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.
| From | Duke University via Coursera |
|---|---|
| Hours | 214 |
| Instructors | Mine Çetinkaya-Rundel, Mine Çetinkaya-Rundel, David Banks, Colin Rundel, Merlise A Clyde |
| Language | English |
| Subjects | Data Science Mathematics |
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Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
Institutional Research Specialist in Data Analysis $42k
Professional-Data Analysis - SQL $63k
Business and Data Analysis $67k
Data Management and Analysis Fellowship - CDC $68k
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Senior Data Analyst, Marketing & Analysis $77k
Data Scientist (Social Network Analysis) $84k
Analyst, R&D IT and Data Analysis Lead $88k
Data Management and Analysis Tech. $94k
Senior Data Analysis - ITSM Analyst $101k
Senior Data Analysis Engineer u2013 Engineering Data Analysis $149k
Data Architect - Financial Planning and Analysis $156k
Courses in this Specialization
Listed in the order in which they should be taken
| Starts | Course Information | |
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Jun |
Introduction to Probability and Data with R This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes' rule. You will examine various types of sampling methods, and discuss how... Coursera | Duke University |
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May |
This course covers commonly used statistical inference methods for numerical and categorical data. You will learn how to set up and perform hypothesis tests, interpret p-values,... Coursera | Duke University |
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Jun |
Linear Regression and Modeling This course introduces simple and multiple linear regression models. These models allow you to assess the relationship between variables in a data set and a continuous response... Coursera | Duke University |
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Jul |
This course describes Bayesian statistics, in which one's inferences about parameters or hypotheses are updated as evidence accumulates. You will learn to use Bayes’ rule to... Coursera | Duke University |
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Feb |
Statistics with R Capstone (You were viewing this course) The capstone project will be an analysis using R that answers a specific scientific/business question provided by the course team. A large and complex dataset will be provided to... Coursera | Duke University |
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| From | Duke University via Coursera |
|---|---|
| Hours | 214 |
| Instructors | Mine Çetinkaya-Rundel, Mine Çetinkaya-Rundel, David Banks, Colin Rundel, Merlise A Clyde |
| Language | English |
| Subjects | Data Science Mathematics |
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
Institutional Research Specialist in Data Analysis $42k
Professional-Data Analysis - SQL $63k
Business and Data Analysis $67k
Data Management and Analysis Fellowship - CDC $68k
Data Analyst, Marketing & Analysis $68k
Senior Data Analyst, Marketing & Analysis $77k
Data Scientist (Social Network Analysis) $84k
Analyst, R&D IT and Data Analysis Lead $88k
Data Management and Analysis Tech. $94k
Senior Data Analysis - ITSM Analyst $101k
Senior Data Analysis Engineer u2013 Engineering Data Analysis $149k
Data Architect - Financial Planning and Analysis $156k
Similar Courses
Sorted by relevance
