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Abhishek Jha
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.
Read more
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.
Read more
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/g2sga9/tesla
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What's inside
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.
Good to know
Good to know
Know what's good ,
what to watch for , 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
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Reviews summary
Stock price prediction with facebook prophet
Learners say this course is a good introduction to stock price prediction using Facebook Prophet, especially for beginners. Positive remarks include that the course is well-designed, clear, and concise. Many students appreciate the real-world examples and hands-on project. However, others note it is superficial and could be improved with more in-depth content, such as hyperparameter tuning and a deeper dive into the Prophet model.
Relevant examples and applications.
"This is a great project that focuses on using machine learning to forecast stock prices using real-world examples and financial terminology."
Practical experience with a real-world project.
"This was a very well designed and guided project"
"I've learnt by doing which support me to engage the project."
Suitable for students new to stock price prediction and Facebook Prophet.
"Beginner-friendly, clearly explained, and concise intro to FB Prophet."
"It start's from basic and I think well mantain course to automate process in the end."
Insufficient guidance on more advanced topics.
"Nice intro for beginners but not for anyone more advanced."
"the walk through was quite limited with regards to Prophet under the hood."
Lacks depth and advanced content.
"Its good if you have no idea about how to use python por: plotly, pandas, prophet etc."
"Would have been better to showcase an example where it predicts an inflexion in the stock, not a monothonical extrapolation (which anyone could do by naked eye)."
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
Show steps
Build a strong theoretical understanding of the key concepts and algorithms in data mining.
View
Data Mining and Analysis: Fundamental Concepts...
on Amazon
Show steps
-
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
Show steps
Gain hands-on experience with the Facebook Prophet library and time series forecasting techniques.
Browse courses on
Facebook Prophet
Show steps
-
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
Show steps
Strengthen your understanding of time series forecasting concepts and techniques through practice.
Browse courses on
Time Series Forecasting
Show steps
-
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
Expand to see all activities and additional details
Show all five activities
Build a machine learning model to predict the stock price of a company
Show steps
Apply your knowledge of machine learning to a real-world problem and develop practical skills.
Browse courses on
Machine Learning
Show steps
-
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
Show steps
Gain experience with real-world data and challenge yourself against other learners.
Show steps
-
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
Read and summarize key chapters from Data Mining Techniques and Applications
Show steps
Build a strong theoretical understanding of the key concepts and algorithms in data mining.
View
Data Mining and Analysis: Fundamental Concepts...
on Amazon
Show steps
Show steps
Show steps
- 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
Show steps
Gain hands-on experience with the Facebook Prophet library and time series forecasting techniques.
Browse courses on
Facebook Prophet
Show steps
Show steps
Show steps
- 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
Show steps
Strengthen your understanding of time series forecasting concepts and techniques through practice.
Browse courses on
Time Series Forecasting
Show steps
Show steps
Show steps
- 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
Expand to see all activities and additional details
Show all five activities
Build a machine learning model to predict the stock price of a company
Show steps
Apply your knowledge of machine learning to a real-world problem and develop practical skills.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- 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
Show steps
Gain experience with real-world data and challenge yourself against other learners.
Show steps
Show steps
Show steps
- 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
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.
Investment 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.
Financial 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.
Risk 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.
Quantitative 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.
Market Research 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.
Data Scientist
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.
Machine Learning Engineer
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.
Software 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.
Product Manager
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.
Marketing Manager
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.
Sales Manager
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.
Business Analyst
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.
Financial Advisor
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.
Insurance Agent
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.
For more career information including salaries, visit:
OpenCourser.com/course/g2sga9/tesla
Reading list
We've selected 12 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Tesla Stock Price Prediction using Facebook Prophet.
Save
This widely used textbook provides a comprehensive overview of forecasting models and methods. It is helpful for gaining a strong foundation in the subject.
Save
This comprehensive reference covers the theoretical and practical aspects of time series analysis and forecasting. It is valuable for understanding the fundamentals of the subject and for learning advanced techniques.
Save
This textbook provides a comprehensive overview of time series econometrics. It is valuable for those seeking a strong foundation in the subject.
This timeless classic provides a comprehensive guide to value investing. It is essential reading for those interested in the fundamental analysis aspects of the course topic.
This collection of interviews with successful traders offers insights into the psychology and strategies of top performers in the field. It is valuable for those seeking inspiration and guidance from experienced professionals.
This comprehensive textbook provides a detailed overview of security analysis and valuation techniques. It is valuable as a reference for those interested in the theoretical foundations of the course topic.
This advanced textbook provides a detailed overview of financial forecasting techniques. It is suitable for those seeking an in-depth understanding of the subject.
This specialized textbook focuses on econometric analysis of seasonal time series. It is valuable for those interested in the seasonal aspects of the course topic.
This classic work on technical analysis provides a comprehensive overview of chart patterns and indicators. It is useful as a reference for those interested in understanding the basics of technical analysis.
Save
This specialized book explores time series analysis in the context of financial data. It is valuable for those interested in the financial applications of the course material.
This beginner-friendly book provides a comprehensive introduction to technical analysis in trading and investing. It is valuable for those interested in getting started with this aspect of the course topic.
Save
This advanced textbook provides a rigorous treatment of econometric time series analysis. It is appropriate for those seeking an in-depth understanding of the statistical foundations of the subject.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/g2sga9/tesla
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Effort
2 hours
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Abhishek Jha
Language
English
Good to know
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
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