Create a stock price data set
Build a model in Prophet to forecast stock prices
Optimize model performance through hyperparameter tuning
Time series forecasting is a common data science task that helps organizations with resource allocation, demand planning and strategy management. In this project, you'll get hands-on experience with Facebook's open source library Prophet and you will be equipped with the knowledge to carry out fast, interpretable and reliable forecasts of business time series. You will begin by creating a data set of historical stock prices for Microsoft in Google Sheets. You will then learn how to load the sheet in Python where you'll subsequently explore and preprocess the data set. After that, you will dive right into Prophet. You'll become familiar with the key features of Prophet, and why it is preferred over other libraries. You'll learn about the basic forecasting procedure, options for model construction, adding custom seasonalities and holidays, and hyperparameter tuning for obtaining optimal results. This Guided Project was created by a Coursera community member.
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Create your own time series data set in Google Sheets
Link a Google Sheet to a Python program in the Google Colab environment
Create and forecast with a simple Prophet model
Tweak the model's parameters in Prophet to improve your forecasts by adding custom seasonalities and holidays
Automatically tune your model’s parameter to optimize the model’s performance so you get the best results for your data set
Save your model for future use, and retrain it if needed, for example when future data arrives
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
What will I get if I purchase a Guided Project?
By purchasing a Guided Project, you'll get everything you need to complete the Guided Project including access to a cloud desktop workspace through your web browser that contains the files and software you need to get started, plus step-by-step video instruction from a subject matter expert.
Are Guided Projects available on desktop and mobile?
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Who are the instructors for Guided Projects?
Guided Project instructors are subject matter experts who have experience in the skill, tool or domain of their project and are passionate about sharing their knowledge to impact millions of learners around the world.
Can I download the work from my Guided Project after I complete it?
You can download and keep any of your created files from the Guided Project. To do so, you can use the “File Browser” feature while you are accessing your cloud desktop.
What is the refund policy?
Is financial aid available?
Financial aid is not available for Guided Projects.
Can I audit a Guided Project and watch the video portion for free?
Auditing is not available for Guided Projects.
How much experience do I need to do this Guided Project?
At the top of the page, you can press on the experience level for this Guided Project to view any knowledge prerequisites. For every level of Guided Project, your instructor will walk you through step-by-step.
Can I complete this Guided Project right through my web browser, instead of installing special software?
Yes, everything you need to complete your Guided Project will be available in a cloud desktop that is available in your browser.
What is the learning experience like with Guided Projects?
You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.
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