Unlocking Media Trends with Big Data Technology

Posted 10 days 4 hours ago by Communication University of China

Study Method : Online
Duration : 7 weeks
Subject : IT & Computer Science
Overview
Discover how big data shapes media and society by upskilling in data analysis, mining, and visualisation.
Course Description

Leverage big data analytics for the digital media industry

Imagine knowing exactly which film genre will capture audiences’ attention or understanding social media trends before they go viral. Data analysis makes this possible.

From the experts at the Communications University of China (CUC), this seven-week course explores the key aspects of big data and helps you develop practical, career-ready skills to analyse, mine, and visualise media data effectively.

Build a foundation in big data and data mining

You’ll kick off this course by understanding what big data is all about. You’ll learn its core concepts, development trends within the media industry, and gain insights into its evolving applications.

You’ll then explore data mining processes and discover how big data is transforming fields such as data journalism and media analysis.

Master data acquisition techniques, from data scraping tools to APIs

Once you’ve laid these foundations, you’ll dive into data scraping techniques, including HTML, regular expressions, and tools like Gooseeker and Python.

You’ll also learn how to leverage APIs for efficient data acquisition and integration across platforms.

Develop text and network analysis skills

Next, you’ll extract insights from content with tokenization, keyword extraction, and sentiment analysis.

Plus, you’ll gain essential skills in network analysis, learning how to map and interpret social networks, relationships, and the flow of information across digital platforms.

Present insights with data visualisation

On the final weeks of this course, you’ll learn to transform raw data into clear, compelling visual stories using tools like Tableau and Echart.

Through hands-on practice and industry-relevant case studies, you’ll quickly master these techniques and be able to effectively communicate your insights to diverse audiences.

This course is designed for learners interested in the intersection of big data and the media industry. If you are looking to get into or already work in journalism, communication, new media, artificial intelligence, and data science, this course will help you develop practical skills in data mining, data analysis, text analysis, and visualisation to enhance media applications.

Requirements

This course is designed for learners interested in the intersection of big data and the media industry. If you are looking to get into or already work in journalism, communication, new media, artificial intelligence, and data science, this course will help you develop practical skills in data mining, data analysis, text analysis, and visualisation to enhance media applications.

Career Path
  • Improve your understanding of big data applications in media. By mastering data acquisition, network analysis, and visualisation techniques, you'll enhance your skills.
  • Practice key skills in data acquisition, network analysis, and visualisation. Through hands-on activities, you can reflect on your learning and effectively showcase your competencies to potential employers.
  • Solve real-world problems with big data techniques. By applying data acquisition and analysis skills, you'll reflect on your learning and showcase your problem-solving abilities.
  • Explore big data concepts in media. Through hands-on projects, you'll reflect on your learning and demonstrate your ability to tackle data challenges.
  • Collaborate on big data projects in media. Through teamwork, you'll reflect on your experiences, enhancing your communication skills.
  • Create data-driven projects in media. You'll reflect on your learning and be able to demonstrate innovation in a data-centric environment.