Marketing data to Jupyter notebooks & interactive dashboards

API data >> DataFrame >> Interactive Dashboard >> Online deployment

Our next guest will be Jérémy Ravenel, the CEO of naas.ai and Elias Dabbas, the creator of advertools. We'll share how to use Python to extract campaign data from Facebook Ads and Google Ads and join it with Google Analytics data using Python. We'll also learn how to visualize the data and deploy a dashboard using plotly and dash.

Topics covered

• Connecting ad and analytics data using Python
• Creation of Jupyter notebook for slicing and dicing and visualising the data interactively
• How to deploy and host Jupyter notebook and plotly dashboard

About Elias
Elias works in digital marketing, helping businesses at various sizes achieve a better online presence and better business results.
He is the author and maintainer of advertools, an open-source library for various online marketing tasks in SEO, SEM, text analysis, and social media.
He is also the author of the book Interactive Dashboards and Data Apps with Plotly and Dash.

Jérémy
Jérémy is the CEO of naas.ai a Jupyter Notebooks-as-a-service platform which is democratizing data science with notebooks, low-code formulas & templates.