1. Wrapping up
Congratulations for completing this course on Analyzing IoT data in Python.
2. What you have learned
In this course, you have first learned to access IoT data from both a REST API, as well as from a data stream.
You then cleaned the data for further analysis and plotted the data to get an overview of the data.
You then detected and visualized correlations within the data and dissected the time-series data into its components.
Lastly, you developed and deployed a machine learning pipeline to a data stream to predict classes in real-time.
3. Next steps
This course did only scratch on the surface of what's possible with IoT data.
Further advanced topics may lead you to deepening your knowledge in the topics machine learning and databases.
You may also want to learn about Big Data and PySpark, since IoT data can very quickly become too big for one machine to handle, which will require specific tools and techniques.
Wherever you go next,
4. Congratulations!
congratulations on completing this course, and maybe see you back here for your next course.