Coursera Project Network
Tesla Stock Price Prediction using Facebook Prophet
Coursera Project Network

Tesla Stock Price Prediction using Facebook Prophet

Taught in English

Abhishek Jha

Instructor: Abhishek Jha

6,825 already enrolled

Included with Coursera Plus

Guided Project

Learn, practice, and apply job-ready skills with expert guidance

Beginner level

Recommended experience

2 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.4

(110 reviews)

What you'll learn

  • 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

Details to know

Shareable certificate

Add to your LinkedIn profile

Guided Project

Learn, practice, and apply job-ready skills with expert guidance

Beginner level

Recommended experience

2 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.4

(110 reviews)

See how employees at top companies are mastering in-demand skills

Placeholder

Learn, practice, and apply job-ready skills in less than 2 hours

  • Receive training from industry experts
  • Gain hands-on experience solving real-world job tasks
  • Build confidence using the latest tools and technologies
Placeholder

About this Guided Project

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

Recommended experience

It is recommended to have a basic understanding of Python

9 project images

Instructor

Instructor ratings
4.0 (11 ratings)
Abhishek Jha
Coursera Project Network
22 Courses167,524 learners

Offered by

How you'll learn

  • Skill-based, hands-on learning

    Practice new skills by completing job-related tasks.

  • Expert guidance

    Follow along with pre-recorded videos from experts using a unique side-by-side interface.

  • No downloads or installation required

    Access the tools and resources you need in a pre-configured cloud workspace.

  • Available only on desktop

    This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

Showing 3 of 110

4.4

110 reviews

  • 5 stars

    63.63%

  • 4 stars

    22.72%

  • 3 stars

    5.45%

  • 2 stars

    4.54%

  • 1 star

    3.63%

AJ
5

Reviewed on Apr 7, 2022

AB
4

Reviewed on Jun 15, 2021

KS
5

Reviewed on Dec 4, 2021

New to Machine Learning? Start here.

Placeholder

Open new doors with Coursera Plus

Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions