioĬompare stocks and Portfolio in terms of their Sharpe ratio Learn Python Programming and apply Financial Data Science to REAL data - from Beginner to Professionalīe a PRO in Data Analysis in specific Financial Dataīuild and Backtest Trading Strategies with Python Language: English | Size: 3.41 GB | Duration: 8h 50m Free Download Python For Finance And Data Science
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