Modern Forecasting in Practice
Tim Januschowski
Director of Engineering, Databricks
Jan Gasthaus
Principal Applied Scientist & Engineer
What you will learn
Learn how to use machine learning techniques for predicting future outcomes in time series to optimize business processes.
The course features practical lessons heavily that we derived from two decades of working on some of the world's hardest forecasting problems at Amazon retail, Zalando and for AWS and its customers. You'll pick up the necessary theory, get hands-on example and learn about the tricks of the forecasting trade.
What you’ll learn
Get hands-on experience with modern forecasting tools & learn from case studies of the toughest forecasting challenges in the industry
Understand which and how business processes can be optimized by (probabilistic) forecasts
Differentiate strategic from operational forecasting problems with real-world examples from Zalando and Amazon
Measure and compare the accuracy of different forecasts
obtain the right co-variates for your problems and learn how to process them
pick the appropriate model family (and software implementation) for your forecasting challenge
enable model iterations through tools such as state of the art hyper parameter optimization
Visualize results in meaningful ways to make your efforts tangible to a non-technical audience
Understand the right quantitative evaluations to ensure that your results are convincing
Learn directly from Tim & Jan
Tim Januschowski
Director of Engineering, Databricks
Jan Gasthaus
Software Engineer & Applied Scientist
Who this course is for
Data Scientists who want to go beyond standard ML/AI problems and solve forecasting related business problems
Business analysts with familiarity in machine learning in industry settings who want to uplevel themselves in a top ML application domain
Economists and Applied Scientists who want to apply industry-proven modern forecasting techniques
What's included
Live sessions
Learn directly from Tim Januschowski & Jan Gasthaus in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
Course syllabus
Week 1
Supplementary Materials
Materials from Lectures including homework
Week 2
Supplementary Materials (Week 2)
Materials from Lectures including homework
Schedule
Live sessions
5 hrs / week
Projects
1 hr / week
Async content
1 hr / week
Success stories
- Jan and Tim are two of the best forecasters I know, especially when dealing with big data forecasting problems. Both have made important contributions to developing new machine-learning tools designed for forecasting and have years of relevant practical experience.
Rob Hyndman
Professor of Statistics @ Monash University, Australia - Over the past 10 years, Tim and Jan have tackled some of the hardest forecasting problems at Amazon and beyond. Their solutions advanced state-of-the-art and considered many aspects: from business questions during inception to method development and productization details during roll-out. Their rich and practical experience will benefit students.
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Ralf Herbrich
Professor of Computer Science @ Hasso-Plattner Institute, Berlin - I forecast that this course by Tim Januschowski and Jan Gasthaus on time series forecasting will be great.
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Alex Smola
Distinguished Scientist / VP @ Amazon Web Services
Frequently asked questions
$775
USD