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Python for Finance: Investment Fundamentals and Data Analytics [Video]

More Information
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 
  • Plot graphs with Matplotlib
  • 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
About

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.

The code bundle for this video course is available at https://github.com/PacktPublishing/Python-for-Finance-Investment-Fundamentals-and-Data-Analytics

Style and Approach

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.

Features
  • Learn Python programming.
  • Learn to conduct Real - World Financial Analysis in Python.
  • A practical tutorial designed for programming beginners and aspiring data scientists.
Course Length 6 hours 59 minutes
ISBN 9781789618976
Date Of Publication 24 Oct 2018
Why Python?
Why Jupyter?
Installing Python and Jupyter
Jupyter’s Interface – the Dashboard
Jupyter’s Interface – Prerequisites for Coding
Python 2 vs Python 3: What's the Difference?
Obtaining the Efficient Frontier in Python – Part I
Obtaining the Efficient Frontier in Python – Part II
Obtaining the Efficient Frontier in Python – Part III

Authors

365 Careers

365 Careers

The company's courses have been taken by more than 203,000 students in 204 countries. People working at world-class firms such as Apple, PayPal, and Citibank have completed 365 Careers training. By choosing 365 Careers, you make sure you will learn from proven experts who have a passion for teaching, and can to take you from beginner to pro in the shortest possible amount of time. If you want to become a financial analyst, a finance manager, an FP&A analyst, an investment banker, a business executive, an entrepreneur, a business intelligence analyst, a data analyst, or a data scientist, 365 Careers' courses are the perfect place to start.