Python Finance: Stock Analysis & Data Fundamentals

Interested in learning how to analyze stocks and financial data using Python? Look no further than our "Python Finance: Stock Analysis & Data Fundamentals" course!

This course is designed for intermediate to advanced Python developers who want to dive deeper into financial analysis and data. We'll start by introducing you to the fundamentals of finance and data analysis, including concepts such as stocks, investments, and portfolio management. You'll also learn how to use Python libraries such as NumPy, Pandas, and Matplotlib to analyze and visualize financial data.

Next, we'll dive into more advanced topics, such as using APIs to gather financial data, analyzing stock prices, and creating trading algorithms. You'll learn how to use machine learning techniques to predict stock prices, as well as how to backtest your trading algorithms using historical data.

Throughout the course, you'll work on several real-world projects that will allow you to apply your knowledge in a practical way. You'll analyze stock data for companies such as Apple, Tesla, and Amazon, and create your own trading strategies based on your analysis.

So whether you're a finance professional looking to expand your programming skills or a Python developer looking to break into finance, this course is for you. By the end of the course, you'll be able to confidently analyze and interpret financial data using Python, making you a valuable asset to any team in the finance industry.

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.