Tesla Stock Price Prediction using Facebook Prophet

4.5
stars
10 ratings
Offered By
Coursera Project Network
In this Free Guided Project, you will:

Build a Facebook Prophet Model & Forecast the stock price of Tesla 30 days into the future

Visualize data using Plotly express & Evaluate Forecast using Google Finance in Google Sheets

Automate the stock forecasting process in order to get the forecast of any of your favourite stock within seconds

Showcase this hands-on experience in an interview

Clock2 hours
BeginnerBeginner-friendly
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

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.

Requirements

It is recommended to have a basic understanding of Python

Skills you will develop

Time Series ForecastingMachine LearningData Visualization (DataViz)facebook prophetplotly express

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Importing all the necessary libraries

  2. Importing the dataset from Yahoo Finance

  3. Data Visualization using Plotly express

  4. Data Preparation & Modelling

  5. Forecasting

  6. Forecast Evaluation using Google Finance in Google Sheets

  7. Conclusion-  Stock Analysis of Tesla using Yahoo Finance

  8. Automating stock forecasting- for other stocks

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Reviews

TOP REVIEWS FROM TESLA STOCK PRICE PREDICTION USING FACEBOOK PROPHET

View all reviews

Frequently asked questions

Frequently Asked Questions

More questions? Visit the Learner Help Center.