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Ryan Ahmed
In this 1-hour long project-based course, you will be able to:
- Understand the theory and intuition behind Facebook times series forecasting tool
- Import Key libraries, dataset and visualize dataset
Read more
In this 1-hour long project-based course, you will be able to:
- Understand the theory and intuition behind Facebook times series forecasting tool
- Import Key libraries, dataset and visualize dataset
Read more
In this 1-hour long project-based course, you will be able to:
- Understand the theory and intuition behind Facebook times series forecasting tool
- Import Key libraries, dataset and visualize dataset
- Build a time series forecasting model using Facebook Prophet to predict future product prices
- Compile and fit time series forecasting model to training data
- Assess trained model performance
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/z1ka8g/predict
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What's inside
Syllabus
Predict Future Product Prices Using Facebook Prophet
In this hands-on project, we will train time-series prediction models to predict future product prices. This project could be practically applied in the banking, retail, and healthcare sectors. In this hands-on project we will go through the following tasks: (1) Project overview (2) Import libraries and dataset (3) Explore dataset (4) Prepare the data for Facebook prophet (5) Understand the intuition behind Facebook Prophet (6) Develop model and make predictions - Part A (7) Develop model and make predictions - Part B.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Focuses on practical application in banking, retail, and healthcare sectors, which are key industries using time series forecasting
Taught by Ryan Ahmed, an expert in time series forecasting
Emphasizes hands-on practice with a project-based approach, allowing learners to develop practical skills
Covers foundational concepts and intuition behind Facebook Prophet, ensuring a strong understanding of the underlying techniques
Requires no prior knowledge in time series forecasting, making it accessible to learners from diverse backgrounds
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Reviews summary
Beginner-friendly prophet masterclass
Learners say Facebook Prophet is a beginner-friendly tool for predicting future product prices. This course provides clear instructions and emphasizes practical application with a guided project. While some reviews wish for more in-depth content, most learners find the balance suitable for beginners.
Suitable for learners new to data science and forecasting
"Don't miss it. It will not take more than 2 hours. Worth a shot."
"It is the quickest way for people in non-data science to predict future trends..."
"This course provides very clear and concise instructions..."
Engaging project reinforces learned concepts
"Excellent Way Of Teaching...Every Course Should Be Like This...Live Implementation Of Theory On Ral World Data..And Understanding Its Application "
"It's great to do this project and I am very happy to be a part of the project work."
"Really good hands-on project."
Some learners experience technical issues with Rhyme
"had issues with Rhyme didn't load fbprophet properly..."
"Rhyme gets slow sometimes which is irritating and i would prefer to use my own machine rather."
"Rhyme file not received since 1 month after completion of the project"
May not be suitable for learners seeking advanced forecasting knowledge
"I didin't learn anything about the prophet library, just on command."
"The project should be more extensive."
"This course is totally useless and messy. It just teaches you to run a python package as a black box."
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 Predict Future Product Prices Using Facebook Prophet with these
activities:
Review concepts of time series and forecasting
Show steps
Refresh foundational knowledge of time series and forecasting to enhance understanding of the course content.
Browse courses on
Time Series
Show steps
-
Review key concepts related to time series, including stationarity, seasonality, and trends.
-
Explore different types of time series forecasting techniques and their applications.
Review basic statistics
Show steps
Reinforce understanding of basic statistical practice and principles to support work in the course.
Browse courses on
Statistics
Show steps
-
Revisit key concepts in descriptive statistics, such as measures of central tendency and dispersion.
-
Review the principles of probability and distributions, including the normal distribution and binomial distribution.
-
Practice applying statistical techniques to real-world datasets using statistical software.
Explore online tutorials and resources on Facebook Prophet
Show steps
Expand knowledge of Facebook Prophet by seeking out and working through online tutorials and resources.
Browse courses on
Facebook Prophet
Show steps
-
Search for reputable online tutorials and resources that provide guidance on using Facebook Prophet.
-
Follow the step-by-step instructions in the tutorials to gain hands-on experience with Facebook Prophet.
-
Experiment with different parameters and settings to observe their impact on forecasting results.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice data cleaning and manipulation
Show steps
Enhance data handling skills by working through exercises that involve data cleaning and manipulation.
Browse courses on
Data Preprocessing
Show steps
-
Load and explore a dataset and identify missing values or inconsistencies.
-
Perform data cleaning tasks such as removing duplicate rows, handling missing values, and converting data types.
-
Practice data manipulation techniques, including merging, joining, and filtering data.
Host a study session with classmates
Show steps
Improve understanding and deepen learning by actively engaging with classmates in a dedicated study session.
Show steps
-
Reach out to classmates and schedule a study session.
-
Prepare topics for discussion and review.
-
Take turns presenting key concepts and leading discussions.
-
Engage in group problem-solving and knowledge-sharing.
Organize and summarize course materials
Show steps
Improve retention and understanding by actively organizing and reviewing course materials.
Show steps
-
Compile notes, assignments, and other relevant materials into a central location.
-
Create summaries of key concepts and ideas presented in the course.
-
Review and reinforce understanding of the compiled materials.
Write a blog post on time series forecasting
Show steps
Deepen understanding of time series forecasting by explaining key concepts and techniques in a blog post.
Browse courses on
Time Series Forecasting
Show steps
-
Research and gather information on time series forecasting models, specifically focusing on Facebook Prophet.
-
Outline the key components of a time series forecasting model, including trend, seasonality, and residuals.
-
Write a draft of the blog post, explaining the concepts in a clear and concise manner.
-
Proofread and edit the blog post, ensuring accuracy and clarity.
Develop a time series forecasting model for a real-world dataset
Show steps
Apply knowledge and skills gained in the course by developing a time series forecasting model for a real-world dataset.
Browse courses on
Time Series Forecasting
Show steps
-
Identify a suitable real-world dataset for time series forecasting, such as sales data or stock prices.
-
Explore and analyze the dataset to understand its characteristics and identify patterns.
-
Choose appropriate time series forecasting models, including Facebook Prophet, and train them on the dataset.
-
Evaluate the performance of the trained models and select the best-performing one.
-
Deploy the selected model to make predictions and monitor its performance over time.
Review concepts of time series and forecasting
Show steps
Refresh foundational knowledge of time series and forecasting to enhance understanding of the course content.
Browse courses on
Time Series
Show steps
Show steps
Show steps
- Review key concepts related to time series, including stationarity, seasonality, and trends.
- Explore different types of time series forecasting techniques and their applications.
Review basic statistics
Show steps
Reinforce understanding of basic statistical practice and principles to support work in the course.
Browse courses on
Statistics
Show steps
Show steps
Show steps
- Revisit key concepts in descriptive statistics, such as measures of central tendency and dispersion.
- Review the principles of probability and distributions, including the normal distribution and binomial distribution.
- Practice applying statistical techniques to real-world datasets using statistical software.
Explore online tutorials and resources on Facebook Prophet
Show steps
Expand knowledge of Facebook Prophet by seeking out and working through online tutorials and resources.
Browse courses on
Facebook Prophet
Show steps
Show steps
Show steps
- Search for reputable online tutorials and resources that provide guidance on using Facebook Prophet.
- Follow the step-by-step instructions in the tutorials to gain hands-on experience with Facebook Prophet.
- Experiment with different parameters and settings to observe their impact on forecasting results.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice data cleaning and manipulation
Show steps
Enhance data handling skills by working through exercises that involve data cleaning and manipulation.
Browse courses on
Data Preprocessing
Show steps
Show steps
Show steps
- Load and explore a dataset and identify missing values or inconsistencies.
- Perform data cleaning tasks such as removing duplicate rows, handling missing values, and converting data types.
- Practice data manipulation techniques, including merging, joining, and filtering data.
Host a study session with classmates
Show steps
Improve understanding and deepen learning by actively engaging with classmates in a dedicated study session.
Show steps
Show steps
Show steps
- Reach out to classmates and schedule a study session.
- Prepare topics for discussion and review.
- Take turns presenting key concepts and leading discussions.
- Engage in group problem-solving and knowledge-sharing.
Organize and summarize course materials
Show steps
Improve retention and understanding by actively organizing and reviewing course materials.
Show steps
Show steps
Show steps
- Compile notes, assignments, and other relevant materials into a central location.
- Create summaries of key concepts and ideas presented in the course.
- Review and reinforce understanding of the compiled materials.
Write a blog post on time series forecasting
Show steps
Deepen understanding of time series forecasting by explaining key concepts and techniques in a blog post.
Browse courses on
Time Series Forecasting
Show steps
Show steps
Show steps
- Research and gather information on time series forecasting models, specifically focusing on Facebook Prophet.
- Outline the key components of a time series forecasting model, including trend, seasonality, and residuals.
- Write a draft of the blog post, explaining the concepts in a clear and concise manner.
- Proofread and edit the blog post, ensuring accuracy and clarity.
Develop a time series forecasting model for a real-world dataset
Show steps
Apply knowledge and skills gained in the course by developing a time series forecasting model for a real-world dataset.
Browse courses on
Time Series Forecasting
Show steps
Show steps
Show steps
- Identify a suitable real-world dataset for time series forecasting, such as sales data or stock prices.
- Explore and analyze the dataset to understand its characteristics and identify patterns.
- Choose appropriate time series forecasting models, including Facebook Prophet, and train them on the dataset.
- Evaluate the performance of the trained models and select the best-performing one.
- Deploy the selected model to make predictions and monitor its performance over time.
Career center
Learners who complete Predict Future Product Prices Using Facebook Prophet will develop knowledge and skills
that may be useful to these careers:
Time Series Analyst
Time Series Analyst
A Time Series Analyst uses their knowledge of time series analysis to identify trends and patterns in data. This course can help you become a Time Series Analyst because it teaches you how to use Facebook Prophet to build time series forecasting models. This is a valuable skill for a Time Series Analyst, as it can help you make predictions about future events and make informed decisions about how to allocate resources.
Data Analyst
Data Analyst
A Data Analyst uses their skills to uncover insights from raw data. This course can help you become a Data Analyst because it teaches you how to use Facebook Prophet, a tool for time series forecasting. You will use this tool to find trends and patterns in data, then make predictions about future events. Furthermore, you will learn how to prepare data for modeling, evaluate model performance, and make informed business decisions. All of these skills are essential for a successful Data Analyst.
Quantitative Researcher
Quantitative Researcher
A Quantitative Researcher uses their knowledge of quantitative research to make informed decisions. This course can help you become a Quantitative Researcher because it teaches you how to use Facebook Prophet to build time series forecasting models. This is a valuable skill for a Quantitative Researcher, as it can help you make predictions about future events and make informed decisions about how to allocate resources.
Statistician
Statistician
A Statistician uses their knowledge of statistics to analyze data and make informed decisions. This course can help you become a Statistician because it teaches you how to use Facebook Prophet to build time series forecasting models. This is a valuable skill for a Statistician, as it can help you make predictions about future events and make informed decisions about how to allocate resources.
Quantitative Analyst
Quantitative Analyst
A Quantitative Analyst uses their skills to analyze data and make informed decisions. This course can help you become a Quantitative Analyst because it teaches you how to use Facebook Prophet to build time series forecasting models. This is a valuable skill for a Quantitative Analyst, as it can help you make predictions about future events and make informed decisions about risk.
Risk Manager
Risk Manager
A Risk Manager uses their knowledge of risk management to identify and mitigate risks. This course can help you become a Risk Manager because it teaches you how to use Facebook Prophet to predict future events. This is a valuable skill for a Risk Manager, as it can help you make informed decisions about how to allocate resources and mitigate risks.
Business Analyst
Business Analyst
A Business Analyst uses their knowledge of business and data analysis to help businesses make informed decisions. This course can help you become a Business Analyst because it teaches you how to use Facebook Prophet to predict future trends. This is a valuable skill for a Business Analyst, as it can help you identify opportunities and make informed decisions about how to allocate resources.
Sales Analyst
Sales Analyst
A Sales Analyst uses their knowledge of sales data to help businesses improve their sales performance. This course can help you become a Sales Analyst because it teaches you how to use Facebook Prophet to predict future sales. This is a valuable skill for a Sales Analyst, as it can help you identify opportunities and make informed decisions about how to allocate resources.
Financial Analyst
Financial Analyst
A Financial Analyst uses their knowledge of finance and economics to make sound investment recommendations. This course can help you become a Financial Analyst because it teaches you how to use Facebook Prophet to predict future product prices. This is a valuable skill for a Financial Analyst, as it can help you make informed decisions about which investments to make. Additionally, you will learn how to import and visualize data, which is essential for any Financial Analyst.
Market Researcher
Market Researcher
A Market Researcher uses their knowledge of market research to help businesses make informed decisions. This course can help you become a Marketing Researcher because it teaches you how to use Facebook Prophet to predict future market trends. This is a valuable skill for a Market Researcher, as it can help you identify opportunities and make informed decisions about which products or services to develop.
Product Manager
Product Manager
A Product Manager uses their knowledge of product development to launch and manage successful products. This course may be useful to you if you want to become a Product Manager because it teaches you how to use Facebook Prophet to predict future product demand. This is a valuable skill for a Product Manager, as it can help you make informed decisions about which products to develop and how to market them.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer uses their knowledge of machine learning to develop and deploy machine learning models. This course may be useful to you if you want to become a Machine Learning Engineer because it teaches you how to use Facebook Prophet to build time series forecasting models. This is a valuable skill for a Machine Learning Engineer, as it can help you make predictions about future events and make informed decisions about how to allocate resources.
Software Engineer
Software Engineer
A Software Engineer uses their knowledge of software engineering to develop and deploy software solutions. This course may be useful to you if you want to become a Software Engineer because it teaches you how to use Facebook Prophet to build time series forecasting models. This is a valuable skill for a Software Engineer, as it can help you make predictions about future events and make informed decisions about how to allocate resources.
Data Scientist
Data Scientist
A Data Scientist uses their knowledge of data science to solve complex problems. This course may be useful to you if you want to become a Data Scientist because it teaches you how to use Facebook Prophet to build time series forecasting models. This is a valuable skill for a Data Scientist, as it can help you make predictions about future events and make informed decisions about how to allocate resources.
Researcher
Researcher
A Researcher uses their knowledge of research to develop and implement solutions to complex problems. This course may be useful to you if you want to become a Researcher because it teaches you how to use Facebook Prophet to build time series forecasting models. This is a valuable skill for a Researcher, as it can help you make predictions about future events and make informed decisions about how to allocate resources.
For more career information including salaries, visit:
OpenCourser.com/course/z1ka8g/predict
Reading list
We've selected eight 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
Predict Future Product Prices Using Facebook Prophet.
Save
Provides a comprehensive overview of artificial intelligence for business. It valuable resource for anyone interested in learning more about forecasting.
Provides a comprehensive overview of statistical learning methods. It valuable resource for anyone interested in learning more about forecasting.
Provides a comprehensive overview of Python for data analysis. It valuable resource for anyone interested in learning more about forecasting.
Save
Provides a comprehensive treatment of time series analysis and forecasting methods. It valuable resource for anyone interested in learning more about forecasting.
Save
Provides a practical introduction to machine learning for business. It is written in a clear and concise style, and it is packed with examples and exercises.
Provides a gentle introduction to data science. It is written in a clear and concise style, and it is packed with examples and exercises.
Provides a gentle introduction to statistical learning methods. It is written in a clear and concise style, and it is packed with examples and exercises.
Provides a gentle introduction to machine learning. It is written in a clear and concise style, and it is packed with examples and exercises.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/z1ka8g/predict
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Effort
2 hours
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Ryan Ahmed
Language
English
Good to know
Focuses on practical application in banking, retail, and healthcare sectors, which are key industries using time series forecasting
Taught by Ryan Ahmed, an expert in time series forecasting
Emphasizes hands-on practice with a project-based approach, allowing learners to develop practical skills
Covers foundational concepts and intuition behind Facebook Prophet, ensuring a strong understanding of the underlying techniques
Requires no prior knowledge in time series forecasting, making it accessible to learners from diverse backgrounds
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