Global Certificate in Google News: Data & Decisions

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The Global Certificate in Google News: Data & Decisions is a comprehensive course that empowers learners with essential skills for career advancement in the data-driven journalism industry. This program focuses on harnessing the power of Google tools and platforms to deliver insightful news stories, make informed decisions, and drive audience engagement.

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In an era where data literacy is vital, this course equips learners with in-demand skills, such as data collection, analysis, and visualization using Google Sheets, Google Data Studio, and other relevant tools. By the end of this program, learners will be able to craft compelling narratives, enhance their critical thinking abilities, and stay ahead in the competitive journalism landscape. The Google News: Data & Decisions certificate course is not only important for journalists but also for communications professionals, content creators, and marketing specialists seeking to leverage data to make better decisions, tell engaging stories, and advance their careers.

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โ€ข Unit 1: Introduction to Google News & Data Journalism
โ€ข Unit 2: Leveraging Google Trends for Data-Driven Stories
โ€ข Unit 3: Google Search Console for News Data Analysis
โ€ข Unit 4: Google Sheets for Data Visualization in Journalism
โ€ข Unit 5: Google News Lab: Data Journalism Tools & Techniques
โ€ข Unit 6: Advanced Data Analysis with Google BigQuery
โ€ข Unit 7: Storytelling with Data in Google News
โ€ข Unit 8: Ethics & Best Practices in Data Journalism
โ€ข Unit 9: Case Studies: Successful Google News Data Projects
โ€ข Unit 10: Expert Interviews: Insights from Data Journalists & Industry Professionals

่Œไธš้“่ทฏ

The Global Certificate in Google News: Data & Decisions prepares professionals for diverse roles in the UK's thriving data industry. This section features a 3D pie chart that highlights the job market trends and skill demand for these positions. 1. Data Analyst: With a 30% share, data analysts are in high demand due to their ability to interpret complex datasets and convert them into actionable insights. 2. Data Scientist: Accounting for 25% of the market, data scientists have strong mathematical, statistical, and programming skills to uncover hidden patterns and trends. 3. Machine Learning Engineer: Making up 20% of the data jobs, machine learning engineers develop and implement algorithms for predictive models and automation. 4. Business Intelligence Developer: Representing 15% of the market, business intelligence developers create data visualizations and reports to aid in decision-making processes. 5. Data Engineer: With a 10% share, data engineers build and maintain data systems, ensuring data quality and availability for analytics and machine learning applications. This responsive 3D pie chart is generated using Google Charts, illustrating the growth and importance of data-driven roles in today's digital landscape.

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GLOBAL CERTIFICATE IN GOOGLE NEWS: DATA & DECISIONS
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London School of International Business (LSIB)
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05 May 2025
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