Advanced Certificate in Twitter Network Analysis
-- ViewingNowThe Advanced Certificate in Twitter Network Analysis is a comprehensive course designed to equip learners with essential skills for career advancement in data analysis and social media management. This program dives deep into Twitter network analysis, teaching you how to extract valuable insights from Twitter data and use them to make informed decisions.
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โข Advanced Twitter Data Collection: This unit will cover the latest techniques and tools for collecting large-scale Twitter data, including the Twitter API, Tweepy, and other third-party tools.
โข Twitter Data Cleaning and Pre-processing: This unit will focus on the essential steps of cleaning and pre-processing Twitter data, including handling missing values, removing stop words, and stemming/lemmatization.
โข Network Analysis Basics: In this unit, students will learn the fundamental concepts of network analysis, including nodes, edges, weighted vs. unweighted networks, and network metrics such as degree distribution, centrality, and clustering.
โข Analyzing Twitter Networks: This unit will cover advanced techniques for analyzing Twitter networks, including visualization, community detection, and network evolution.
โข Twitter Sentiment Analysis: This unit will explore the use of natural language processing (NLP) techniques to analyze the sentiment of Twitter data, including the use of pre-trained models and the development of custom NLP models.
โข Twitter Topic Modeling: This unit will cover the use of topic modeling techniques, such as Latent Dirichlet Allocation (LDA) and Non-negative Matrix Factorization (NMF), to identify and analyze topics in Twitter data.
โข Twitter Geospatial Analysis: This unit will focus on the use of geospatial techniques to analyze Twitter data, including the use of geographic information systems (GIS) tools and the creation of heatmaps and other geospatial visualizations.
โข Twitter Influence Analysis: This unit will explore the use of network analysis and other techniques to identify and analyze influential users in Twitter networks, including the calculation of influence scores and the identification of key opinion leaders.
โข Advanced Twitter Data Visualization: In this unit, students will learn advanced techniques for visualizing Twitter data, including the use of interactive visualizations, dynamic networks, and data storytelling.
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