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Ed Freitas

This course will teach you how to work with Amazon Forecast, a managed service that provides accurate future forecasts using machine learning, by preparing data, and training forecasting models.

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This course will teach you how to work with Amazon Forecast, a managed service that provides accurate future forecasts using machine learning, by preparing data, and training forecasting models.

Amazon Forecast is a managed service that provides accurate future forecasts using machine learning. In this course, Time Series Forecasting with Amazon Forecast, you will learn to use Amazon Forecast and machine learning technology to create an accurate time series forecast.

First, you will explore the basics of Amazon Forecast, how it works, and how to set it up to be ready for use.

Next, you will explore how to create a target time series dataset, by creating a group dataset and understanding domains and dataset types.

Next, you will learn how to train a predictor, creating and deploying predictor queries, and obtaining and visualizing actual and predicted results in the console.

When finished with this course, you will have the skills and knowledge on how to use Amazon Forecast to create accurate future time series forecasts by using custom model predictors with machine learning algorithms to create forecasts that can be easily reviewed.

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What's inside

Syllabus

Course Overview
Getting Started with Amazon Forecast
Preparing Data for Amazon Forecast
Evaluating a Forecast
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Suitable for professionals in data analysis or machine learning looking to gain expertise in forecasting methods
Taught by experts in data science and business intelligence, ensuring high-quality instruction
Provides comprehensive instruction on topics such as data preparation, predictor training, and forecast evaluation
Offered in a flexible online format, making it accessible to learners with busy schedules
Utilizes real-world examples and case studies to enhance practical learning

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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 Time Series Forecasting with Amazon Forecast with these activities:
Explore Amazon Forecast Documentation and Examples
Gain hands-on experience with Amazon Forecast by following guided tutorials and examples provided by AWS.
Browse courses on Amazon Forecast
Show steps
  • Read through the Amazon Forecast documentation
  • Follow step-by-step tutorials on creating and using Amazon Forecast
  • Explore code samples and examples provided by AWS
Practice Data Preparation for Amazon Forecast
Strengthen data preparation skills by practicing the techniques covered in the course, ensuring that data is ready for use with Amazon Forecast.
Browse courses on Data Preparation
Show steps
  • Obtain sample time series datasets
  • Clean and process data, handling missing values and outliers
  • Transform data into the required format for Amazon Forecast
Attend Workshops on Amazon Forecast Best Practices
Gain insights and practical tips by attending workshops that focus on best practices for using Amazon Forecast effectively.
Show steps
  • Identify and register for workshops on Amazon Forecast best practices
  • Attend the workshops and take notes on key takeaways
  • Apply the best practices learned to your own Amazon Forecast projects
Four other activities
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Build a Forecasting Model with Amazon Forecast
Demonstrate comprehension of Amazon Forecast's model building capabilities by creating a forecasting model using real-world or sample data.
Browse courses on Model Building
Show steps
  • Select and prepare a time series dataset
  • Create a forecasting model using Amazon Forecast
  • Evaluate the model's performance and make adjustments as needed
Attend Meetups and Conferences Related to Amazon Forecast
Expand your knowledge and connect with experts by attending industry meetups and conferences focused on Amazon Forecast and related technologies.
Browse courses on Networking
Show steps
  • Find and register for relevant meetups and conferences
  • Attend the events and actively participate in discussions
  • Connect with other attendees and exchange ideas
Participate in Amazon Forecast Challenges
Challenge your skills and gain recognition by participating in Amazon Forecast challenges that involve solving real-world forecasting problems.
Show steps
  • Find and register for relevant Amazon Forecast challenges
  • Develop a solution using Amazon Forecast
  • Submit your solution and compete for prizes and recognition
Contribute to the Amazon Forecast Open Source Community
Deepen your understanding of Amazon Forecast and contribute to the community by participating in open-source projects related to the service.
Browse courses on Open Source
Show steps
  • Find open-source projects related to Amazon Forecast
  • Contribute code, documentation, or other resources to the project
  • Collaborate with other contributors and share knowledge

Career center

Learners who complete Time Series Forecasting with Amazon Forecast will develop knowledge and skills that may be useful to these careers:
Data Scientist
Data Scientists use their knowledge of statistics, modeling, and machine learning to analyze large amounts of data and extract meaningful insights. This course in Time Series Forecasting with Amazon Forecast can help build a foundation for a career as a Data Scientist by providing the skills necessary to forecast future trends and make data-driven decisions.
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models. This course in Time Series Forecasting with Amazon Forecast can help build a foundation for a career as a Machine Learning Engineer by providing the skills necessary to build and deploy accurate machine learning models for forecasting future trends.
Data Analyst
Data Analysts use their skills in data analysis, statistics, and modeling to extract meaningful insights from data. This course in Time Series Forecasting with Amazon Forecast can help build a foundation for a career as a Data Analyst by providing the skills necessary to analyze time series data and forecast future trends.
Business Analyst
Business Analysts use their skills in data analysis, modeling, and communication to help businesses make better decisions. This course in Time Series Forecasting with Amazon Forecast can help build a foundation for a career as a Business Analyst by providing the skills necessary to analyze time series data and forecast future trends, which can be valuable for making informed business decisions.
Financial Analyst
Financial Analysts use their skills in finance, data analysis, and modeling to help businesses make better financial decisions. This course in Time Series Forecasting with Amazon Forecast can help build a foundation for a career as a Financial Analyst by providing the skills necessary to analyze time series data and forecast future trends, which can be valuable for making informed financial decisions.
Marketing Analyst
Marketing Analysts use their skills in marketing, data analysis, and modeling to help businesses make better marketing decisions. This course in Time Series Forecasting with Amazon Forecast can help build a foundation for a career as a Marketing Analyst by providing the skills necessary to analyze time series data and forecast future trends, which can be valuable for making informed marketing decisions.
Operations Research Analyst
Operations Research Analysts use their skills in mathematics, modeling, and optimization to help businesses make better operational decisions. This course in Time Series Forecasting with Amazon Forecast can help build a foundation for a career as an Operations Research Analyst by providing the skills necessary to analyze time series data and forecast future trends, which can be valuable for making informed operational decisions.
Quantitative Analyst
Quantitative Analysts use their skills in mathematics, modeling, and finance to help businesses make better financial decisions. This course in Time Series Forecasting with Amazon Forecast can help build a foundation for a career as a Quantitative Analyst by providing the skills necessary to analyze time series data and forecast future trends, which can be valuable for making informed financial decisions.
Risk Analyst
Risk Analysts use their skills in risk management, data analysis, and modeling to help businesses identify and mitigate risks. This course in Time Series Forecasting with Amazon Forecast can help build a foundation for a career as a Risk Analyst by providing the skills necessary to analyze time series data and forecast future trends, which can be valuable for identifying and mitigating risks.
Statistician
Statisticians use their skills in statistics, data analysis, and modeling to help businesses make better decisions. This course in Time Series Forecasting with Amazon Forecast can help build a foundation for a career as a Statistician by providing the skills necessary to analyze time series data and forecast future trends, which can be valuable for making informed decisions.
Software Engineer
Software Engineers design, develop, and maintain software applications. This course in Time Series Forecasting with Amazon Forecast may be useful for Software Engineers who want to develop applications that use time series forecasting.
Data Engineer
Data Engineers design, build, and maintain data pipelines and infrastructure. This course in Time Series Forecasting with Amazon Forecast may be useful for Data Engineers who want to build data pipelines that use time series forecasting.
Database Administrator
Database Administrators design, build, and maintain databases. This course in Time Series Forecasting with Amazon Forecast may be useful for Database Administrators who want to build databases that store time series data.
Cloud Architect
Cloud Architects design, build, and maintain cloud computing solutions. This course in Time Series Forecasting with Amazon Forecast may be useful for Cloud Architects who want to build cloud computing solutions that use time series forecasting.
Business Intelligence Analyst
Business Intelligence Analysts use their skills in data analysis, modeling, and communication to help businesses make better decisions. This course in Time Series Forecasting with Amazon Forecast may be useful for Business Intelligence Analysts who want to develop skills in time series forecasting.

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 Time Series Forecasting with Amazon Forecast.
Provides a comprehensive overview of forecasting methods, including both traditional and modern approaches. It valuable resource for anyone who wants to learn more about forecasting.
Provides a comprehensive overview of statistical methods for forecasting. It valuable resource for anyone who wants to learn more about the theory and practice of forecasting.
Provides a comprehensive overview of time series analysis and its applications. It valuable resource for anyone who wants to learn more about the theory and practice of time series analysis.
Provides a comprehensive overview of forecasting methods and their applications. It valuable resource for anyone who wants to learn more about the theory and practice of forecasting.
Provides a comprehensive overview of time series analysis by state space methods. It valuable resource for anyone who wants to learn more about the theory and practice of time series analysis.
Provides a comprehensive overview of time series analysis with applications in R. It valuable resource for anyone who wants to learn more about the theory and practice of time series analysis.

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