Postgraduate Certificate in Survival Analysis with R

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The Postgraduate Certificate in Survival Analysis with R is a comprehensive course that equips learners with critical skills in statistical analysis and data modeling. This certification focuses on survival analysis, a crucial aspect of data science, which investigates the expected duration of time until one or more events happen.

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AboutThisCourse

With the increasing industry demand for data scientists and analysts, this course provides learners with a competitive edge by teaching them how to use R, a popular and powerful programming language for statistical computing. Learners will gain hands-on experience in analyzing and visualizing survival data, which is essential for career advancement in various industries such as healthcare, finance, and technology. By the end of this course, learners will have the skills to model complex survival data, interpret results, and effectively communicate their findings. This knowledge is highly sought after in today's data-driven economy, making this certificate course a valuable investment for professionals looking to advance their careers in data science and analytics.

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โ€ข Introduction to Survival Analysis with R &br; โ€ข Hazard Functions and Survival Curves in R &br; โ€ข Censoring and Truncation in Survival Analysis &br; โ€ข Non-parametric Survival Analysis with Kaplan-Meier Estimates &br; โ€ข Parametric Survival Models in R &br; โ€ข Cox Proportional Hazards Models &br; โ€ข Model Selection and Validation in Survival Analysis &br; โ€ข Time-dependent Covariates and Time-varying Hazards &br; โ€ข Competing Risks and Multi-state Models &br; โ€ข Advanced Topics in Survival Analysis with R &br>

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  • 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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  • TwoThreeHoursPerWeek
  • RegularCertificateDelivery
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POSTGRADUATE CERTIFICATE IN SURVIVAL ANALYSIS WITH R
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London School of International Business (LSIB)
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05 May 2025
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