This workshop is designed to expose you to a series of examples for advanced data analytics and automation. The workshop is hands-on, with opportunities for participants to execute the real-world content marketing and analytics tasks that later can be adapted to your own work.

The workshop aims to bridge the gap between data and creativity by example, showing how Python can be used to automate repetitive content marketing tasks and gain valuable insights from data, while freeing up time for more analytically creative work.

The hands-on examples include: 1) using Python notebooks to source data and present repeatable analysis, 2) using web scraping for competitive analysis, 3) Generative AI via API, 4) Automating persona development and voice of the customer, 5) keyword clustering and content recommendations, 6) topic and trends forecasting.

Intermediate Python users will appreciate the fast pace of real-world examples with commentary that describes expert concepts. Advanced users will immediately see how they can expand on these examples after the workshop. If you are a beginner or just starting to learn Python then you may feel overwhelmed with the speed and the technical intricacies may prohibit you from keeping up with the hands-on examples during the 90-minute workshop.

Unlock the power of data analytics and automation to take your content analytics strategy to the next level!

Takeaway

• Python Notebooks: Participants will receive a series of Python notebooks that allow interactive exposure to advanced analytics and automation by example.
• Hands-on experience: This workshop is hands-on, so participants will have the opportunity to practice using Python and work on real-world content marketing tasks. This allows you to gain practical experience and immediately put your new skills into action when you return home.
• Bridging the gap between data and analytical creativity: This workshop aims to show participants how to use Python to automate repetitive content marketing tasks and gain valuable insights from data, while freeing up time for more creative work. Participants can expect to learn how to use data analytics and automation to take their content analytics strategy to the next level.