Masterclass Certificate in Data Journalism Techniques for Digital Platforms
-- viewing nowData Journalism Techniques for Digital Platforms is an online course that teaches you the skills to create engaging stories in the digital age. Data journalism is a rapidly growing field that requires a unique blend of storytelling, research, and technical skills.
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About this course
This course is designed for digital journalists and aspiring journalists who want to learn how to effectively cover news and events in the digital space.
Through a series of video lessons and interactive exercises, you'll learn how to research and analyze data, create interactive visualizations, and write compelling stories for digital platforms.
By the end of this course, you'll have the skills to create high-quality, data-driven stories that engage and inform your audience.
So why wait? Enroll in Data Journalism Techniques for Digital Platforms today and start creating the stories that shape the digital conversation.
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Course details
•
Data Journalism Fundamentals: This unit covers the basics of data journalism, including data sources, data cleaning, and data visualization. It provides an introduction to the field and sets the stage for more advanced topics. •
Data Storytelling: In this unit, students learn how to effectively tell stories with data, using techniques such as narrative structure, character development, and visual storytelling. Data visualization and data-driven journalism are also covered. •
Data Analysis and Visualization Tools: This unit focuses on the technical skills required for data journalism, including tools such as Excel, SQL, Tableau, and Power BI. Students learn how to collect, clean, and analyze data, as well as create interactive visualizations. •
Data-Driven Investigations: In this unit, students learn how to conduct in-depth investigations using data, including research methods, data collection, and data analysis. They also learn how to write compelling narratives and create engaging visualizations. •
Data Ethics and Best Practices: This unit covers the ethical considerations of data journalism, including data protection, privacy, and bias. Students learn how to ensure the accuracy and reliability of their data and how to avoid common pitfalls. •
Social Media and Data Journalism: In this unit, students learn how to use social media to gather and analyze data, as well as how to create engaging social media content. They also learn how to use social media analytics tools to track engagement and reach. •
Data Journalism for Digital Platforms: This unit focuses on the specific challenges and opportunities of data journalism in digital platforms, including online publishing, mobile devices, and social media. Students learn how to create data-driven content for digital audiences. •
Data Visualization for Digital Platforms: In this unit, students learn how to create effective data visualizations for digital platforms, including interactive visualizations, infographics, and data-driven storytelling. •
Data Journalism and Machine Learning: This unit introduces students to the basics of machine learning and how to apply it to data journalism, including natural language processing, predictive modeling, and data mining. •
Data Journalism Business Models: In this unit, students learn about the different business models for data journalism, including subscription-based models, advertising, and sponsored content. They also learn how to pitch stories and secure funding for data journalism projects.
Data Journalism Fundamentals: This unit covers the basics of data journalism, including data sources, data cleaning, and data visualization. It provides an introduction to the field and sets the stage for more advanced topics. •
Data Storytelling: In this unit, students learn how to effectively tell stories with data, using techniques such as narrative structure, character development, and visual storytelling. Data visualization and data-driven journalism are also covered. •
Data Analysis and Visualization Tools: This unit focuses on the technical skills required for data journalism, including tools such as Excel, SQL, Tableau, and Power BI. Students learn how to collect, clean, and analyze data, as well as create interactive visualizations. •
Data-Driven Investigations: In this unit, students learn how to conduct in-depth investigations using data, including research methods, data collection, and data analysis. They also learn how to write compelling narratives and create engaging visualizations. •
Data Ethics and Best Practices: This unit covers the ethical considerations of data journalism, including data protection, privacy, and bias. Students learn how to ensure the accuracy and reliability of their data and how to avoid common pitfalls. •
Social Media and Data Journalism: In this unit, students learn how to use social media to gather and analyze data, as well as how to create engaging social media content. They also learn how to use social media analytics tools to track engagement and reach. •
Data Journalism for Digital Platforms: This unit focuses on the specific challenges and opportunities of data journalism in digital platforms, including online publishing, mobile devices, and social media. Students learn how to create data-driven content for digital audiences. •
Data Visualization for Digital Platforms: In this unit, students learn how to create effective data visualizations for digital platforms, including interactive visualizations, infographics, and data-driven storytelling. •
Data Journalism and Machine Learning: This unit introduces students to the basics of machine learning and how to apply it to data journalism, including natural language processing, predictive modeling, and data mining. •
Data Journalism Business Models: In this unit, students learn about the different business models for data journalism, including subscription-based models, advertising, and sponsored content. They also learn how to pitch stories and secure funding for data journalism projects.
Career path
| **Career Role** | **Description** |
|---|---|
| Data Journalist | A data journalist collects, analyzes, and presents data to tell a story, often using digital platforms to disseminate their work. |
| Digital Media Producer | A digital media producer creates engaging digital content, such as videos, podcasts, and social media posts, to convey information and tell stories. |
| Data Analyst | A data analyst examines and interprets data to identify trends, patterns, and insights, often using data visualization techniques to communicate findings. |
| Storyteller | A storyteller uses narrative techniques to convey information and engage audiences, often incorporating data and visualizations to enhance the story. |
| Data-Driven Storyteller | A data-driven storyteller uses data and visualization techniques to tell a story, often using digital platforms to disseminate their work. |
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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MASTERCLASS CERTIFICATE IN DATA JOURNALISM TECHNIQUES FOR DIGITAL PLATFORMS
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who has completed a programme at
London School of Planning and Management (LSPM)
Awarded on
05 May 2025
Blockchain Id: s-1-a-2-m-3-p-4-l-5-e
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