Time Series Forecasting in Minutes

In this Data Science in Minutes, we will describe what time series forecasting is, and provide several examples of when you can use time series for your data. Time Series is looking at data over time to forecast or predict what will happen in the next time period, based on patterns or re-occurring trends of previous time periods.

Learn how to setup a time series model:
Time Series in Python Part 1: Read and Transform Your Data

Previous video:
One Versus One vs. One Versus All

More Data Science in Minutes:
Natural Language Processing

More Data Science Material:
[Video] Time Series in Python Part 2: ARIMA Modeling and Forecasting
[Video] Time Series in Python Part 3: MAE Forecast evaluation
[Blog] Time Series Business Applications

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Rebecca Merrett
About The Author
- Rebecca holds a bachelor’s degree of information and media from the University of Technology Sydney and a post graduate diploma in mathematics and statistics from the University of Southern Queensland. She has a background in technical writing for games dev and has written for tech publications.

2 Comments

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    Anonymous
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