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Overview
In this Data Analysis with R Specialization offered by Coursera in partnership with Duke University, you will learn to analyze and visualize data in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modeling to understand natural phenomena and make data-based decisions, communicate statistical results correctly, effectively, and in context without relying on statistical jargon, critique data-based claims and evaluated data-based decisions, and wrangle and visualize data with R packages for data analysis.
Applied Learning Project
You will produce a portfolio of data analysis projects from the Specialization that demonstrates mastery of statistical data analysis from exploratory analysis to inference to modeling, suitable for applying for statistical analysis or data scientist positions.Programme Structure
Courses include:
Probability and Data
Inferential Statistics
Linear Regression
Modeling
Bayesian Statistics
Statistics with R Capstone
Key information
Duration
- Part-time
- 4 months
- 10 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
- Self-paced
Campus Location
- Mountain View, United States
Disciplines
Data Analytics View 176 other Short Courses in Data Analytics in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Beginner Level
- No prior experience required.
- This specialization is aimed at learners interested in data science who want to develop strong skills in analyzing, visualizing, and modeling data using R, including applying statistical inference and communicating data‑driven insights effectively.
Tuition Fees
Additional Details
Course is free for the first 7 days. After 7 days, the course can be accessed with the Coursera Plus Subscription
Funding
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