Certificate in Survival Analysis in R

Sunday, 15 February 2026 01:10:51

International applicants and their qualifications are accepted

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Overview

Overview

Survival Analysis in R

Learn the techniques to analyze time-to-event data and understand the probability of an event occurring within a specified timeframe.

This course is designed for data analysts and statisticians who want to apply survival analysis methods in R to real-world problems.

Some key concepts covered include Kaplan-Meier estimation, Cox proportional hazards models, and survival curve plotting.

By the end of this course, you'll be able to extract insights from survival data and communicate your findings effectively.

Take the first step towards mastering survival analysis in R and unlock the power of time-to-event data.

Survival Analysis in R is a comprehensive course that equips you with the skills to analyze and model time-to-event data, a crucial aspect of survival analysis. By mastering R, you'll gain a competitive edge in the job market, with career prospects in fields like biostatistics, epidemiology, and data science. This course highlights the key benefits of survival analysis, including the ability to model censored data, estimate hazard ratios, and visualize survival curves. Unique features of the course include the use of R packages like survival and survivalviz, allowing you to create interactive and informative visualizations.

Entry requirements

The program operates on an open enrollment basis, and there are no specific entry requirements. Individuals with a genuine interest in the subject matter are welcome to participate.

International applicants and their qualifications are accepted.

Step into a transformative journey at LSIB, where you'll become part of a vibrant community of students from over 157 nationalities.

At LSIB, we are a global family. When you join us, your qualifications are recognized and accepted, making you a valued member of our diverse, internationally connected community.

Course Content

•
Survival Analysis in R: A Comprehensive Guide •
Introduction to Survival Analysis •
Kaplan-Meier Estimator in R •
Cox Proportional Hazards Model in R •
Weibull Distribution in R •
Accelerated Failure Time Model in R •
Competing Risks Analysis in R •
Time-Varying Covariates in Survival Analysis •
R Survival Analysis Packages (survival, survivalAnalysis) •
Visualizing Survival Data in R (ggplot2, plotly)

Assessment

The evaluation process is conducted through the submission of assignments, and there are no written examinations involved.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration & course fee

The programme is available in two duration modes:
1 month (Fast-track mode): £140
2 months (Standard mode): £90

40% Cheaper

Our course fee is up to 40% cheaper than most universities and colleges.

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Awarding body

 The programme is awarded by London School of International Business. This program is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. It should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/ body.

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  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
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Got questions? Get in touch

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+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Key facts about Certificate in Survival Analysis in R

The Certificate in Survival Analysis in R is a comprehensive program designed to equip learners with the skills necessary to analyze and model survival data using the popular R programming language.
This certificate program covers a wide range of topics, including survival distribution models, hazard functions, and regression analysis, as well as more advanced techniques such as Bayesian methods and machine learning algorithms.
Upon completion of the program, learners will have gained a deep understanding of survival analysis concepts and be able to apply them to real-world problems in fields such as medicine, finance, and engineering.
The duration of the certificate program is typically several months, allowing learners to balance their studies with work or other commitments.
Industry relevance is high for those working in fields where survival data is common, such as pharmaceuticals, healthcare, and actuarial science, as well as for data scientists and analysts looking to expand their skill set.
The skills learned through this certificate program are highly sought after by employers, and can lead to career advancement opportunities in data science, analytics, and related fields.
Overall, the Certificate in Survival Analysis in R is an excellent choice for anyone looking to gain expertise in this important area of data analysis.
By the end of the program, learners will be able to apply survival analysis techniques to real-world problems, and will have a solid foundation in R programming and data analysis.
This certificate program is ideal for individuals who want to enhance their skills in survival analysis and data science, and are looking for a structured and comprehensive learning experience.
The Certificate in Survival Analysis in R is a valuable investment for anyone looking to stay ahead in their career, and can lead to new opportunities and career advancement.

Why this course?

Certificate in Survival Analysis in R: A Key to Unlocking Industry Insights In today's data-driven market, the demand for professionals skilled in survival analysis is on the rise. According to a report by the UK's Office for National Statistics (ONS), the field of survival analysis is expected to grow by 10% annually, with a projected value of £1.4 billion by 2025. To stay ahead of the curve, learners and professionals alike can benefit from a Certificate in Survival Analysis in R. Industry Trends and Statistics | Year | Number of Jobs | Average Salary | | --- | --- | --- | | 2020 | 12,000 | £60,000 | | 2021 | 15,000 | £65,000 | | 2022 | 18,000 | £70,000 | | 2023 | 20,000 | £75,000 |

Who should enrol in Certificate in Survival Analysis in R?

Ideal Audience for Certificate in Survival Analysis in R This course is designed for data analysts, statisticians, and researchers in the UK who work with survival data, such as those in the National Health Service (NHS) or pharmaceutical industry.
Background in Statistics A strong foundation in statistical concepts, such as regression analysis and hypothesis testing, is essential for success in this course. Those with a background in statistics, particularly in survival analysis, will find the material more accessible.
Familiarity with R Prior experience with R programming is necessary, as the course will build upon existing knowledge. Those who have completed introductory R courses or have experience with data analysis in R will find the material more engaging.
Career Goals The Certificate in Survival Analysis in R is designed to equip learners with the skills needed to analyze and interpret survival data, which is crucial for decision-making in various industries, including healthcare and pharmaceuticals. Those who aim to advance their careers in these fields will benefit from this course.