Certificate in Data-First Startup Journalism

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The Certificate in Data-First Startup Journalism is a comprehensive course designed to equip learners with essential skills for success in the rapidly evolving field of data-driven journalism. This course focuses on the importance of data in startups and how journalists can use data to tell compelling stories that engage audiences and drive growth.

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In this age of information overload, there is a high demand for professionals who can sift through data, identify trends, and craft engaging narratives. This course is designed to meet that demand, providing learners with hands-on experience in data analysis, visualization, and storytelling. Learners will also gain an understanding of the business side of startups, including funding, growth strategies, and metrics. By the end of this course, learners will have a portfolio of data-driven stories and the skills needed to advance their careers in journalism, marketing, or entrepreneurship. They will be able to use data to tell compelling stories that drive engagement, inform decisions, and create impact.

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โ€ข Data-Driven Journalism Fundamentals: Understanding the basics of data-first journalism, including data collection, cleaning, and analysis.
โ€ข Finding and Evaluating Data: Techniques for locating reliable data sources, assessing their credibility, and ensuring ethical use.
โ€ข Data Visualization: Creating visually appealing and informative charts, graphs, and maps to present data in a compelling way.
โ€ข Statistical Analysis: Learning essential statistical methods to interpret and draw conclusions from data.
โ€ข Investigative Data Journalism: Utilizing data to uncover hidden stories, expose wrongdoing, and hold the powerful accountable.
โ€ข Data Ethics and Privacy: Understanding the ethical considerations around data use, privacy, and security in journalism.
โ€ข Data Storytelling: Transforming raw data into engaging narratives that resonate with readers.
โ€ข Working with APIs: Gaining hands-on experience in accessing and using Application Programming Interfaces (APIs) to gather data.
โ€ข Data Journalism Tools and Software: Familiarizing with popular data journalism tools and software, such as Excel, R, and Tableau.
โ€ข Collaborative Data Journalism: Exploring the benefits and challenges of collaborative data journalism, and best practices for working in teams.

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ๆœฌ่ฏพ็จ‹ไธบ่Œไธšๅ‘ๅฑ•ๆไพ›ๅฎž็”จ็š„็Ÿฅ่ฏ†ๅ’ŒๆŠ€่ƒฝใ€‚ๅฎƒๆ˜ฏ๏ผš

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ๆˆๅŠŸๅฎŒๆˆ่ฏพ็จ‹ๅŽ๏ผŒๆ‚จๅฐ†่Žทๅพ—็ป“ไธš่ฏไนฆใ€‚

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่ฏพ็จ‹่ดน็”จ

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CERTIFICATE IN DATA-FIRST STARTUP JOURNALISM
ๆŽˆไบˆ็ป™
ๅญฆไน ่€…ๅง“ๅ
ๅทฒๅฎŒๆˆ่ฏพ็จ‹็š„ไบบ
London School of International Business (LSIB)
ๆŽˆไบˆๆ—ฅๆœŸ
05 May 2025
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