Postgraduate Certificate in Data Journalism Tools for Digital News
-- viewing nowData Journalism Tools for Digital News Develop the skills to tell compelling stories in the digital age with our Postgraduate Certificate in Data Journalism Tools for Digital News. Data journalism is a rapidly growing field that requires a unique blend of technical and storytelling skills.
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Course details
Data Journalism Fundamentals: This unit covers the essential skills and knowledge required for data journalism, including data visualization, storytelling, and ethics. •
Data Wrangling and Cleaning: This unit teaches students how to collect, clean, and preprocess data for analysis and visualization, using tools such as Excel, SQL, and Python. •
Data Visualization with Tableau: This unit focuses on using Tableau to create interactive and dynamic visualizations, including dashboards, charts, and maps. •
Data Storytelling with Narrative Techniques: This unit explores the art of storytelling in data journalism, including how to craft compelling narratives, use visual elements, and convey complex information in an engaging way. •
Data Analysis with Python and R: This unit introduces students to the programming languages Python and R, and how to use them for data analysis, including data manipulation, statistical modeling, and data mining. •
Data Journalism Tools and Software: This unit covers the various tools and software used in data journalism, including data management platforms, content management systems, and social media analytics tools. •
Data Ethics and Governance: This unit examines the ethical considerations and governance issues in data journalism, including data protection, privacy, and transparency. •
Data-Driven Investigative Journalism: This unit teaches students how to use data to inform and support investigative journalism, including how to design and conduct data-driven investigations. •
Data Journalism for Digital News: This unit focuses on the specific challenges and opportunities of data journalism in the digital news environment, including how to work with online audiences and create engaging digital content. •
Data Visualization for Digital News: This unit explores the role of data visualization in digital news, including how to create interactive and dynamic visualizations, and how to use data visualization to tell stories and convey complex information.
Career path
| **Data Journalism Tools** | **Data Analysis** | **Data Visualization** | **Data Mining** | **Data Science** |
|---|---|---|---|---|
| Professionals with expertise in data journalism tools are in high demand, with a 15% share of the market. | Data analysts play a crucial role in extracting insights from large datasets, with a 30% market share. | Data visualization specialists create interactive and dynamic visualizations to communicate complex data insights, holding 20% of the market. | Data miners use advanced algorithms to uncover hidden patterns in data, with a 10% market share. | Data scientists apply statistical models to drive business decisions, with a 25% market share. |
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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