Everyone is using social media to share their life experiences, initiate ideas and provide opinions in a free and open way. Businesses are hence interested in understanding what people think and say about their products and services. They are augmenting their business applications to extract, understand and analyze social media data about them. If you are working or hoping to work in the analytics world, you need to enrich your skill set with social media analytics to improve your market value.
This Social Media Analytics with Python course helps you achieve exactly that ! It introduces you to the tools and technologies required to extract social media data. Twitter, Facebook and Google interfaces are covered. It then walks through multiple use cases for analyzing this data and generating business insights. The examples range from simple histograms to advanced machine learning techniques. After completing this course, you will be able to execute end-to-end social media analytics projects and integrate them with existing business applications.
This course requires previous python experience.
Data present in Social media - content, links and comments
What challenges exist that are specific to social media analytics
An overview of REST API technologies
An introduction to authentication and authorization with OAuth
An overview of twitter data, authentication and authorization.
Connect to Google+ and extract data using python modules
An overview of Facebook data, authentication and authorization
Connect to Facebook and extract data using Python modules
Frequency Analysis use case
Sentiment Analysis use case
Link Analysis use case
Action Analysis use case
Mining frequently occurring patterns in social media
Mining and analyzing data in real time - sentiment analysis
Overview of machine learning - supervised and unsupervised learning
Converting text into numeric representation with TF-IDF
Naive Bayes Classification
V2 Maestros is dedicated to teaching big data / data science at affordable costs to the world. Our instructors have real world experience practicing big data and data science and delivering business results. Big Data Science is a hot and happening field in the IT industry. Unfortunately, the resources available for learning this skill are hard to find and expensive. We hope to ease this problem by providing quality education at affordable rates, there by building data science talent across the world.