About this Specialization

53,844 recent views
In this Specialization, 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. 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.
Learner Career Outcomes
31%
Started a new career after completing this specialization.
17%
Got a pay increase or promotion.
Shareable Certificate
Earn a Certificate upon completion
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Set and maintain flexible deadlines.
Beginner Level
Approx. 7 months to complete
Suggested 3 hours/week
English
Learner Career Outcomes
31%
Started a new career after completing this specialization.
17%
Got a pay increase or promotion.
Shareable Certificate
Earn a Certificate upon completion
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Set and maintain flexible deadlines.
Beginner Level
Approx. 7 months to complete
Suggested 3 hours/week
English

There are 5 Courses in this Specialization

Course1

Course 1

Introduction to Probability and Data with R

4.7
stars
4,548 ratings
1,079 reviews
Course2

Course 2

Inferential Statistics

4.8
stars
1,958 ratings
364 reviews
Course3

Course 3

Linear Regression and Modeling

4.7
stars
1,460 ratings
263 reviews
Course4

Course 4

Bayesian Statistics

3.8
stars
728 ratings
235 reviews

Offered by

Placeholder

Duke University

Frequently Asked Questions

More questions? Visit the Learner Help Center.