Overview
Discover how big data shapes media and society by upskilling in data analysis, mining, and visualisation.
Syllabus
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- Introduction to Big Data and Media
-- Overview of Big Data
-- Importance of Big Data in Media
-- Case Studies: Success Stories in Media Using Big Data
- Understanding Media Data Sources
-- Social Media Analytics
-- Streaming Services and Viewing Data
-- News and Online Content Analysis
- Data Collection Techniques
-- Web Scraping for Media Data
-- APIs and Real-Time Data Access
-- Data Ethics and Privacy Concerns
- Data Processing and Cleaning
-- Handling Large Datasets
-- Data Cleaning and Preparation
-- Tools for Data Processing (Python, R)
- Data Analysis Techniques
-- Descriptive Analytics in Media
-- Predictive Modeling for Trending Topics
-- Sentiment Analysis
- Identifying Media Trends
-- Trend Detection Algorithms
-- Image and Video Content Analysis
-- Natural Language Processing in Media
- Machine Learning Applications
-- Recommender Systems for Media Content
-- Clustering and Classification in Media Datasets
-- Case Studies of Machine Learning in Media
- Visualization and Communication of Insights
-- Data Visualization Tools (Tableau, Power BI)
-- Storytelling with Data in Media
-- Effective Communication of Data-Driven Insights
- Project: Media Trend Analysis
-- Project Proposal and Data Selection
-- Data Analysis and Trend Prediction
-- Presentation of Findings and Recommendations
- Conclusion and Future Trends
-- Emerging Technologies in Big Data and Media
-- The Future of Media Consumption and Engagement
-- Preparing for a Career in Data-Driven Media Analysis
Taught by
Tags
On-Demand
