- Data Analysis
- Probability & Statistics
- General Statistics
- Regression
- Statistical Programming
- Critical Thinking
- Probability Distribution
- Epidemiology
April 23, 2020
Approximately 1 months at 10 hours a week to completeMaruf Ahmed Bhuiyan 's account is verified. Coursera certifies their successful completion of Imperial College London Statistical Analysis with R for Public Health Specialization.
Course Certificates Completed
Introduction to Statistics & Data Analysis in Public Health
Linear Regression in R for Public Health
Logistic Regression in R for Public Health
Survival Analysis in R for Public Health
Recognise the key components of statistical thinking in order to defend the critical role of statistics in modern public health research and practice
Describe a given data set from scratch using descriptive statistics and graphical methods as a first step for more advanced analysis using R software
Apply appropriate methods in order to formulate and examine statistical associations between variables within a data set in R
Interpret the output from your analysis and appraise the role of chance and bias as explanations for your results
Earned after completing each course in the Specialization
Imperial College London
Taught by: Alex Bottle
Completed by: Maruf Ahmed Bhuiyan by April 11, 2020
2-5 hours/week
Imperial College London
Taught by: Alex Bottle & Victoria Cornelius
Completed by: Maruf Ahmed Bhuiyan by April 14, 2020
4 weeks of study 3-5 hours per week
Imperial College London
Taught by: Alex Bottle
Completed by: Maruf Ahmed Bhuiyan by April 16, 2020
3-5 hours/week
Imperial College London
Taught by: Alex Bottle
Completed by: Maruf Ahmed Bhuiyan by April 23, 2020
3-5 hours/week