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Jay Laramore
and
Marc Huber
In this course you learn to develop and maintain a large-scale forecasting project using SAS Visual Forecasting tools. Emphasis is initially on selecting appropriate methods for data creation and variable transformations, model generation, and model selection. Then you learn how to improve overall baseline forecasting performance by modifying default processes in the system.
Read more
In this course you learn to develop and maintain a large-scale forecasting project using SAS Visual Forecasting tools. Emphasis is initially on selecting appropriate methods for data creation and variable transformations, model generation, and model selection. Then you learn how to improve overall baseline forecasting performance by modifying default processes in the system.
Read more
In this course you learn to develop and maintain a large-scale forecasting project using SAS Visual Forecasting tools. Emphasis is initially on selecting appropriate methods for data creation and variable transformations, model generation, and model selection. Then you learn how to improve overall baseline forecasting performance by modifying default processes in the system.
This course is appropriate for analysts interested in augmenting their machine learning skills with analysis tools that are appropriate for assaying, modifying, modeling, forecasting, and managing data that consist of variables that are collected over time. The courses is primarily syntax based, so analysts taking this course need some familiarity with coding. Experience with an object-oriented language is helpful, as is familiarity with manipulating large tables.
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What's inside
Syllabus
Specialization Overview (Review)
In this module you get an overview of the courses in this specialization and what you can expect. Note: This same module appears in each course in this specialization.
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Syllabus
Specialization Overview (Review)
In this module you get an overview of the courses in this specialization and what you can expect. Note: This same module appears in each course in this specialization.
Read more
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Provides an entry point into forecasting concepts and is suitable for beginners
Focuses on forecasting methodology and is not industry-specific
Requires familiarity with an object-oriented language
Designed for intermediate to advanced learners in time-series forecasting
Taught by instructors from SAS, a prominent software provider in analytics
Appropriate for analysts seeking to enhance their machine learning skills with forecasting analysis
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Reviews summary
Large-scale automated forecasting with sas
According to students, this course offers a highly specialized and practical deep dive into building large-scale, automated forecasting systems using SAS Visual Forecasting tools. Learners particularly highlight its utility for enhancing professional skills, noting the comprehensive coverage of TSMODEL and ATSM packages for efficient automation. While praised for its real-world applicability and insights into custom model creation, prospective learners should be aware it demands strong prior familiarity with coding and large-table manipulation, making it best suited for experienced analysts rather than beginners.
Covers advanced topics like custom model creation and management.
"The module on <span class='positive'>creating custom models was a significant advantage, allowing for tailored solutions."
"I appreciated learning how to <span class='positive'>manage model lists and include custom specifications in the automatic process."
"It's great for those who need to go beyond standard models and <span class='positive'>fine-tune their forecasting systems."
Delivers immediately applicable skills for professional use.
"The <span class='positive'>hands-on nature and project focus were excellent for applying concepts directly."
"I found the methods taught <span class='positive'>highly applicable to real-world forecasting problems in my role."
"It equipped me with <span class='positive'>tools and strategies I could implement right away."
Explores building efficient, automated forecasting systems.
"I learned how to <span class='positive'>automate forecasting processes for large datasets, which is invaluable."
"The focus on <span class='positive'>large-scale implementation made it highly relevant to real-world business challenges."
"It showed me how to significantly <span class='positive'>improve overall baseline forecasting performance."
Provides a deep dive into SAS Visual Forecasting tools.
"I appreciated the comprehensive coverage of <span class='neutral'>TSMODEL and <span class='neutral'>ATSM packages."
"The course truly helped me master <span class='neutral'>SAS Visual Forecasting for complex tasks."
"It directly enhanced my skills with <span class='neutral'>SAS-specific methods needed for my job."
Requires strong background in coding and data manipulation.
"This course is <span class='warning'>definitely not for beginners; you need solid coding and data skills to keep up."
"I felt the <span class='warning'>prerequisites were essential; without them, the pace would be overwhelming."
"It's best for <span class='warning'>experienced analysts who are already comfortable with syntax-based tools and large tables."
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 Building a Large-Scale, Automated Forecasting System with these
activities:
Read Forecasting Principles and Applications
Show steps
Provides a comprehensive overview of the principles and techniques used in forecasting.
View
Forecasting: Principles and Practice
on Amazon
Show steps
-
Read the book thoroughly.
-
Take notes on the key concepts and techniques.
-
Complete the exercises at the end of each chapter.
Review Time Series Analysis concepts
Show steps
Ensures that you have a solid understanding of time series analysis principles before starting the course.
Browse courses on
Time Series Analysis
Show steps
-
Review the definition and characteristics of time series data.
-
Understand the different types of time series analysis.
-
Practice analyzing time series data using statistical techniques.
Identify a mentor
Show steps
Connects you with an experienced professional who can provide guidance and support.
Browse courses on
Time Series Forecasting
Show steps
-
Identify potential mentors in your field.
-
Reach out to your potential mentors and introduce yourself.
-
Meet with your mentor regularly to discuss your progress and get advice.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Follow SAS Visual Forecasting tutorials
Show steps
Provides you with practical experience using the SAS Visual Forecasting software.
Show steps
-
Review the SAS Visual Forecasting documentation.
-
Complete the SAS Visual Forecasting tutorials.
-
Practice using SAS Visual Forecasting to analyze time series data.
Practice Automatic Forecasting
Show steps
Reinforces the techniques for performing automatic forecasting using SAS Visual Forecasting.
Show steps
-
Review the steps involved in automatic forecasting.
-
Practice using SAS Visual Forecasting to perform automatic forecasting on a dataset.
-
Evaluate the results of your automatic forecasting.
Join a study group
Show steps
Enables you to collaborate with other students and learn from their experiences.
Browse courses on
Time Series Forecasting
Show steps
-
Find a study group or organize one with your classmates.
-
Meet regularly to discuss course material and work on projects together.
-
Share your knowledge and insights with other group members.
Build a Forecasting Model
Show steps
Provides you with hands-on experience in building and evaluating a forecasting model using SAS Visual Forecasting.
Browse courses on
Time Series Forecasting
Show steps
-
Identify a suitable dataset for forecasting.
-
Use SAS Visual Forecasting to build a forecasting model.
-
Evaluate the performance of your forecasting model.
-
Present your forecasting model to others.
Read Forecasting Principles and Applications
Show steps
Provides a comprehensive overview of the principles and techniques used in forecasting.
View
Forecasting: Principles and Practice
on Amazon
Show steps
Show steps
Show steps
- Read the book thoroughly.
- Take notes on the key concepts and techniques.
- Complete the exercises at the end of each chapter.
Review Time Series Analysis concepts
Show steps
Ensures that you have a solid understanding of time series analysis principles before starting the course.
Browse courses on
Time Series Analysis
Show steps
Show steps
Show steps
- Review the definition and characteristics of time series data.
- Understand the different types of time series analysis.
- Practice analyzing time series data using statistical techniques.
Identify a mentor
Show steps
Connects you with an experienced professional who can provide guidance and support.
Browse courses on
Time Series Forecasting
Show steps
Show steps
Show steps
- Identify potential mentors in your field.
- Reach out to your potential mentors and introduce yourself.
- Meet with your mentor regularly to discuss your progress and get advice.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Follow SAS Visual Forecasting tutorials
Show steps
Provides you with practical experience using the SAS Visual Forecasting software.
Show steps
Show steps
Show steps
- Review the SAS Visual Forecasting documentation.
- Complete the SAS Visual Forecasting tutorials.
- Practice using SAS Visual Forecasting to analyze time series data.
Practice Automatic Forecasting
Show steps
Reinforces the techniques for performing automatic forecasting using SAS Visual Forecasting.
Show steps
Show steps
Show steps
- Review the steps involved in automatic forecasting.
- Practice using SAS Visual Forecasting to perform automatic forecasting on a dataset.
- Evaluate the results of your automatic forecasting.
Join a study group
Show steps
Enables you to collaborate with other students and learn from their experiences.
Browse courses on
Time Series Forecasting
Show steps
Show steps
Show steps
- Find a study group or organize one with your classmates.
- Meet regularly to discuss course material and work on projects together.
- Share your knowledge and insights with other group members.
Build a Forecasting Model
Show steps
Provides you with hands-on experience in building and evaluating a forecasting model using SAS Visual Forecasting.
Browse courses on
Time Series Forecasting
Show steps
Show steps
Show steps
- Identify a suitable dataset for forecasting.
- Use SAS Visual Forecasting to build a forecasting model.
- Evaluate the performance of your forecasting model.
- Present your forecasting model to others.
Career center
Learners who complete Building a Large-Scale, Automated Forecasting System will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use statistical methods and machine learning to extract knowledge from data. In this role, you would use your knowledge of SAS Visual Forecasting tools to build and maintain large-scale forecasting systems. You would also use your skills in data analysis and machine learning to improve the accuracy of the forecasts. This course would be particularly helpful for you because it would provide you with the skills and knowledge you need to build and maintain a large-scale forecasting system.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and maintain machine learning systems. In this role, you would use your knowledge of SAS Visual Forecasting tools to build and maintain large-scale forecasting systems. You would also use your skills in machine learning to improve the accuracy of the forecasts. This course would be particularly helpful for you because it would provide you with the skills and knowledge you need to build and maintain a large-scale forecasting system.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical methods to analyze financial data. In this role, you would use your knowledge of SAS Visual Forecasting tools to build and maintain large-scale forecasting systems. You would also use your skills in financial analysis to improve the accuracy of the forecasts. This course would be particularly helpful for you because it would provide you with the skills and knowledge you need to build and maintain a large-scale forecasting system in the financial industry.
Business Analyst
Business Analyst
Business Analysts use data analysis to identify and solve business problems. In this role, you would use your knowledge of SAS Visual Forecasting tools to build and maintain large-scale forecasting systems. You would also use your skills in business analysis to improve the accuracy of the forecasts. This course would be particularly helpful for you because it would provide you with the skills and knowledge you need to build and maintain a large-scale forecasting system for a business.
Data Analyst
Data Analyst
Data Analysts use data analysis to identify and solve problems. In this role, you would use your knowledge of SAS Visual Forecasting tools to build and maintain large-scale forecasting systems. You would also use your skills in data analysis to improve the accuracy of the forecasts. This course would be particularly helpful for you because it would provide you with the skills and knowledge you need to build and maintain a large-scale forecasting system.
Statistician
Statistician
Statisticians use statistical methods to collect, analyze, and interpret data. In this role, you would use your knowledge of SAS Visual Forecasting tools to build and maintain large-scale forecasting systems. You would also use your skills in statistics to improve the accuracy of the forecasts. This course would be particularly helpful for you because it would provide you with the skills and knowledge you need to build and maintain a large-scale forecasting system.
Financial Analyst
Financial Analyst
Financial Analysts use financial data to make investment decisions. In this role, you would use your knowledge of SAS Visual Forecasting tools to build and maintain large-scale forecasting systems. You would also use your skills in financial analysis to improve the accuracy of the forecasts. This course would be particularly helpful for you because it would provide you with the skills and knowledge you need to build and maintain a large-scale forecasting system in the financial industry.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and statistical methods to solve business problems. In this role, you would use your knowledge of SAS Visual Forecasting tools to build and maintain large-scale forecasting systems. You would also use your skills in operations research to improve the accuracy of the forecasts. This course would be particularly helpful for you because it would provide you with the skills and knowledge you need to build and maintain a large-scale forecasting system for a business.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. In this role, you would use your knowledge of SAS Visual Forecasting tools to build and maintain large-scale forecasting systems. You would also use your skills in software engineering to improve the accuracy of the forecasts. This course would be particularly helpful for you because it would provide you with the skills and knowledge you need to build and maintain a large-scale forecasting system.
Computer Scientist
Computer Scientist
Computer Scientists research and develop new computer technologies. In this role, you would use your knowledge of SAS Visual Forecasting tools to build and maintain large-scale forecasting systems. You would also use your skills in computer science to improve the accuracy of the forecasts. This course would be particularly helpful for you because it would provide you with the skills and knowledge you need to build and maintain a large-scale forecasting system.
Data Architect
Data Architect
Data Architects design and implement data management systems. In this role, you would use your knowledge of SAS Visual Forecasting tools to build and maintain large-scale forecasting systems. You would also use your skills in data architecture to improve the accuracy of the forecasts. This course would be particularly helpful for you because it would provide you with the skills and knowledge you need to build and maintain a large-scale forecasting system.
Database Administrator
Database Administrator
Database Administrators maintain and administer database systems. In this role, you would use your knowledge of SAS Visual Forecasting tools to build and maintain large-scale forecasting systems. You would also use your skills in database administration to improve the accuracy of the forecasts. This course would be particularly helpful for you because it would provide you with the skills and knowledge you need to build and maintain a large-scale forecasting system.
Systems Administrator
Systems Administrator
Systems Administrators maintain and administer computer systems. In this role, you would use your knowledge of SAS Visual Forecasting tools to build and maintain large-scale forecasting systems. You would also use your skills in systems administration to improve the accuracy of the forecasts. This course would be particularly helpful for you because it would provide you with the skills and knowledge you need to build and maintain a large-scale forecasting system.
Network Administrator
Network Administrator
Network Administrators maintain and administer computer networks. In this role, you would use your knowledge of SAS Visual Forecasting tools to build and maintain large-scale forecasting systems. You would also use your skills in network administration to improve the accuracy of the forecasts. This course would be particularly helpful for you because it would provide you with the skills and knowledge you need to build and maintain a large-scale forecasting system.
IT Manager
IT Manager
IT Managers plan and direct the activities of an organization's IT department. In this role, you would use your knowledge of SAS Visual Forecasting tools to build and maintain large-scale forecasting systems. You would also use your skills in IT management to improve the accuracy of the forecasts. This course would be particularly helpful for you because it would provide you with the skills and knowledge you need to build and maintain a large-scale forecasting system.
For more career information including salaries, visit:
OpenCourser.com/course/u2s93u/building
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
Building a Large-Scale, Automated Forecasting System.
Provides a comprehensive and up-to-date treatment of time series analysis. It is appropriate for students and practitioners who have a strong background in mathematics and statistics. It is commonly used as a textbook in academic settings.
Provides a comprehensive treatment of time series analysis using state space models. It is appropriate for students and practitioners who have a strong background in mathematics and statistics. It is commonly used as a textbook in academic settings.
Provides a comprehensive treatment of Bayesian analysis of time series and state space models. It is appropriate for students and practitioners who have a strong background in mathematics and statistics. It is commonly used as a textbook in academic settings.
Save
Provides a comprehensive treatment of time series econometrics. It is appropriate for students and practitioners who have a strong background in econometrics. It is commonly used as a textbook in academic settings.
Provides a comprehensive treatment of time series analysis with a focus on applications in R. It is appropriate for students and practitioners who want to learn how to use R for time series analysis.
Offers a clear and intuitive introduction to time series analysis. It is appropriate for students and practitioners who are new to the topic. It is also commonly used as a textbook in academic settings.
Save
Has a practical focus and is appropriate for both students and practitioners. It can be incredibly helpful in providing a background in time series. This text is more useful as additional reading than as a current reference.
Provides a practical guide to using SAS Enterprise Miner for time series analysis. It is appropriate for practitioners who are familiar with SAS and want to use it for time series analysis.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/u2s93u/building
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Similar courses
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Level
Intermediate
Via
Coursera
Institution
SAS
Instructors
Jay Laramore
Marc Huber
Language
English
This course belongs to a
collection
called
Analyzing Time Series and Sequential Data. It's comprised of three courses:
- Creating Features for Time Series Data
- Building a Large-Scale, Automated Forecasting System (viewing)
- Modeling Time Series and Sequential Data
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