Certified Specialist Programme in Data Journalism Research for Digital Platforms
-- viewing now**Data Journalism Research for Digital Platforms** This programme is designed for data journalists and researchers who want to develop advanced skills in data analysis and visualisation for digital media. It focuses on the application of data journalism techniques to digital platforms, including social media, online news sites, and data visualisation tools.
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About this course
Through a combination of online courses and workshops, participants will learn how to collect, analyse, and visualise data to tell compelling stories and hold those in power accountable.
Whether you're a seasoned journalist or just starting out, this programme will help you stay up-to-date with the latest trends and techniques in data journalism.
So why not explore this programme further and take your data journalism skills to the next level?
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Course details
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Data Journalism Fundamentals: This unit covers the essential skills and knowledge required for data journalism, including data visualization, storytelling, and research methods. •
Data Sources and Collection: This unit focuses on identifying and collecting data from various sources, including government databases, social media, and online archives, with an emphasis on data quality and verification. •
Data Analysis and Visualization: This unit teaches students how to analyze and visualize data using various tools and techniques, including statistical software, data visualization libraries, and programming languages like R and Python. •
Data Storytelling and Narrative Techniques: This unit explores the art of storytelling in data journalism, including how to craft compelling narratives, create engaging visuals, and convey complex information to audiences. •
Digital Platforms and Tools: This unit introduces students to the various digital platforms and tools used in data journalism, including data management systems, content management systems, and social media platforms. •
Data Journalism Ethics and Best Practices: This unit covers the ethical considerations and best practices in data journalism, including data protection, privacy, and transparency, as well as how to handle conflicts of interest and source management. •
Research Methods and Design: This unit teaches students how to design and conduct research studies in data journalism, including how to formulate research questions, collect and analyze data, and draw conclusions. •
Data-Driven Journalism and Investigative Reporting: This unit focuses on the application of data journalism techniques in investigative reporting, including how to use data to uncover stories, expose wrongdoing, and hold power to account. •
Data Journalism for Social Impact: This unit explores the potential of data journalism to drive social change, including how to use data to address social issues, promote transparency, and advocate for human rights. •
Advanced Data Journalism Techniques: This unit covers advanced techniques in data journalism, including machine learning, natural language processing, and geospatial analysis, as well as how to integrate these techniques into data journalism workflows.
Data Journalism Fundamentals: This unit covers the essential skills and knowledge required for data journalism, including data visualization, storytelling, and research methods. •
Data Sources and Collection: This unit focuses on identifying and collecting data from various sources, including government databases, social media, and online archives, with an emphasis on data quality and verification. •
Data Analysis and Visualization: This unit teaches students how to analyze and visualize data using various tools and techniques, including statistical software, data visualization libraries, and programming languages like R and Python. •
Data Storytelling and Narrative Techniques: This unit explores the art of storytelling in data journalism, including how to craft compelling narratives, create engaging visuals, and convey complex information to audiences. •
Digital Platforms and Tools: This unit introduces students to the various digital platforms and tools used in data journalism, including data management systems, content management systems, and social media platforms. •
Data Journalism Ethics and Best Practices: This unit covers the ethical considerations and best practices in data journalism, including data protection, privacy, and transparency, as well as how to handle conflicts of interest and source management. •
Research Methods and Design: This unit teaches students how to design and conduct research studies in data journalism, including how to formulate research questions, collect and analyze data, and draw conclusions. •
Data-Driven Journalism and Investigative Reporting: This unit focuses on the application of data journalism techniques in investigative reporting, including how to use data to uncover stories, expose wrongdoing, and hold power to account. •
Data Journalism for Social Impact: This unit explores the potential of data journalism to drive social change, including how to use data to address social issues, promote transparency, and advocate for human rights. •
Advanced Data Journalism Techniques: This unit covers advanced techniques in data journalism, including machine learning, natural language processing, and geospatial analysis, as well as how to integrate these techniques into data journalism workflows.
Career path
| **Data Journalist** | A data journalist is responsible for collecting, analyzing, and presenting data in a clear and concise manner to tell a story. They work with editors, producers, and other journalists to create engaging content. |
|---|---|
| **Digital Media Specialist** | A digital media specialist creates and implements digital media strategies to reach target audiences. They work with data journalists to develop and produce digital content. |
| **Data Analyst** | A data analyst works with data journalists to analyze and interpret data. They use statistical techniques and data visualization tools to help tell stories with data. |
| **Researcher** | A researcher in data journalism conducts in-depth research to gather data and information. They work with data journalists to develop and refine research questions. |
| **Storyteller** | A storyteller in data journalism uses data to tell compelling stories. They work with data journalists to develop and present data-driven narratives. |
Entry requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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CERTIFIED SPECIALIST PROGRAMME IN DATA JOURNALISM RESEARCH FOR DIGITAL PLATFORMS
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London School of Planning and Management (LSPM)
Awarded on
05 May 2025
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