Predictive Analytics with Social Media Data
( 25 Modules )

Module #1
Introduction to Predictive Analytics
Overview of predictive analytics, its importance, and applications in social media

Module #2
Social Media Data:Sources and Collection
Types of social media data, how to collect and store it, and common challenges

Module #3
Social Media Data Preprocessing
Cleaning, transforming, and preparing social media data for analysis

Module #4
Introduction to Machine Learning
Foundations of machine learning, supervised and unsupervised learning, and model evaluation

Module #5
Supervised Learning with Social Media Data
Regression, classification, and clustering techniques for social media data

Module #6
Unsupervised Learning with Social Media Data
Dimensionality reduction, clustering, and anomaly detection techniques for social media data

Module #7
Sentiment Analysis with Social Media Data
Understanding sentiment analysis, its importance, and techniques for social media data

Module #8
Text Analytics with Social Media Data
Text preprocessing, topic modeling, and Named Entity Recognition (NER) for social media data

Module #9
Network Analysis with Social Media Data
Understanding social networks, network metrics, and community detection techniques

Module #10
Time Series Analysis with Social Media Data
Understanding time series data, trend analysis, and forecasting techniques

Module #11
Predicting User Behavior with Social Media Data
Predicting user engagement, churn, and conversion using social media data

Module #12
Influencer Identification and Analysis
Identifying and analyzing influencer marketing opportunities with social media data

Module #13
Competitor Analysis with Social Media Data
Analyzing competitors social media presence and performance

Module #14
Social Media Metrics and KPIs
Defining and tracking key performance indicators (KPIs) for social media analytics

Module #15
Python for Social Media Analytics
Introduction to Python for social media analytics, including popular libraries and tools

Module #16
R for Social Media Analytics
Introduction to R for social media analytics, including popular libraries and tools

Module #17
Tableau for Social Media Analytics
Introduction to Tableau for social media analytics, including data visualization and dashboard creation

Module #18
Big Data Analytics with Spark and Hadoop
Introduction to big data analytics with Spark and Hadoop for social media data

Module #19
Cloud Computing for Social Media Analytics
Introduction to cloud computing for social media analytics, including AWS and Google Cloud

Module #20
Data Visualization for Social Media Analytics
Introduction to data visualization principles and best practices for social media analytics

Module #21
Case Study:Sentiment Analysis for Brand Reputation
Real-world example of sentiment analysis for brand reputation monitoring

Module #22
Case Study:Predicting User Engagement
Real-world example of predicting user engagement using social media data

Module #23
Case Study:Influencer Identification and Analysis
Real-world example of influencer identification and analysis for marketing campaigns

Module #24
Case Study:Competitor Analysis for Social Media Strategy
Real-world example of competitor analysis for social media strategy development

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Predictive Analytics with Social Media Data career

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Predictive Analytics with Social Media Data ( 25 Modules )

Predictive Analytics with Social Media Data
( 25 Modules )