Description
Facebook is one of the most popular social networks in the world, which allows you to chat with friends, share messages, links, photos, and videos. Companies can create business pages to promote and sell products and services. On the other hand, users (or fans) can like and follow the pages to receive updates about the company. It is important that companies know how to use the data of this social network in their favor and Facebook provides an API (called Graph API) for extracting several types of information about your page, making it possible to apply Data Science techniques to extract important and interesting insights considering some metrics, such as: engagement, views, content distribution, clicks, and many others! Below you can see the main topics that will be implemented step by step in this course: Extract data from your Facebook page using the Graph APIExtract and analyze several types of information, such as: basic page data, views, clicks, engagement, impressions and postsAggregate page fans by language, city, country, age, and genderFind relationships between the number of likes and dislikesView important information about page engagementView the positive and negative actions of the page's fansCompare paid, organic and viral content impressionsUse time series to predict the future number of page fans using ARIMA algorithmUse the Facebook Prophet tool to predict future page engagementExtract reactions to page posts, such as the number of likes per postExtract texts from posts and apply natural language processing techniques, such as the word cloud to view the most frequent termsPerform key-word search in the postsExtract texts from comments written by the fans of the page to apply sentiment analysis to check whether the comments are positive or negativeDuring the course, we will use the Python programming language and Google Colab, so it is not necessary to spend time installing softwares on your own machine. You will be able to follow the course with a browser and an Internet connection! This is the best course if this is your first contact with social media data analysis!
