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  2. Survival Analysis

Survival Analysis Courses

Survival analysis courses can help you learn techniques for estimating life expectancy, analyzing time-to-event data, and understanding hazard functions. You can build skills in censoring techniques, Kaplan-Meier estimators, and Cox proportional hazards modeling. Many courses introduce tools like R and Python for statistical computing, along with software for visualizing survival curves and interpreting results in various contexts, such as healthcare and engineering.

Popular Survival Analysis Courses and Certifications


  • I

    Imperial College London

    Survival Analysis in R for Public Health

    Skills you'll gain: Statistical Analysis, R (Software), R Programming, Data Wrangling, Regression Analysis, Exploratory Data Analysis, Data Analysis, Logistic Regression, Probability & Statistics, Statistical Modeling, Statistical Hypothesis Testing, Descriptive Statistics, Model Evaluation, Public Health

    4.5 stars, 331 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.5 (331) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • I

    IBM

    Specialized Models: Time Series and Survival Analysis

    Skills you'll gain: Time Series Analysis and Forecasting, Deep Learning, Statistical Analysis, Forecasting, Statistical Machine Learning, Data Cleansing, Data Transformation, Unsupervised Learning, Dimensionality Reduction

    4.5 stars, 147 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.5 (147) · Intermediate · Course · 1 - 4 Weeks

  • I

    Imperial College London

    Statistical Analysis with R for Public Health

    Skills you'll gain: Logistic Regression, Correlation Analysis, Regression Analysis, Sampling (Statistics), Statistical Hypothesis Testing, Statistical Analysis, R (Software), Data Analysis, R Programming, Descriptive Statistics, Statistical Software, Statistical Modeling, Model Evaluation, Probability & Statistics, Statistical Methods, Data Analysis Software, Data Wrangling, Statistics, Public Health, Statistical Inference

    4.7 stars, 2.1K reviews, Beginner, Specialization, 3 - 6 Months

    ★ 4.7 (2.1K) · Beginner · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • G

    Google

    Regression Analysis: Simplify Complex Data Relationships

    Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Logistic Regression, Statistical Analysis, Data Analysis, Statistical Methods, Correlation Analysis, Predictive Modeling, Statistical Modeling, Machine Learning, Model Evaluation, Variance Analysis, Python Programming

    4.7 stars, 612 reviews, Advanced, Course, 1 - 3 Months

    ★ 4.7 (612) · Advanced · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • T

    The State University of New York

    Practical Time Series Analysis

    Skills you'll gain: Time Series Analysis and Forecasting, R (Software), Forecasting, R Programming, Statistical Analysis, Model Evaluation, Data Analysis, Statistical Visualization, Mathematical Modeling, Statistical Modeling, Correlation Analysis, Descriptive Statistics, Statistical Inference

    4.6 stars, 1.7K reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.6 (1.7K) · Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
  • U

    University of Colorado Boulder

    BiteSize Stats: Correlation and Regression Analysis

    Skills you'll gain: Regression Analysis, Statistical Methods, Correlation Analysis, Statistical Hypothesis Testing, Statistical Inference, Statistical Modeling, Statistical Analysis, Probability & Statistics, Statistics, Predictive Modeling, Analysis, Scatter Plots, Model Evaluation, Estimation, Sampling (Statistics)

    Mixed · Course · 1 - 3 Months

    Category: New
    New
    Status: Free trial
    Free trial
  • What brings you to Coursera today?

  • J

    Johns Hopkins University

    Multiple Regression Analysis in Public Health

    Skills you'll gain: Biostatistics, Regression Analysis, Logistic Regression, Statistical Methods, Public Health, Probability & Statistics, Statistical Analysis, Statistical Inference, Statistical Modeling, Predictive Modeling, Data Analysis

    4.8 stars, 333 reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.8 (333) · Beginner · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • R

    Rice University

    Business Statistics and Analysis

    Skills you'll gain: Statistical Hypothesis Testing, Microsoft Excel, Pivot Tables And Charts, Regression Analysis, Statistics, Descriptive Statistics, Probability & Statistics, Graphing, Spreadsheet Software, Probability Distribution, Statistical Analysis, Statistical Modeling, Statistical Inference, Excel Formulas, Business Analytics, Data Analysis, Data Presentation, Model Evaluation, Statistical Methods, Sample Size Determination

    4.7 stars, 13K reviews, Beginner, Specialization, 3 - 6 Months

    ★ 4.7 (13K) · Beginner · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • S

    Sage Publications

    Applied Statistics Using Stata

    Skills you'll gain: Time Series Analysis and Forecasting, Stata, Logistic Regression, STATA (Software), Quantitative Research, Regression Analysis, Descriptive Statistics, Forecasting, Exploratory Data Analysis, Data Entry, Statistical Inference, Statistical Methods, Probability & Statistics, Statistical Analysis, Statistical Modeling, Statistical Programming, Data Import/Export, Data Transformation, Statistical Reporting, Data Analysis

    Intermediate · Specialization · 3 - 6 Months

    Category: New
    New
    Status: Free trial
    Free trial
  • M

    Macquarie University

    Statistics and Data Analysis with Excel

    Skills you'll gain: Data Visualization, Statistical Inference, Statistical Hypothesis Testing, Data-Driven Decision-Making, Descriptive Statistics, Statistical Analysis, Statistical Methods, Sampling (Statistics), Excel Formulas, Spreadsheet Software, Box Plots, Time Series Analysis and Forecasting, Data Analysis Software, Statistical Modeling, Advanced Analytics, Financial Forecasting, Probability Distribution, Descriptive Analytics, Variance Analysis, Predictive Modeling

    4.6 stars, 145 reviews, Beginner, Specialization, 3 - 6 Months

    ★ 4.6 (145) · Beginner · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • C

    Coursera

    Root Cause Analysis: Principles and Benefits

    Skills you'll gain: Root Cause Analysis, Operational Efficiency, Continuous Improvement Process, Quality Improvement, Product Quality (QA/QC), Process Improvement, Operational Excellence, Critical Thinking and Problem Solving, Complex Problem Solving, Critical Thinking

    4.5 stars, 119 reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.5 (119) · Beginner · Course · 1 - 4 Weeks

    Category: Preview
    Preview
  • E

    EDUCBA

    Data Analysis and Reporting: Excel, QuickSight, and SSRS

    Skills you'll gain: SQL Server Reporting Services, Data Visualization, Dashboard, Dashboard Creation, Interactive Data Visualization, Data Presentation, Microsoft Excel, Excel Macros, Data Visualization Software, Excel Formulas, Microsoft SQL Servers, Business Reporting, Business Intelligence, SQL, Data Analysis, Analytics, Automation, Analysis, Business, Design

    4.7 stars, 17 reviews, Beginner, Specialization, 1 - 3 Months

    ★ 4.7 (17) · Beginner · Specialization · 1 - 3 Months

    Category: New
    New
    Status: Free trial
    Free trial
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Best Survival Analysis courses from Imperial College London

Top-rated Survival Analysis courses offered by Imperial College London on Coursera.

  1. 1
    Survival Analysis in R for Public Health
    Imperial College LondonIntermediate1 - 4 Weeks4.5(331)Imperial College London
  2. 2
    Statistical Analysis with R for Public Health
    Imperial College LondonBeginner3 - 6 Months4.7(2,090)Imperial College London

Best Survival Analysis certificate programs

Earn a certificate in Survival Analysis from top universities and companies.

  1. 1
    Business Statistics and Analysis
    Rice UniversityBeginner3 - 6 Months4.7(12,747)Specialization
  2. 2
    Applied Statistics Using Stata
    Sage PublicationsIntermediate3 - 6 MonthsSpecialization
  3. 3
    Statistics and Data Analysis with Excel
    Macquarie UniversityBeginner3 - 6 Months4.6(145)Specialization

Best Survival Analysis courses for beginners

Top-rated beginner-friendly Survival Analysis courses with no prerequisites.

  1. 1
    Multiple Regression Analysis in Public Health
    Johns Hopkins UniversityBeginner1 - 4 Weeks4.8(333)No prerequisites
  2. 2
    Root Cause Analysis: Principles and Benefits
    CourseraBeginner1 - 4 Weeks4.5(119)No prerequisites
  3. 3
    Data Analysis and Reporting: Excel, QuickSight, and SSRS
    EDUCBABeginner1 - 3 Months4.7(17)No prerequisites

Frequently Asked Questions about Survival Analysis

Survival analysis is a statistical approach used to analyze the time until an event occurs, such as death, failure, or any other significant event. It is crucial in various fields, including healthcare, engineering, and social sciences, as it helps researchers and practitioners understand the factors influencing the timing of events. By estimating survival functions and hazard rates, survival analysis provides insights that can inform decision-making and improve outcomes.‎

Careers in survival analysis span multiple industries. Common job titles include biostatistician, data analyst, clinical researcher, and epidemiologist. Professionals in these roles often work with healthcare organizations, pharmaceutical companies, and research institutions, applying survival analysis techniques to study patient outcomes, treatment effectiveness, and risk factors. The demand for skilled analysts in this area continues to grow, making it a promising career path.‎

To excel in survival analysis, you should develop a strong foundation in statistics, particularly in concepts like probability distributions, regression models, and hypothesis testing. Proficiency in statistical software, such as R or Python, is essential for data manipulation and analysis. Additionally, understanding the context of your data‚Äîwhether in healthcare, engineering, or social sciences‚Äîwill enhance your ability to apply survival analysis effectively.‎

Some of the best online courses for survival analysis include Survival Analysis in R for Public Health and Specialized Models: Time Series and Survival Analysis. These courses provide practical skills and theoretical knowledge, allowing learners to apply survival analysis techniques in real-world scenarios.‎

Yes. You can start learning survival analysis on Coursera for free in two ways:

  1. Preview the first module of many survival analysis courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in survival analysis, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn survival analysis, start by enrolling in online courses that cover the fundamentals and applications of the topic. Engage with practical exercises and real-world datasets to reinforce your understanding. Additionally, consider joining online forums or study groups to discuss concepts and share insights with peers. Regular practice and application of techniques will enhance your skills over time.‎

Typical topics covered in survival analysis courses include survival functions, hazard functions, Kaplan-Meier estimators, Cox proportional hazards models, and competing risks. Courses may also explore the application of these concepts in various fields, such as healthcare and engineering, providing a comprehensive understanding of how to analyze time-to-event data.‎

For training and upskilling employees in survival analysis, consider courses like Survival Analysis in R for Public Health and Specialized Models: Time Series and Survival Analysis. These courses are designed to equip professionals with the necessary skills to apply survival analysis techniques effectively in their work environments.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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