Duration
7 weeksWeekly study
3 hours100% online
How it works
Unlocking Media Trends with Big Data Technology
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.
Syllabus
Week 1
Introduction
The concept and development trends of big data
At the start of the course, we primarily introduce the basic concepts of big data, the characteristics of big data in the media industry, and its development trends.
Week 2
Data Mining and Data Journalism
The concept and development trends of big data
The concept and development trends of big data
Week 3
Data Acquisition
Data Acquisition
This chapter primarily covers the basics of data scraping
Week 4
Network Analysis
Network Analysis: Relationship Mining
Network Analysis——Relationship Mining,Case Study of Weibo Dissemination Network Mining, Basic Concepts and Characteristics of Networks, Social Network Analysis, Social Network Dissemination, Social Network Marketing...
Week 5
Data Mining
Data Mining
the foundational theories and value of data mining, basic concepts and methods of data mining, main technologies for commercial applications of data mining, a case study on the use and operation of Modeler softwar...
Week 6
Big Data Visualization
Big Data Visualization"
Introduction to Big Data Visualization,Overview of Visualization Technologies, Classification of Visualization Technologies, Data Mining and Visualization, Visualization Technologies for Different Data Types...
Week 7
Data Mining Visualization Case
Visualization Case Teaching
Creation of Personalized Word Clouds, Web Scraping Technology, : Echart Visualization Technology, : Advanced Excel Applications 1, : Advanced Excel Applications 2, Tableau Visualization Technology
When would you like to start?
Start straight away and join a global classroom of learners. If the course hasn’t started yet you’ll see the future date listed below.
Available now
Learning on this course
On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.
What will you achieve?
By the end of the course, you‘ll be able to...
- 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.
Who is the course for?
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.
Who will you learn with?
Shen Hao: Level-2 Professor (Professors in China fall into 4 levels), doctoral supervisor at Communication University of China, and Chief Scientist at the Big Data Center
Who developed the course?
Communication University of China
The Communication University of China (CUC) is one of the China’s key universities included in 211 Project and “985 Project Innovation Platform” under the Double First-Class Initiative, which is directly administered by the Ministry of Education. CUC was the first communication university founded in 1954 . In August 2004, it was renamed from Beijing Broadcasting Institute to Communication University of China.
Ways to learn | Buy this course | Subscribe & save | Limited access |
---|---|---|---|
Choose the best way to learn for you! | $79/one-off payment | $244.99 for a whole year Automatically renews | Free |
Fulfill your current learning need | Develop skills to further your career | Sample the course materials | |
Access to this course | tick | tick | Access expires 27 Mar 2025 |
Access to 1,000+ courses | cross | tick | cross |
Learn at your own pace | tick | tick | cross |
Discuss your learning in comments | tick | tick | tick |
Certificate when you're eligible | Printed and digital | Digital only | cross |
Cancel for free anytime |
Ways to learn
Choose the best way to learn for you!
Subscribe & save
$244.99 for a whole year
Automatically renews
Develop skills to further your career
- Access to this course
- Access to 1,000+ courses
- Learn at your own pace
- Discuss your learning in comments
- Digital certificate when you're eligible
Cancel for free anytime
Buy this course
$79/one-off payment
Fulfill your current learning need
- Access to this course
- Learn at your own pace
- Discuss your learning in comments
- Printed and digital certificate when you’re eligible
Limited access
Free
Sample the course materials
- Access expires 27 Mar 2025
Find out more about certificates, Unlimited or buying a course (Upgrades) Sale price available until 3 March 2025 at 23:59 (UTC). T&Cs apply. |
Find out more about certificates, Unlimited or buying a course (Upgrades)
Sale price available until 3 March 2025 at 23:59 (UTC). T&Cs apply.
Learning on FutureLearn
Your learning, your rules
- Courses are split into weeks, activities, and steps to help you keep track of your learning
- Learn through a mix of bite-sized videos, long- and short-form articles, audio, and practical activities
- Stay motivated by using the Progress page to keep track of your step completion and assessment scores
Join a global classroom
- Experience the power of social learning, and get inspired by an international network of learners
- Share ideas with your peers and course educators on every step of the course
- Join the conversation by reading, @ing, liking, bookmarking, and replying to comments from others
Map your progress
- As you work through the course, use notifications and the Progress page to guide your learning
- Whenever you’re ready, mark each step as complete, you’re in control
- Complete 90% of course steps and all of the assessments to earn your certificate
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