Python for Finance: Investment Fundamentals and Data Analytics – 365 Careers

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Summary

• Archive: What you'll learnLearn how to code in PythonTake your career to the next levelWork with Python’s conditional statements, functions, sequences, and loopsWork with scientific packages, like NumPyUnderstand how to use the data analysis toolkit, PandasPlot graphs with MatplotlibUse Python to solve real-world tasksGet a job as a data scientist with PythonAcquire solid financial acumenCarry out in-depth investment analysisBuild investment portfoliosCalculate risk and return of individual securitiesCalculate risk and return of investment portfoliosApply best practices when working with financial dataUse univariate and multivariate regression analysisUnderstand the Capital Asset Pricing ModelCompare securities in terms of their Sharpe ratioPerform Monte Carlo simulationsLearn how to price options by applying the Black Scholes formulaBe comfortable applying for a developer job in a financial institutionDescriptionDo you want to learn how to use Python in a working environment?Are you a young professional interested in a career in Data Science?

• Would you like to explore how Python can be applied in the world of Finance and solve portfolio optimization problems?If so, then this is the right course for you!We are proud to present Python for Finance: Investment Fundamentals and Data Analytics – oneof the mostinteresting and complete courses we have created so far.

• It took our team slightly over four months to create this course, but now, it is ready and waiting for you.An exciting journey from Beginner to Pro.If you are a complete beginner and you know nothing about coding, don’t worry!

• We start from the very basics.

• The first part of the course is ideal for beginners and people who want to brush up on their Python skills.

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