Python for Finance Investment Fundamentals and Data Analytics 2018


Python for Finance Investment Fundamentals and Data Analytics 2018

.MP4, AVC, 350 kbps, 1280×720 | English, AAC, 128 kbps, 2 Ch | 6h 59m | 1.47 GB
by 365 Careers

Learn Python programming and conduct real-world financial analysis in Python: complete Python training

This course will take you on a journey where you’ll learn how to code in Python. You will learn how to use Python in a real working environment and explore how Python can be applied in the world of Finance to solve portfolio optimization problems. The first part of the course is ideal for beginners and people who want to brush up on their Python skills. And then, once we have covered the basics, we will be ready to tackle financial calculations and portfolio optimization tasks. The Finance block of this course will teach you in-demand, real-world skills employers are looking for. This explains topics such as how to work with Python’s conditional statements, functions, sequences, and loops, build investment portfolios, and more.

This course will teach you Python programming and how to conduct real-world financial analysis in Python-in short, complete Python training. It is packed with step-by-step instructions, extensive case studies, training, and more. To use this course, you will need to install Anaconda; we show you how to do this in one of the first lectures in the course.

What You Will Learn

Learn how to code in Python
Take your career to the next level
Work with Python’s conditional statements, functions, sequences, and loops
Work with scientific packages, such as NumPy
Understand how to use the Pandas data analysis toolkit
Description graphs with MatDescriptionlib
Use Python to solve real-world tasks
Get a job as a data scientist with Python
Acquire solid financial acumen
Carry out in-depth investment analysis
Build investment portfolios
Calculate risk and return for individual securities
Calculate risk and return for investment portfolios
Apply best practices when working with financial data
Use univariate and multivariate regression analysis
Understand the Capital Asset Pricing model
Compare securities in terms of their Sharpe ratio
Perform Monte Carlo simulations
Learn how to price options by applying the Black Scholes formula
Be comfortable applying for a developer job in a financial institution


https://rapidgator.net/file/7680885f9bb0bcc2d3c39cfec66b308a/Python.for.Finance.Investment.Fundamentals.and.Data.Analytics.2018.rar.html

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