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.
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Social Media Analytics Specialization
Master Social Media Analytics for Key Insights. Gain expertise in analyzing social media data, employing machine learning techniques, and utilizing visualization tools for impactful insights.
Instructor: Ian McCulloh
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What you'll learn
Develop machine learning models to analyze social media data effectively across various platforms and contexts.
Utilize natural language processing techniques to extract insights from user-generated content, improving engagement strategies.
Conduct sentiment analysis to gauge public opinion and sentiment on social media, informing brand positioning and messaging.
Create impactful network visualizations and interventions to understand and influence social dynamics within online communities.
Overview
Skills you'll gain
Tools you'll learn
What’s included
Add to your LinkedIn profile
Advance your subject-matter expertise
- Learn in-demand skills from university and industry experts
- Master a subject or tool with hands-on projects
- Develop a deep understanding of key concepts
- Earn a career certificate from Johns Hopkins University
Specialization - 4 course series
What you'll learn
Learn to calculate and interpret key centrality measures to identify influential nodes in social networks.
Gain skills in applying statistical models to analyze relationships and dynamics within social networks.
Understand how foundational social theories inform network analysis and shape interpretations of social interactions.
Skills you'll gain
What you'll learn
Understand the foundations of social media analytics and its impact on organizational behavior.
Explore theories of online influence, including the role of misinformation and platform manipulation.
Examine how cognitive biases shape beliefs and behaviors within social media networks.
Acquire hands-on skills in managing social media data using APIs for comprehensive analysis.
Skills you'll gain
What you'll learn
Master relational algebra operations to effectively query and manipulate complex datasets for insightful analysis.
Develop impactful network visualizations using design principles that enhance clarity and understanding of complex data.
Learn strategies for network interventions to influence behaviors and ideas, leveraging network dynamics effectively.
Skills you'll gain
What you'll learn
Learn to define and evaluate machine learning classifiers for effective data analysis.
Gain hands-on experience in processing and parsing social media text data using NLP techniques.
Explore methodologies for conducting sentiment analysis on social media content to gauge public opinion.
Master techniques for topic modeling, enabling the extraction of themes from social media conversations.
Skills you'll gain
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Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
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Frequently asked questions
The specialization is designed to be completed at your own pace, but on average, it is expected to take approximately 3 months to finish if you dedicate around 5 hours per week. However, as it is self-paced, you have the flexibility to adjust your learning schedule based on your availability and progress.
You are encouraged to take the courses in the recommended sequence to ensure a smoother learning experience, as each course builds on the knowledge and skills developed in the previous ones. However, you are not required to follow a specific order, and you can take the courses in the order that best suits your needs and prior knowledge.
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
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Financial aid available,