This specialization is designed for post-graduate students aiming to develop advanced skills in social media analytics and its practical applications. Through four comprehensive courses, learners will explore key topics such as machine learning, natural language processing, sentiment analysis, and network analysis, equipping them to analyze complex social media data and derive actionable insights. By mastering data manipulation techniques and effective visualization tools, students will be prepared to influence consumer behavior and enhance digital marketing strategies. Collaborating with industry partners, the specialization emphasizes real-world applications, enabling students to navigate the evolving landscape of social media analytics effectively. Upon completion, learners will possess the expertise needed to leverage analytics for informed decision-making, drive impactful results, and elevate their careers in the dynamic field of digital communication. This specialization will empower you with the knowledge and skills to make data-driven decisions, making you a valuable asset in any organization.

Applied Learning Project

In this specialization, learners will engage in various hands-on projects that apply advanced techniques such as natural language processing (NLP), social network analysis (SNA), and data visualization to real-world social media data. Projects span across different areas including processing and analyzing social media text, designing sentiment analysis classifiers, and performing topic modeling to uncover trends and insights from online content. Learners will also explore network visualization and statistical analysis, gaining practical skills in using tools like NLTK, gensim, and PyLDAvis. These projects emphasize solving authentic problems such as understanding online behavior, influence, and engagement patterns, while critically evaluating the challenges and limitations of social media data analysis.