Project walkthrough – Stock Prediction

Watch Dataquest's founder and CEO, Vik Paruchuri, as he does a deep dive on building a successful data project for your portfolio.

In this walkthrough, we'll be live-coding a stock price prediction project.  We'll download historical stock prices from Yahoo Finance, explore them, and then build a model that can make predictions. Along the way, we'll learn what the key elements of a successful project are, and how to present your project effectively. He'll cover:

A look at a complete project on Github

• What makes a good project?
• Key elements of a project

Live project walkthrough

• Downloading stock prices
• Doing initial exploration and data visualization
• Combining multiple stocks into one DataFrame
• Predicting stock prices using previous day prices
• Building a backtesting system to evaluate the accuracy

How to upload, present, etc.

• How to upload your project to Github
• How to present your project effectively

More in this series:

• Building a data science portfolio
• What employers look for in a portfolio
• Creating your first project
• Project walkthrough – Stock Prediction
• Publishing your project on GitHub
• Presenting and marketing your portfolio