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AWS
In this course, you’ll learn how Amazon Forecast improves accuracy by considering additional variables and external factors as opposed to traditional models.
Accuracy is the most important factor when it comes to time-series forecasting, because it has a direct impact on revenue, cost, and profit. In this lesson, you’ll learn how Amazon Forecast improves accuracy by considering additional variables and external factors as opposed to traditional models. We will also look into how Amazon Forecast automates the entire forecasting process, including the recommendation of algorithms for optimal performance.
Register for this course and see more details by visiting:
OpenCourser.com/course/18ktbu/introduction
What's inside
Syllabus
Introduction to Amazon Forecast
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Delves into the intricacies of time-series forecasting, enhancing accuracy for better decision-making
Led by Amazon Web Services (AWS) instructors with expertise in forecasting
Covers advanced forecasting techniques that leverage external variables and factors
Provides a comprehensive introduction to Amazon Forecast, a powerful forecasting platform
Suitable for professionals seeking to improve their time-series forecasting skills
Save this course
Save Introduction to Amazon Forecast to your list so you can find it easily later:
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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 Introduction to Amazon Forecast with these
activities:
Review Fundamental Data Analysis
Show steps
Review previously covered topics from an undergrad or prior work experience course in the field of data analysis to prepare for the course.
Browse courses on
Data Analysis
Show steps
-
Identify fundamental concepts in data analysis
-
Review statistical methods and techniques
-
Practice data manipulation and cleaning
Seek Mentorship from Industry Experts
Show steps
Accelerate your learning by connecting with experienced professionals in the field of time series forecasting.
Browse courses on
Mentorship
Show steps
-
Identify potential mentors working with Amazon Forecast
-
Reach out and request a mentorship opportunity
-
Regularly connect with your mentor and seek guidance
Complete Amazon Forecast Documentation Tutorials
Show steps
Familiarize yourself with Amazon Forecast by completing step-by-step tutorials provided by AWS.
Browse courses on
Amazon Forecast
Show steps
-
Navigate to the Amazon Forecast documentation
-
Review the tutorials available
-
Choose and complete at least 3 tutorials
Five other activities
Expand to see all activities and additional details
Show all eight activities
Join an Online Study Group
Show steps
Engage with fellow learners and share knowledge by joining an online study group focused on Amazon Forecast.
Browse courses on
Time Series Forecasting
Show steps
-
Search for online study groups relevant to Amazon Forecast
-
Join a group and actively participate in discussions
-
Collaborate on projects and assignments
Attend an Amazon Forecast Workshop
Show steps
Gain practical experience and connect with experts by attending an Amazon Forecast workshop.
Browse courses on
Time Series Forecasting
Show steps
-
Search for upcoming Amazon Forecast workshops
-
Register for a workshop that aligns with your interests
-
Attend the workshop and actively participate
Develop a Time Series Forecasting Model
Show steps
Apply the knowledge gained from the course by building a time series forecasting model using Amazon Forecast.
Browse courses on
Time Series Forecasting
Show steps
-
Gather and prepare real-world data
-
Create an Amazon Forecast dataset
-
Train and evaluate a forecasting model
-
Deploy and monitor the model
Write a Blog Post on Amazon Forecast
Show steps
Demonstrate your understanding of Amazon Forecast by creating a blog post that shares your insights and experiences.
Browse courses on
Amazon Forecast
Show steps
-
Choose a specific topic related to Amazon Forecast
-
Research the topic thoroughly
-
Write a compelling and informative blog post
-
Publish and promote your blog post
Contribute to Open-Source Projects Related to Amazon Forecast
Show steps
Deepen your understanding of Amazon Forecast by contributing to its open-source ecosystem.
Browse courses on
Open Source
Show steps
-
Explore open-source projects related to Amazon Forecast
-
Identify areas where you can contribute
-
Submit pull requests with your contributions
-
Engage with the community and provide support
Review Fundamental Data Analysis
Show steps
Review previously covered topics from an undergrad or prior work experience course in the field of data analysis to prepare for the course.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Identify fundamental concepts in data analysis
- Review statistical methods and techniques
- Practice data manipulation and cleaning
Seek Mentorship from Industry Experts
Show steps
Accelerate your learning by connecting with experienced professionals in the field of time series forecasting.
Browse courses on
Mentorship
Show steps
Show steps
Show steps
- Identify potential mentors working with Amazon Forecast
- Reach out and request a mentorship opportunity
- Regularly connect with your mentor and seek guidance
Complete Amazon Forecast Documentation Tutorials
Show steps
Familiarize yourself with Amazon Forecast by completing step-by-step tutorials provided by AWS.
Browse courses on
Amazon Forecast
Show steps
Show steps
Show steps
- Navigate to the Amazon Forecast documentation
- Review the tutorials available
- Choose and complete at least 3 tutorials
Five other activities
Expand to see all activities and additional details
Show all eight activities
Join an Online Study Group
Show steps
Engage with fellow learners and share knowledge by joining an online study group focused on Amazon Forecast.
Browse courses on
Time Series Forecasting
Show steps
Show steps
Show steps
- Search for online study groups relevant to Amazon Forecast
- Join a group and actively participate in discussions
- Collaborate on projects and assignments
Attend an Amazon Forecast Workshop
Show steps
Gain practical experience and connect with experts by attending an Amazon Forecast workshop.
Browse courses on
Time Series Forecasting
Show steps
Show steps
Show steps
- Search for upcoming Amazon Forecast workshops
- Register for a workshop that aligns with your interests
- Attend the workshop and actively participate
Develop a Time Series Forecasting Model
Show steps
Apply the knowledge gained from the course by building a time series forecasting model using Amazon Forecast.
Browse courses on
Time Series Forecasting
Show steps
Show steps
Show steps
- Gather and prepare real-world data
- Create an Amazon Forecast dataset
- Train and evaluate a forecasting model
- Deploy and monitor the model
Write a Blog Post on Amazon Forecast
Show steps
Demonstrate your understanding of Amazon Forecast by creating a blog post that shares your insights and experiences.
Browse courses on
Amazon Forecast
Show steps
Show steps
Show steps
- Choose a specific topic related to Amazon Forecast
- Research the topic thoroughly
- Write a compelling and informative blog post
- Publish and promote your blog post
Contribute to Open-Source Projects Related to Amazon Forecast
Show steps
Deepen your understanding of Amazon Forecast by contributing to its open-source ecosystem.
Browse courses on
Open Source
Show steps
Show steps
Show steps
- Explore open-source projects related to Amazon Forecast
- Identify areas where you can contribute
- Submit pull requests with your contributions
- Engage with the community and provide support
Career center
Learners who complete Introduction to Amazon Forecast will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts often build models to predict future events or trends. To be successful in this role, one must understand machine learning models and how to apply them to business problems. Amazon Forecast can help build a foundation in time-series forecasting, a type of modeling used by Data Analysts for predictions on future events or trends.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build, deploy, and maintain machine learning models in production. To do this work, a solid understanding of machine learning fundamentals is necessary. This course can help build a foundation in time-series forecasting, which is a type of machine learning that can be used for a variety of business applications.
Data Scientist
Data Scientist
Data Scientists play a vital role in understanding how to apply new technologies to improve business outcomes. Amazon Forecast is such a new technology and can be used to improve predictions, leading to actionable business outcomes. By taking this course, you can learn how to effectively use time-series forecasting to gain valuable insights.
Product Manager
Product Manager
Product Managers work with customers and engineers to build valuable products. Understanding the use of artificial intelligence to improve business outcomes is an important component of the role. This course can teach you how to use a service that leverages artificial intelligence to improve predictions and business outcomes.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts look for ways to improve operations and business processes by applying mathematical and analytical methods. One popular technique is time-series forecasting, which is what this course will teach you. Amazon Forecast automates a lot of the heavy lifting involved in time-series forecasting, so it's a great tool for Operations Research Analysts to use.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts develop mathematical and statistical models to assess the risks and potential returns of investments. These models can use time-series forecasting, which is the topic that Amazon Forecast is designed to handle. For these reasons, this course may be a useful choice for Quantitative Analysts to understand how to use this new technology to improve their models.
Statistician
Statistician
Statisticians collect, analyze, and interpret data to provide insights for businesses. Time-series forecasting is one technique Statisticians use to analyze data and forecast future events. Amazon Forecast automates the process of time-series forecasting, so it is a valuable tool that Statisticians can use.
Financial Analyst
Financial Analyst
Financial Analysts help companies make sound financial decisions. Time-series forecasting often is used to predict revenue and other financial metrics to help make informed decisions. Amazon Forecast is a tool that can improve the accuracy of these forecasts, so this course may be helpful for Financial Analysts looking to leverage technology to improve outcomes.
Marketing Analyst
Marketing Analyst
Marketing Analysts use data to understand customer behavior and develop marketing strategies. This often involves forecasting future demand. Amazon Forecast is a tool that can be used to improve the accuracy of these forecasts.
Risk Analyst
Risk Analyst
Risk Analysts evaluate and manage financial and insurance risks. Time-series forecasting is a tool that can be used to assess risk. For example, Amazon Forecast can be used to forecast the probability of a certain event occurring. This information can then be used to make informed decisions about how to manage risk.
Software Engineer
Software Engineer
Software Engineers develop and maintain software applications. This course may be helpful for Software Engineers who are interested in building applications that use machine learning to forecast future events. Amazon Forecast is a managed service that makes it easy to add forecasting to applications.
Actuary
Actuary
Actuaries use mathematical and statistical methods to assess risk. One area where this is applied is in insurance, where actuaries help insurance companies determine how much to charge for insurance policies. Amazon Forecast can be used to improve the accuracy of these forecasts, so it may be a useful tool for actuaries.
Business Analyst
Business Analyst
Business Analysts help businesses improve their performance by using data and analytics. This often involves forecasting future trends. Amazon Forecast is a tool that can be used to improve the accuracy of these forecasts, so it may be helpful for Business Analysts looking to leverage technology to improve outcomes.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines. This often involves collecting and storing time-series data. Amazon Forecast is a tool that can be used to analyze time-series data and forecast future trends. This course can teach Data Engineers how to use this tool, which may be helpful for building data pipelines that support forecasting applications.
Financial Planner
Financial Planner
Financial Planners help individuals and families plan for their financial future. This often involves forecasting future income and expenses. Amazon Forecast is a tool that can be used to improve the accuracy of these forecasts, so this course may be helpful for Financial Planners looking to leverage technology to improve outcomes.
For more career information including salaries, visit:
OpenCourser.com/course/18ktbu/introduction
Reading list
We've selected six 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
Introduction to Amazon Forecast.
Save
Provides a comprehensive overview of time-series forecasting methods, including both traditional and advanced techniques. It valuable resource for anyone who wants to learn more about time-series forecasting.
Provides a thorough introduction to state space models, which are a powerful tool for time-series forecasting. It valuable resource for anyone who wants to learn more about state space models.
Provides a comprehensive overview of time-series analysis and its applications. It valuable resource for anyone who wants to learn more about time-series analysis.
Provides a comprehensive overview of time-series forecasting methods. It valuable resource for anyone who wants to learn more about time-series forecasting.
Provides a comprehensive overview of time-series forecasting methods. It valuable resource for anyone who wants to learn more about time-series forecasting.
Provides a practical introduction to time-series analysis and forecasting using R. It valuable resource for anyone who wants to learn how to use R for time-series analysis and forecasting.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/18ktbu/introduction
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Time
11 hours
Level
Introductory
Via
Pluralsight
Instructor
AWS
Language
English
Good to know
Delves into the intricacies of time-series forecasting, enhancing accuracy for better decision-making
Led by Amazon Web Services (AWS) instructors with expertise in forecasting
Covers advanced forecasting techniques that leverage external variables and factors
Provides a comprehensive introduction to Amazon Forecast, a powerful forecasting platform
Suitable for professionals seeking to improve their time-series forecasting skills
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