Tim Januschowski

Cohort Q3 2024

Cohort Q1 2024

Cohort October 2023

Cohort Q1 2025

Cohort Q3 2025

Cohort Q1 2026

offline cohort

Data scientists who apply statistical and ML techniques to extract insights from data.

Using data and metrics to measure performance, run experiments, and inform decisions.

Get hands-on experience with modern forecasting tools & learn from case studies of the toughest forecasting challenges in the industry

Director of Engineering, Databricks

Principal Applied Scientist & Engineer

Jan Gasthaus

Software Engineer & Applied Scientist

Modern Forecasting in Practice

Head of demand planning services 

Director of Deep Learning

Market Data Scientist

Research Scientist

Machine Learning Engineer

Data Scientist

HEAD OF DATA

Senior Data Scientist

Data & Analytics Manager

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.

Apply the right modern forecasting method to your problem

Identify the business problems that benefit from modern forecasting techniques

Apply appropriate techniques to maximize the effectiveness of your solution

Develop the skills to present results effectively to a non-technical audience

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

Learn directly from Tim Januschowski

Tim Januschowski

Courses

Modern Forecasting in Practice