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Coursera Project Network

Tesla Stock Price Prediction using Facebook Prophet

Coursera Project Network via Coursera

Overview

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In this 1.5-hour long project-based course, you will learn how to build a Facebook Prophet Machine learning model in order to forecast the price of Tesla 30 days into the future. We will also visualize the historical performance of Tesla through graphs and charts using Plotly express and evaluate the performance of the model against real data using Google Finance in Google Sheets. We will also dive into a brief stock analysis of Tesla and we will discuss PE ratio, EPS, Beta, Market cap, Volume and price range of Tesla. We will end the project by automating the forecasting process in such a way that you will get the forecast of any of your favourite stock with all necessary visualization within a few seconds of uploading the data. By the end of this project, you will be confident in analyzing, visualizing and forecasting the price of any stock of your choice.

Disclaimer: This project is intended for educational purpose only and is by no means a piece of Financial advice. Please consult your financial advisor before investing in stocks.

Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Syllabus

  • Project Overview
    • In this 1.5 hour long project-based course, we will be building a Facebook Prophet Machine learning model in order to forecast the price of Tesla 30 days into the future. We will begin by importing all the necessary libraries. We will then download the latest dataset from Yahoo Finance. We will also visualize the historical performance of Tesla through graphs and charts using Plotly express. We will then create a Facebook Prophet Machine learning model and forecast the stock price of Tesla 30 days into the future. We will then evaluate the performance of the model against real data using Google Finance in Google Sheets. We will also dive into a brief stock analysis of Tesla and we will discuss PE ratio, EPS, Beta, Market cap, Volume and price range of Tesla. We will end the project by automating the forecasting process in such a way that you will get the forecast of your favourite stock with all necessary visualization within a few seconds of uploading the data. By the end of this project, you will be confident in analyzing, visualizing and forecasting the price of any stock of your choice.

Taught by

Abhishek Jha

Reviews

4.4 rating at Coursera based on 109 ratings

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