Masterclass Certificate in PR Survey Data Science

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The Masterclass Certificate in PR Survey Data Science is a comprehensive course designed to meet the growing industry demand for PR professionals with data science skills. This program emphasizes the importance of data-driven decision making in public relations and provides learners with essential skills to excel in this area.

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AboutThisCourse

In this course, you will learn how to design and implement effective PR surveys, analyze and interpret survey data, and communicate insights to stakeholders. You will also gain hands-on experience with industry-standard tools and techniques, including survey software, statistical analysis, and data visualization. By earning this certificate, you will demonstrate your expertise in PR survey data science and position yourself for career advancement in this rapidly evolving field. Whether you're a seasoned PR professional looking to enhance your skills or a newcomer seeking to break into the industry, this course will provide you with the knowledge and tools you need to succeed.

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CourseDetails

โ€ข Unit 1: Introduction to PR Survey Data Science
โ€ข Unit 2: PR Survey Design and Methodology
โ€ข Unit 3: Data Collection Techniques in PR Surveys
โ€ข Unit 4: Data Cleaning and Pre-processing
โ€ข Unit 5: Statistical Analysis of PR Survey Data
โ€ข Unit 6: Data Visualization in PR
โ€ข Unit 7: Interpreting PR Survey Results
โ€ข Unit 8: Communicating PR Survey Findings
โ€ข Unit 9: Ethics in PR Survey Data Science
โ€ข Unit 10: Case Studies in PR Survey Data Science

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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
  • RegularCertificateDelivery
  • OpenEnrollmentStartAnytime
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  • DigitalCertificate
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MASTERCLASS CERTIFICATE IN PR SURVEY DATA SCIENCE
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London School of International Business (LSIB)
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05 May 2025
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