Nov. 17, 2022, 2:31 p.m. | TDS Editors

Towards Data Science - Medium towardsdatascience.com

Time series—sequences of events or values that we can analyze to detect meaningful patterns—are a key element in data scientists’ toolkit. From environmental studies to marketing, they play a crucial role across numerous stats-rich fields, and empower practitioners to draw insights about the past and make informed predictions about the future.

This week, we’ve selected four enlightening contributions that cover time-series forecasting from different angles. Regardless of your experience level, you’re likely to learn something new.

data science series tds-features the-variable time series time-series-analysis towards-data-science

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

#13721 - Data Engineer - AI Model Testing

@ Qualitest | Miami, Florida, United States

Elasticsearch Administrator

@ ManTech | 201BF - Customer Site, Chantilly, VA