Python Financial Analysis: Investment & Data Fundamentals

What you'll learn

Perform Financial Analysis

Learn How To Code In Python

Calculate Risk And Return Of Investment Portfolios

Apply best Practices When Working With Financial Data

Learn How To Get Into Cryptocurrency And Bitcoin Investing

Python Financial Stock Analysis

Stock Fundamentals

Investment Fundamentals

Python Fundamentals

Learn Format And Display Stock Data In Microsoft Excel

Build Investment Portfolios

Requirements

Computer or Laptop

Internet Connection

Description

Do you want to get into Stock Investing

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 bners 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, 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 Bners



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