When Is the Best Time to Learn Something?

26th May 2016 0 Comments
If you’re new to PYLON and Facebook Topic Data, then you’ll have some ‘first time’ learning to do, even if it’s only the concepts. As you start using PYLON, you’ll need to expand on your original learning, either to make full use of the features or as your learning needs move from the conceptual to the procedural. Lastly, if things don’t go to plan or you’re making changes, you may need to re-visit training some time later.
We have deployed a new learning site along with an extended curriculum of content to support technical and non-technical learners at all moments of need. Access is available for the duration of your customer success subscription.
Non-Technical
For non-technical learners, we have a new selection of courses which cover the PYLON concepts and understanding the data without diving into APIs, programming and client libraries. After logging in, go to the course catalog and select look for courses in the ‘Basic’ difficulty.
  • Understanding PYLON Concepts (coming soon)
  • Understanding PYLON for Facebook Topic Data
  • Understanding PYLON for Facebook Topic Data Use Cases
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Technical
For the more technical learners, there are courses covering the implementation of the technology. Look for courses in the ‘Intermediate’ or ‘Advanced’ difficulty.
  • Implementing PYLON for Facebook Topic Data
  • Implementing PYLON Premium Features
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These technical courses include access to a lab environment where you can program against our live platform using the API and Python client library. Each technical module includes a set of exercise questions to be completed in the lab.
 
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Help!
If something’s not making sense, you can book an instructors for a 20 minute 1:1 help session. This could be to clarify something in the tutorials, help with a lab exercise or any questions related to the training.
Access to the PYLON Concepts is open to all. Access to the Facebook Topic Data content is open to any company who has completed our Facebook approval process. Contact [email protected] for more details or to request accounts.

Written by Paul Smart

Paul Smart is DataSift's training guru.

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