Python Financial Analysis: Investment & Data Fundamentals
Learn Python Financial Analysis Using Real-World Financial Data and Python Programming
Python Financial Analysis: Investment & Data Fundamentals udemy course
Learn Python Financial Analysis Using Real-World Financial Data and Python Programming
What you'll learn:
- Learn how to code in Python
- Take your career to the next level
- Be able to work with Python’s conditional statements, functions, sequences, and loops
- Work with scientific packages, like NumPy
- Understand how to use the data analysis toolkit, Pandas
- 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 of individual securities
- Calculate risk and return of 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
Requirements:
- You’ll need to install Anaconda. We will show you how to do it in one of the first lectures of the course.
- All software and data used in the course are free.
Description:
Do you want to get into Python Financial Programming?
Do you want to get into Stock Investing? Python Financial Analysis: Investment & Data Fundamentals Udemy
Then this course is all you need to get started! In this course you will learn Financial Stock Analysis using the Python programming language and the Yahoo Finance Python library. This course covers:
What is a stock?
Stock Types
How To Buy Stocks?
Supply And Demands Drives Prices
What Is A Portfolio?
Building A Portfolio
Investment Goals
Risk vs Reward
Python Programming Fundamentals
Fetching Of Stock Data
Creation of Stock Charts
Stock Analysis
Stock Data Normalization.
The implementation will take place within the Jupyter Notebook which we will install using the Anaconda data science platform.
This course is for beginners and people with minor experience, this means that we will go through all the fundamentals to build a solid foundation that allow you to start Python programming using real company stock data. Company data included in this course is Tesla, Apple, Microsoft, Amazon and Xpeng. The course is build from the ground up to ensure that every section builds on top of what the previous sections has taught.
Bonus: As a bonus this course also includes three lectures on how to get started with Crypto investing and Bitcoins.
Learn how to buy your first bitcoins. These lectures will teach you how to use Coinbase and Electrum. During the bonus lectures we will walk through the following three steps.
Create your own wallet
Buy bitcoins from a trusted broker
Transfer the coins to your wallet.
Who this course is for:
- Python Developers
- Programmers Who Want To Combine Programming and Finance
- Finance Graduates And Professionals
- Data Scientists
- Programming Beginners
- Python Object Oriented Programming (OOPs)
- High End Beauty Retouching in Photoshop 2.0
- API: RESTful API testing for complete beginners. POSTMAN
- 3-Step Writing System: Blogging & Writing Secrets
Course Details:
- 2.5 hours on-demand video
- Full lifetime access
- Access on mobile and TV
- Assignments
- Certificate of completion
Python Financial Analysis: Investment & Data Fundamentals udemy free download
Learn Python Financial Analysis Using Real-World Financial Data and Python Programming
Demo Link: https://www.udemy.com/course/python-financial-analysis-investment-data-fundamentals/
