Tesla Stock Price Prediction using Facebook Prophet from Coursera

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.

What's inside

Syllabus

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Read about what's good

what should give you pause

and possible dealbreakers

Teaches learners how to forecast future stock prices, a valuable skill in the finance industry

Led by Abhishek Jha, a recognized expert in stock forecasting

Emphasizes hands-on learning with exercises that implement forecasting models

Requires some prior knowledge of Python and machine learning, which may be a barrier for beginners

Focuses on forecasting Tesla stock prices only, which may limit its applicability to other stocks

Reviews summary

Practical stock price prediction with prophet

According to students, this course offers a fantastic, hands-on introduction to using Facebook Prophet for stock price prediction. Learners frequently praise its clear explanations and step-by-step guidance through practical coding. A standout feature is the automation script, which many found incredibly useful for quickly applying the model to other stocks. While some suggest prior Python and data analysis knowledge is beneficial, it's generally considered a concise and efficient project, ideal for those seeking a quick skill-build. However, some learners noted the model's predictive accuracy for real-world scenarios is limited, and its depth on advanced techniques is introductory. The course delivers on its promise as a quick, practical project.

Automates the prediction process, saving time.

"The automation part at the end was a brilliant touch, saving so much time. Highly recommend for anyone looking to quickly get into stock prediction."

"The automation script is super useful. This is exactly what I needed to get started with financial time series forecasting."

"I can now apply this to other stocks easily thanks to the automation."

Practical, step-by-step coding with clear guidance.

"This course was a fantastic introduction to using Facebook Prophet for stock price forecasting. The instructor's explanations were very clear and easy to follow. I appreciated the step-by-step guidance, especially with the hands-on coding."

"Absolutely loved this project! It’s concise and gets straight to the point. The instructor guides you perfectly through setting up the environment, fetching data, applying Prophet, and even a practical way to evaluate."

"Excellent quick project! Learned how to use Facebook Prophet effectively. The hands-on approach is fantastic."

Data sources work best for North America.

"The 'North America region' note at the end is a significant limitation for me, as I'm in Europe and found some data sources less accessible."

"Note: This course works best for learners who are based in the North America region."

Requires basic Python and data analysis skills.

"I found the pace a bit too fast for a complete beginner. Some prior knowledge of Python and data analysis libraries like Pandas is definitely assumed, which wasn't explicitly stated as a prerequisite."

"As a beginner in ML but with some Python experience, this was perfect. It wasn't overwhelming and provided a clear path to building a functional model."

"While the steps are easy to follow, I found the explanations sometimes lacking depth."

Good introduction, but limited real-world accuracy.

"My only minor gripe is that for truly accurate predictions, one would need more advanced techniques beyond just Prophet, but for a 1.5-hour course, it delivered on its promise."

"Disappointed. The predictions were not accurate at all, which makes the whole exercise seem pointless."

"I think a bit more theory on time series or Prophet's underlying assumptions would have been beneficial for a deeper understanding..."

"The model's limitations regarding real-world stock volatility should have been emphasized more."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Tesla Stock Price Prediction using Facebook Prophet with these activities:

Read and summarize key chapters from Data Mining Techniques and Applications

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Build a strong theoretical understanding of the key concepts and algorithms in data mining.

View Data Mining and Analysis: Fundamental Concepts... on Amazon

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Read chapters 2, 3, and 4 of Data Mining Techniques and Applications
Write a summary of each chapter, highlighting the key concepts and algorithms
Identify the relationships between the different concepts and algorithms

Follow a tutorial on using the Facebook Prophet library

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Gain hands-on experience with the Facebook Prophet library and time series forecasting techniques.

Browse courses on Facebook Prophet

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Find a tutorial on using the Facebook Prophet library
Follow the tutorial and implement the Facebook Prophet model
Evaluate the results of the model and identify areas for improvement

Complete practice problems on time series forecasting

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Strengthen your understanding of time series forecasting concepts and techniques through practice.

Browse courses on Time Series Forecasting

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Find a set of practice problems on time series forecasting
Solve the practice problems using the concepts and algorithms covered in the course
Check your solutions and identify areas where you need to improve

Two other activities

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Build a machine learning model to predict the stock price of a company

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Apply your knowledge of machine learning to a real-world problem and develop practical skills.

Browse courses on Machine Learning

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Choose a company and collect historical stock price data
Preprocess and analyze the data to identify trends and patterns
Build and train a machine learning model to predict future stock prices
Evaluate the performance of the model and make adjustments as needed

Participate in a machine learning competition related to time series forecasting

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Gain experience with real-world data and challenge yourself against other learners.

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Find a machine learning competition related to time series forecasting
Read the competition rules and familiarize yourself with the data
Build and submit a model to the competition
Track your progress and iterate on your model to improve its performance

Career center

Learners who complete Tesla Stock Price Prediction using Facebook Prophet will develop knowledge and skills that may be useful to these careers:

Data Analyst

A Data Analyst uses statistical and modeling techniques to extract meaningful insights from data. This course can help someone in this role by providing them with a solid foundation in machine learning and forecasting techniques. The course also covers data visualization techniques, which are essential for presenting data insights in a clear and concise manner.

See salaries and explore the career path for Data Analyst

Financial Analyst

A Financial Analyst uses financial data to make investment recommendations. This course can help someone in this role by providing them with a solid foundation in machine learning and forecasting techniques. The course also covers stock analysis techniques, which are essential for evaluating the financial health of a company.

See salaries and explore the career path for Financial Analyst

Investment Analyst

An Investment Analyst uses financial data to make investment recommendations. This course can help someone in this role by providing them with a solid foundation in machine learning and forecasting techniques. The course also covers stock analysis techniques, which are essential for evaluating the financial health of a company.

See salaries and explore the career path for Investment Analyst

Quantitative Analyst

A Quantitative Analyst uses mathematical and statistical models to analyze financial data. This course can help someone in this role by providing them with a solid foundation in machine learning and forecasting techniques. The course also covers financial modeling techniques, which are essential for developing quantitative models.

See salaries and explore the career path for Quantitative Analyst

Risk Analyst

A Risk Analyst uses financial data to identify and mitigate risks. This course can help someone in this role by providing them with a solid foundation in machine learning and forecasting techniques. The course also covers risk management techniques, which are essential for identifying and mitigating risks.

See salaries and explore the career path for Risk Analyst

Market Research Analyst

A Market Research Analyst uses data to understand market trends. This course can help someone in this role by providing them with a solid foundation in machine learning and forecasting techniques. The course also covers data visualization techniques, which are essential for presenting market research insights in a clear and concise manner.

See salaries and explore the career path for Market Research Analyst

Data Scientist

A Data Scientist uses machine learning and statistical techniques to solve business problems. This course can help someone in this role by providing them with a solid foundation in machine learning and forecasting techniques. The course also covers data visualization techniques, which are essential for presenting data insights in a clear and concise manner.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

A Machine Learning Engineer builds and deploys machine learning models. This course can help someone in this role by providing them with a solid foundation in machine learning and forecasting techniques. The course also covers software engineering techniques, which are essential for building and deploying machine learning models.

See salaries and explore the career path for Machine Learning Engineer

Software Engineer

A Software Engineer builds and maintains software applications. This course may be useful for someone in this role by providing them with a solid foundation in machine learning. The course also covers software engineering techniques, which are essential for building and maintaining software applications.

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Product Manager

A Product Manager develops and manages products. This course may be useful for someone in this role by providing them with a solid foundation in machine learning. The course also covers product management techniques, which are essential for developing and managing products.

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Marketing Manager

A Marketing Manager develops and implements marketing campaigns. This course may be useful for someone in this role by providing them with a solid foundation in machine learning. The course also covers marketing techniques, which are essential for developing and implementing marketing campaigns.

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Sales Manager

A Sales Manager develops and implements sales strategies. This course may be useful for someone in this role by providing them with a solid foundation in machine learning. The course also covers sales techniques, which are essential for developing and implementing sales strategies.

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Business Analyst

A Business Analyst helps businesses solve problems and improve performance. This course may be useful for someone in this role by providing them with a solid foundation in machine learning. The course also covers business analysis techniques, which are essential for solving business problems and improving performance.

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Financial Advisor

A Financial Advisor provides financial advice to individuals and businesses. This course may be useful for someone in this role by providing them with a solid foundation in machine learning. The course also covers financial planning techniques, which are essential for providing financial advice to individuals and businesses.

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Insurance Agent

An Insurance Agent sells insurance policies to individuals and businesses. This course may be useful for someone in this role by providing them with a solid foundation in machine learning. The course also covers insurance sales techniques, which are essential for selling insurance policies to individuals and businesses.

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