Coursera R Programming Courses

Data Science Specialization (Specialization Course)

Clinical Data Science Specialization (Specialization Course)

Data Science at Scale Specialization (Specialization Course)

Genomic Data Science Specialization (Specialization Course)

Interaction Design Specialization (Specialization Course)

Mastering Software Development in R Specialization (Specialization Course)

Methods and Statistics in Social Sciences Specialization (Specialization Course)

Survey Data Collection and Analytics Specialization (Specialization Course)

Strategic Business Analytics Specialization (Specialization Course)

Statistics with R Specialization (Specialization Course)

Просто о статистике (с использованием R) Specialization (Specialization Course)

Basic Statistics (Common Course)

Big Data, Genes, and Medicine (Common Course)

Data Science at Scale - Capstone Project (Common Course)

Data Science Capstone (Common Course)

Developing Data Products (Common Course)

Exploratory Data Analysis (Common Course)

Experimentation for Improvement (Common Course)

Foundations of strategic business analytics (Common Course)

Getting and Cleaning Data (Common Course)

Inferential Statistics (Common Course)

Introduction to Neurohacking In R (Common Course)

Reproducible Research (Common Course)

Social Media Data Analytics (Common Course)

The Data Scientist’s Toolbox (Common Course)

Знакомство с R и базовая статистика (Common Course)

Линейная регрессия (Common Course)

Линейные модели с дискретными предикторами (Common Course)

Обобщенные линейные модели (Common Course)

Эконометрика (Econometrics) (Common Course)

The R Programming Environment (Common Course)

Statistics with R Capstone (Common Course)

Statistics for Genomic Data Science (Common Course)

R Programming (Common Course)

Practical Predictive Analytics: Models and Methods (Common Course)

Practical Machine Learning (Common Course)

Logistic Regression in R for Public Health (Common Course)

Linear Regression in R for Public Health (Common Course)

Linear Regression and Modeling (Common Course)

Introduction to Statistics & Data Analysis in Public Health (Common Course)

Introduction to Probability and Data (Common Course)

Introducción a Data Science: Programación Estadística con R (Common Course)

Designing, Running, and Analyzing Experiments (Common Course)

Building R Packages (Common Course)

Building Data Visualization Tools (Common Course)

Bioconductor for Genomic Data Science (Common Course)

Bayesian Statistics: From Concept to Data Analysis (Common Course)

Bayesian Statistics: Techniques and Models (Common Course)

Bayesian Statistics (Common Course)

Advanced R Programming (Common Course)

Advanced Linear Models for Data Science 1: Least Squares (Common Course)