Along with Google's search and display networks, Facebook is one of the big players when it comes to online advertising. As Facebook users interact with the platform, adding demographic information, liking particular pages and commenting on specific posts, Facebook builds a profile of that user based on who they are and what they are interested in.
This fact makes Facebook very attractive for advertisers. Advertisers can create Facebook adverts, and then create an 'Audience' for that advert or group of adverts. Audiences can be built from a range of attributes including gender, age, location and interests. This specific targeting means advertisers can tailor content appropriately for a specific audience, even if the product being marketed is the same.
For example, let us imagine a company wants to advertise its new car. They may wish to promote one set of features, performance and the 2-kW stereo, to women in their early twenties. They might decide that they want to talk about its fuel efficiency and reduced emissions to men in their thirties, and they might want to push the spacious interior and safety rating to men and women in their thirties and early forties who are interested in Families magazine and who like pages of nappy and baby clothes manufacturers.
This hands-on practical Capstone Project provides you with an opportunity to work on Facebook Ads datasets to increase the company’s ROI. You will be challenged to use your newly acquired quantitative and business communication skills to derive business insights for complex analytic problems in real-world settings.
- Friday — June 12, 2020
6:00PM - 7:30PM
Research Methods and Data Science Meetup
This Research Methods and Data Science (RMDS) meetup group is devoted to make big data & AI useful, and to promote big data technologies. It is a meet-up group bringing together people from research methodology, data science, data professional services, AI and computing in the greater Los Angeles area.
The focus of the group is about utilizing big data & AI technologies to improve data analytics & research for social good, and to promote research methods and data science innovation. On a regular base, we run workshops on big data analytics that can be applied to model and visualize open data and other complicated big data sets. Also, we will organize special meetings to discuss special data science projects, as well as data science automation and augmentation.