Global Certificate in Social Media Data Interpretation

• Social Media Data Analysis: An introductory unit covering the basics of social media data analysis, its importance, and the various social media platforms from which data can be extracted.
• Data Collection Techniques: This unit will focus on different tools and techniques for collecting social media data, such as APIs, web scraping, and social media analytics tools.
• Data Processing and Cleaning: A unit dedicated to teaching students how to process and clean social media data to ensure that the data is accurate and ready for analysis.
• Data Visualization Techniques: This unit will cover different techniques for visualizing social media data, including charts, graphs, and infographics.
• Statistical Analysis: A unit that will introduce students to statistical analysis methods, such as regression analysis, correlation analysis, and hypothesis testing, that can be used to analyze social media data.
• Sentiment Analysis: This unit will focus on sentiment analysis and how it can be used to analyze social media data to determine customer opinions, attitudes, and emotions.
• Social Media Listening and Monitoring: A unit that will teach students how to monitor social media conversations and listen to customer feedback to improve their brand's online presence.
• Data-Driven Decision Making: The final unit will focus on how to use social media data insights to make informed business decisions that can impact the organization's overall strategy and goals.