Global Certificate in Connected Data Journalism

Name: Global Certificate in Connected Data Journalism
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The Global Certificate in Connected Data Journalism is a comprehensive course that equips learners with essential skills to excel in the rapidly evolving field of data journalism. This certificate program highlights the importance of connecting data stories to real-world issues, fostering a deeper understanding of data-driven storytelling.

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AboutThisCourse

With the increasing demand for data-savvy journalists across various industries, this course offers a unique opportunity for learners to enhance their career prospects. The curriculum covers essential topics such as data acquisition, cleaning, analysis, and visualization, empowering learners to create compelling narratives from complex datasets. By completing this course, learners will develop a strong foundation in connected data journalism, setting them apart in a competitive job market. They will be able to apply their new skills to a variety of roles, including data journalist, researcher, and analyst, ensuring they remain at the forefront of this rapidly growing field.

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CourseDetails

• Introduction to Connected Data Journalism: Understanding the basics of data journalism and how it relates to connected data.
• Data Collection: Techniques for gathering data from various sources, including web scraping and APIs.
• Data Cleaning and Preparation: Cleaning and preparing data for analysis and visualization.
• Data Analysis: Analyzing data using statistical methods and data mining techniques.
• Data Visualization: Techniques for visualizing data using charts, graphs, and other visual aids.
• Linked Data and the Semantic Web: Understanding the principles of linked data and the semantic web, and how they can be used in journalism.
• Network Analysis: Analyzing networks of relationships between people, organizations, and other entities.
• Ethics in Connected Data Journalism: Ethical considerations when working with data and connected data.
• Storytelling with Connected Data: Techniques for telling stories with data and connected data.
• Advanced Topics in Connected Data Journalism: Exploring advanced topics in connected data journalism, such as natural language processing and machine learning.

Note: This is a sample list of units that could be included in a Global Certificate in Connected Data Journalism program. The actual units and topics covered may vary based on the specific curriculum and goals of the program.

CareerPath

The Global Certificate in Connected Data Journalism prepares professionals for diverse roles in the data-driven journalism industry. This section showcases the distribution of job opportunities in this space using a 3D pie chart that represents the latest market trends in the UK. The chart highlights the following roles: * Data Scientist * Data Analyst * Data Engineer * Business Intelligence Analyst * Data Journalist * Research Scientist * Other Displayed in a captivating 3D format, the chart offers valuable insights into the demand for each role, allowing professionals to make informed career decisions and focus on acquiring the most relevant skills. The data visualization is fully responsive, ensuring optimal display across various screen sizes.

EntryRequirements

BasicUnderstandingSubject
ProficiencyEnglish
ComputerInternetAccess
BasicComputerSkills
DedicationCompleteCourse

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FastTrack GBP £140

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AcceleratedLearningPath

ThreeFourHoursPerWeek
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StandardMode GBP £90

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FlexibleLearningPace

TwoThreeHoursPerWeek
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GLOBAL CERTIFICATE IN CONNECTED DATA JOURNALISM

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London School of International Business (LSIB)

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05 May 2025

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