Course curriculum
In this course, we’ll explore the ways a time series platform supports data scientists. We’ll learn how you could use Telegraf open source collection agent to perform forecasting at the edge. We’ll explore how you can use Flux query language to prepare and clean your data as well as some preliminary data analysis. Next, we’ll learn about integrations with Jupyter and Zeppelin notebooks. Finally, we’ll cover some statistical properties of time series and some general recommendations for forecasting and anomaly detection algorithm selections.
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Methods and Tools for Time Series Data Science Problems with InfluxDB, an Open-Source Time Series Database
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Methods and Tools for Time Series Data Science Problems with InfluxDB, an Open-Source Time Series Database
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Instructor
Developer Advocate ,Influx data
Anais Dotis-Georgiou
Anais Dotis-Georgiou is a Developer Advocate for InfluxData with a passion for making data beautiful with the use of Data Analytics, AI, and Machine Learning. She takes the data that she collects, does a mix of research, exploration, and engineering to translate the data into something of function, value, and beauty. When she is not behind a screen, you can find her outside drawing, stretching, boarding, or chasing after a soccer ball.