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Jean Burgess, Kim Osman, Axel Bruns, Tim Highfield, Ehsan Dehghan, Edward Hurcombe, and Silvia Montana

Most FutureLearn courses run multiple times. Every run of a course has a set start date but you can join it and work through it after it starts. Find out more This course is for anyone who wants to gain insight into social media analysis, develop a critical understanding of how digital media are used and gain skills using three digital tools. This course will allow learners without coding skills to access, analyse and visualise their own social media data.

Topics Covered

Read more

Most FutureLearn courses run multiple times. Every run of a course has a set start date but you can join it and work through it after it starts. Find out more This course is for anyone who wants to gain insight into social media analysis, develop a critical understanding of how digital media are used and gain skills using three digital tools. This course will allow learners without coding skills to access, analyse and visualise their own social media data.

Topics Covered

  • The role and structures of social media conversations
  • Methods for and implications of gathering data
  • Key metrics used for analysing Twitter
  • Methods for identifying trends in social data
  • The theory of social networks
  • Methods for creating and interpreting data visualisations

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Reviews summary

Social media analytics: introduction for non-coders

According to learners, Social Media Analytics: Using Data to Understand Public Conversations is a largely positive experience, particularly for those new to the field. Students say it provides a solid foundation in understanding social media conversations and analytics concepts. Many find the clear explanations and useful tools and demonstrations helpful, especially for non-coders. However, some reviewers feel the course lacks depth for intermediate learners and note that the tools and data can feel outdated, a potential concern for those seeking the latest techniques. Overall, it's seen as a strong introductory course but may require supplemental learning for advanced application.
Practical tool demos found helpful.
"Found the tool demonstrations very useful and practical."
"The practical part with tools was helpful..."
"The data visualization module was particularly good."
"I appreciated the practical examples and tool walkthroughs provided."
Concepts and theory are explained simply.
"Excellent course covering key concepts... explanations were clear."
"Explained complex ideas clearly."
"The network analysis concepts were well explained."
"I found the concepts to be presented in a very understandable way."
Provides a strong intro for newcomers to analytics.
"Really enjoyed this course. It gave me a solid foundation for understanding public conversations online."
"Fantastic introductory course! It demystifies social media data analysis for non-programmers."
"Useful course for beginners. Explained complex ideas clearly. ... a good starting point."
"I feel I have gained a solid foundation in social media analytics after taking this course."
Challenges with assignments or support noted.
"I struggled with some of the assignments and wished there was more support. Forum wasn't very active."
May be too basic for experienced learners.
"Decent introduction. Covers the basics but doesn't go into much depth."
"The course is okay, but it's quite basic. If you already know a bit... this might be too elementary."
"Provides a good starting point but you'll need more advanced courses for deeper skills."
Tools and data used may not be current.
"Disappointed... The tools used felt outdated, and the data provided was not current."
"Outdated information and tools. The course needs a major update."
"Some data sets seemed a little old."
"I expected more practical, hands-on exercises using current platforms."

Career center

Learners who complete Social Media Analytics: Using Data to Understand Public Conversations will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Social Media Analytics: Using Data to Understand Public Conversations.
This classic book by Edward Tufte must-read for anyone interested in data visualization. It covers a wide range of topics, from the principles of visual perception to the design of effective charts and graphs.
Seminal work on the grammar of graphics, a formal language for describing data visualizations. It covers a wide range of topics, from the basics of the grammar of graphics to the use of the grammar of graphics to create a variety of charts and graphs.
Focuses on metrics for learner success in online education, providing a detailed guide to using metrics to track and assess the progress and effectiveness of students, learners, and educational programs.
Foundational text for understanding the different approaches to research design, including qualitative, quantitative, and mixed methods. It provides a comprehensive overview of the research process, which is essential background knowledge for data gathering. It is commonly used as a textbook in academic institutions and valuable reference tool for students and researchers alike.
Provides a comprehensive overview of Twitter, covering topics such as the platform's history, culture, and impact on society.
Provides practical advice on a wide range of software development topics, emphasizing best practices and effective tool usage. It's highly relevant for gaining a broad understanding of the software development landscape and the tools used within it. It serves as a valuable reference for developers at all stages.
Focuses on writing readable, maintainable, and well-structured code. is crucial for understanding how software tools support the creation of clean code. It's a widely recommended read for developers seeking to improve their coding practices and is considered a classic in the field.
This handbook offers a comprehensive overview of the various methods used in social media research. It is an excellent reference tool for researchers and students looking to understand the different approaches to collecting, analyzing, and interpreting social media data. It covers a wide range of topics, providing both breadth and depth to the understanding of social media analysis methodologies.
A foundational book on the principles and practices of continuous delivery, detailing how automation and tools are used to streamline the software release process. It's highly relevant for understanding the application of software tools in achieving faster and more reliable deployments.
Provides a comprehensive overview of the digital media revolution, from its origins to its impact on our lives.
Tells the story of Twitter's founding and early years. It's a fascinating look at how the platform came to be and how it has evolved over time.
Provides a practical guide to using metrics to assess and improve student learning, covering topics such as data collection, analysis, and interpretation. It offers practical tips for leaders and practitioners on how to use metrics to improve their institutions.
Provides a catalog of refactorings and explains how to improve the design of existing code without changing its external behavior. It's fundamental to maintaining healthy codebases and understanding how tools can support this process. A cornerstone text for professional developers.
Provides a comprehensive overview of metrics for measuring educational outcomes, discussing their importance, how to collect and use data, and how to interpret and use the results, with a focus on how educators can use metrics to improve their teaching.
Provides a comprehensive overview of data visualization, covering the basics of visual perception, data types, and chart types. It great resource for beginners who want to learn the fundamentals of data visualization.
Provides a comprehensive overview of educational measurement and evaluation, discussing its importance, how to collect and use data, and how to interpret and use the results, with a focus on how educators can use measurement and evaluation to improve their teaching.
A comprehensive guide to Git, a widely used version control system in software development. Understanding Git is essential for collaborating on software projects and managing code changes, making this book highly relevant to the topic of software tools. It's a standard reference and helpful for both newcomers and experienced users.
Social media data is often in text format, making this book highly relevant for analyzing the content of social media interactions. It introduces a framework for using text as data in social science research, incorporating machine learning techniques. is valuable for those looking to perform in-depth analysis of textual data from social media.
This practical guide focuses on technical data gathering from the web using Python. It is highly relevant for those interested in automated data collection from online sources. It serves as a useful reference and provides hands-on examples for implementing web scraping techniques.
Sentiment analysis key technique in social media analysis, particularly for understanding public opinion and attitudes expressed online. provides a comprehensive overview of sentiment analysis, covering methods and applications. It's a valuable resource for those focusing on analyzing the emotional and opinion-based content in social media data.
This textbook provides a unified introduction to computational social science, covering methodologies relevant to social media analysis such as automated social information extraction and social network analysis. It's suitable for undergraduates and provides a solid theoretical and methodological background for analyzing social phenomena using computational methods.
Explores the principles and practices of DevOps, a culture and methodology heavily reliant on automation and various software tools for continuous integration, delivery, and deployment. provides crucial context on how software tools are used in modern software development workflows. It's valuable for understanding contemporary practices.
Bridges the gap between statistics and data science, providing essential statistical concepts and demonstrating their application using R and Python. It is highly relevant for understanding the quantitative aspects of data gathering and analysis. It serves as a useful reference tool and is suitable for those with some programming experience.
Offers an interdisciplinary approach to understanding networks and collective behavior, drawing on economics, sociology, and computer science. It provides foundational knowledge about how individuals interact within connected systems, which is highly relevant to understanding the dynamics of social media. It's often used as a textbook and is valuable for gaining a broad understanding of the underlying principles of social networks.
This practical guide focuses on using Python for social media analytics. It covers acquiring, cleaning, and analyzing social media data using Python libraries. It's particularly useful for those who want to apply programming skills to social media analysis and gain hands-on experience with relevant tools and techniques.
Social network analysis fundamental component of social media analysis, focusing on the structure and dynamics of relationships between users. provides an introduction to the concepts and methods of social network analysis, making it essential for understanding the relational aspects of social media data. It's a classic text in the field.
Provides a guide to conducting social research in the digital age, covering topics such as collecting digital data (including from social media), designing digital experiments, and ethical considerations. It's a valuable resource for researchers and students interested in applying social science methods to digital data sources like social media.
Explores the relationship between digital media and society, examining how digital media is shaping our social and political lives.
Focuses on algorithms for mining massive datasets, with many examples drawn from the web and online media. While not solely focused on social media, the techniques covered are directly applicable to analyzing large-scale social media data. It's a valuable resource for understanding the computational challenges and approaches to big data analysis in the context of social platforms and is often used in computer science programs.
Provides a comprehensive overview of the social science research on the impact of social media on various aspects of society. Written by a computational social scientist, it explores topics such as fake news and the effects of advertising, offering insights into contemporary issues in social media. It's a good resource for understanding the broader implications of social media analysis.
Provides an introduction to the field of social media mining, covering key concepts and techniques for analyzing social media data. It is suitable for students and researchers looking for a foundational understanding of the computational aspects of social media analysis. It can serve as a textbook for introductory courses.
Provides a strong foundation in the fundamental principles of data science and data-analytic thinking, which are essential for effective social media analysis. It helps in understanding how to extract useful knowledge and business value from data. While not exclusively focused on social media, its concepts are directly applicable and provide necessary background knowledge for anyone serious about analyzing social media data for business insights.
Provides a thorough introduction to the Linux command line, a fundamental tool for many software development tasks. is excellent for gaining foundational knowledge in using command-line tools, which are integral to working with various software tools and environments. It's suitable for beginners.
Delves into the fundamental concepts and challenges of building data systems, which often involve a variety of software tools for databases, distributed systems, and processing. It provides a deep understanding of the systems that software tools operate within and is highly relevant for those working with large-scale data.
A practical guide to using Docker, a popular containerization platform. Containerization key contemporary software tool for packaging and deploying applications, making this book highly relevant for understanding modern deployment workflows. It useful reference for developers and operations professionals.
Covers Kubernetes, an open-source container orchestration system. As containerization becomes more prevalent, understanding orchestration tools like Kubernetes is essential for managing complex applications, making this book relevant to contemporary software toolchains. It's a good resource for those working with containerized applications.
Focuses on the critical aspect of data quality, which is paramount in data gathering. It covers concepts, methodologies, and techniques for ensuring high-quality data. It directly addresses a key challenge in data gathering and valuable reference.
Examines how the internet and social tools facilitate group action and organization without traditional structures. It provides a foundational understanding of the social and organizational impact of connected technologies, which is highly relevant to the study of social media. It's considered a classic in understanding the early impact of social technologies.
Identifies common mistakes and inefficient practices when working with SQL databases, which are key software tools for data management. It helps deepen understanding of effective database interaction and valuable reference for developers working with databases.
Critical examination of how technology companies, particularly those in the social media space, collect and use vast amounts of personal data for profit. It provides crucial context on the economic and societal implications of social media data, offering a deeper understanding of the power dynamics at play. It's essential reading for anyone studying social media from a critical perspective.
Offers a practical and visual introduction to continuous delivery pipelines and the tools involved. It's a good resource for understanding the modern application of software tools in the delivery process and complements the more theoretical 'Continuous Delivery' book. Suitable for those new to CD concepts.

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