Overview
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 analyze, mine, and visualize media data effectively.
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.
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.
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.
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 visualization to enhance media applications.
Provided by FutureLearn. Categories include Big Data Courses, Data Mining Courses, Data Visualization Courses, Tableau Courses, Text Analysis Courses, and APIs Courses.
