About this Specialization

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
30%
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
Approximately 7 months to complete
Suggested pace of 3 hours/week
English
Learner Career Outcomes
30%
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
Approximately 7 months to complete
Suggested pace of 3 hours/week
English

There are 5 Courses in this Specialization

Course1

Course 1

Introduction to Probability and Data with R

4.7
stars
4,736 ratings
1,130 reviews
Course2

Course 2

Inferential Statistics

4.8
stars
2,039 ratings
382 reviews
Course3

Course 3

Linear Regression and Modeling

4.7
stars
1,508 ratings
278 reviews
Course4

Course 4

Bayesian Statistics

3.8
stars
741 ratings
240 reviews

Offered by

Placeholder

Duke University

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