Online Course – Johns Hopkins University Certified Professional Internship in Social Media Analytics

Master social media data analysis for meaningful insights. Gain skills in social media data analysis, using machine learning techniques and visualization tools for impressive insights.

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Professional Certificate

Beginners Intermediate level Advanced involved

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Network analysis
  • Social media analysis
  • Modeling of topics
  • Data display
  • Natural Language Processing (NLP)
  • Emotion analysis
  • Data manipulation
  • Machine learning

What you will learn in the course

Courses for which the course is suitable

  • Social Media Analyst
  • Data Analysis Specialist
  • Digital Marketing Manager
  • Emotion analyzer
  • Machine Learning Expert
  • Social Network Analyst
  • Data analysis model developer
  • Natural Language Processing (NLP) Specialist
  • Data Analyst
  • Digital Marketing Consultant

Internship – 4-part course series

This specialization is designed for graduate students who are interested in developing advanced skills in social media analysis and its practical applications. Over four comprehensive courses, learners will explore key topics such as:

  • Machine learning
  • Natural language processing
  • Emotion analysis
  • Network analysis

And this learning will enable them to analyze complex social media data and derive actionable insights. By mastering data manipulation techniques and effective visual tools, students will be prepared to influence consumer behavior and upgrade digital marketing strategies.

In collaboration with industry partners, the internship emphasizes practical applications, enabling students to effectively navigate the evolving landscape of social media analytics. Upon completion of the internship, learners will possess the expertise needed to:

  • Use analytics to make informed decisions
  • Drive significant results
  • Upgrade their careers in the dynamic field of digital communications

This specialization will give you the knowledge and skills to make data-driven decisions, making you a valuable asset to any organization.

Practical learning project

As part of this internship, learners will experience various practical projects that will apply advanced techniques such as:

  • Natural Language Processing (NLP)
  • Social Network Analysis (SNA)
  • Data visualization on real-world social media data

The projects range across different areas such as:

  • Social media text processing and analysis
  • Designing sentiment analysis classifiers
  • Perform topic modeling to uncover trends and insights from online content

Learners will also dive into network visualization and statistical analysis, acquiring practical skills using tools such as:

  • NLTK
  • gensim
  • PyLDAvis

These projects emphasize solving authentic problems such as:

  • Understanding online behavior
  • Influence and patterns of engagement

While critically assessing challenges and limitations in analyzing social media data.

Details of the courses that make up the specialization

Social network analysis

Course 1

  • Duration: 13 hours

Course Details

  • What you will learn:
    • Learn to calculate and interpret centrality measures to identify influential nodes in social networks.
    • Acquire skills in applying statistical models to analyze relationships and dynamics within social networks.
    • Understand how basic social theories inform network analysis and influence interpretations of social interactions.

Skills you will acquire

  • Category: Applying Social Theories
  • Category: Networking
  • Category: Data Analysis in R
  • Category: Statistical Model
  • Category: Centrality Analysis

Online influence and push

Course 2

  • Duration: 21 hours

Course Details

  • What you will learn:
    • Understand the basics of social media analysis 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 practical skills in managing social media data using APIs for in-depth analysis.

Skills you will acquire

  • Category: Understanding Influence Dynamics
  • Category: Critical Thinking in Digital Contexts
  • Category: Social Network Analysis (SNA)
  • Category: Recognizing Cognitive Biases
  • Category: API Data Management

Simulation of intervention networks

Course 3

  • Duration: 12 hours

Course Details

  • What you will learn:
    • Master the application of relational algebra operations to query and manipulate complex data for in-depth analysis.
    • Developed meaningful network visualizations using design principles that clarify the atmosphere and awareness of complex data.
    • Learn strategies for intervening in networks to influence behaviors and ideas, effectively exploiting network dynamics.

Skills you will acquire

  • Category: Information Design
  • Category: Strategic Intervention Skills
  • Category: Network Simulation Techniques
  • Category: Relational algebra operations
  • Category: Understanding Network Dynamics

Artificial Intelligence in Social Media Analysis

Course 4

  • Duration: 16 hours

Course Details

  • What you will learn:
    • Learn to define and evaluate machine learning classifiers for effective data analysis.
    • Gain practical experience in processing and decoding text data from social media using NLP techniques.
    • Explore methodologies for conducting sentiment analysis on social media content to assess public opinion.
    • Master topic modeling techniques, which allow for extracting themes from social media conversations.

Skills you will acquire

  • Category: Topic Model
  • Category: Text Processing
  • Category: Machine Learning Classification
  • Category: Sentiment Analysis Techniques
  • Category: Building semantic networks