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.
Spécialisation Social Media Analytics
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.
Instructeur : Ian McCulloh
Inclus avec 
(9 avis)
Expérience recommandée
(9 avis)
Expérience recommandée
Ce que vous apprendrez
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.
Vue d'ensemble
Compétences que vous acquerrez
- Analytics
- Data Visualization
- Machine Learning
- Database Theory
- Network Analysis
- Data Manipulation
- Sociology
- Data Visualization Software
- Social Sciences
- Data Analysis
- Statistical Modeling
- Statistical Analysis
- Data Storytelling
- Graph Theory
- Text Mining
- Exploratory Data Analysis
- Social Network Analysis
- Natural Language Processing
Outils que vous découvrirez
Ce qui est inclus
Ajouter à votre profil LinkedIn
Améliorez votre expertise en la matière
- Acquérez des compétences recherchées auprès d’universités et d’experts du secteur
- Maîtrisez un sujet ou un outil avec des projets pratiques
- Développez une compréhension approfondie de concepts clés
- Obtenez un certificat professionnel auprès de Johns Hopkins University
Spécialisation - série de 4 cours
Ce que vous apprendrez
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.
Compétences que vous acquerrez
Ce que vous apprendrez
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.
Compétences que vous acquerrez
Ce que vous apprendrez
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.
Compétences que vous acquerrez
Ce que vous apprendrez
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.
Compétences que vous acquerrez
Obtenez un certificat professionnel
Ajoutez ce titre à votre profil LinkedIn, à votre curriculum vitae ou à votre CV. Partagez-le sur les médias sociaux et dans votre évaluation des performances.
Instructeur
Offert par
Comparer avec des produits similaires
| Évaluation | ||||
|---|---|---|---|---|
| Niveau | ||||
| Compétences | ||||
| Outils | ||||
| Dernière mise à jour | ||||
| Nombre d'exercices pratiques | ||||
| Éligibilité au diplôme | ||||
| Partie de Coursera Plus |
Vous aimerez peut-être aussi
Pour quelles raisons les étudiants sur Coursera nous choisissent-ils pour leur carrière ?
Ouvrez de nouvelles portes avec Coursera Plus
Accès illimité à 10,000+ cours de niveau international, projets pratiques et programmes de certification prêts à l'emploi - tous inclus dans votre abonnement.
Faites progresser votre carrière avec un diplôme en ligne
Obtenez un diplôme auprès d’universités de renommée mondiale - 100 % en ligne
Rejoignez plus de 3 400 entreprises mondiales qui ont choisi Coursera pour les affaires
Améliorez les compétences de vos employés pour exceller dans l’économie numérique
Foire Aux 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.
Plus de questions
Aide financière disponible,