About this Specialization
This Specialization is intended for data scientists with some familiarity with the R programming language who are seeking to do data science using the Tidyverse family of packages. Through 5 courses, you will cover importing, wrangling, visualizing, and modeling data using the powerful Tidyverse framework. The Tidyverse packages provide a simple but powerful approach to data science which scales from the most basic analyses to massive data deployments. This course covers the entire life cycle of a data science project and presents specific tidy tools for each stage.
| From | Johns Hopkins University via Coursera |
|---|---|
| Hours | 151 |
| Instructors | Carrie Wright, PhD, Shannon Ellis, PhD, Stephanie Hicks, PhD, Roger D. Peng, PhD |
| Language | English |
| Subjects | Data Science Programming Mathematics |
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Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
AD, Data Science $47k
Associate Data Science Supervisor $55k
Science writer / data analyst $63k
Genomic Data Science Programmer $75k
Volunteer Director of Data Science $78k
Expert Data Science Supervisor $79k
Supervisor 1 Data Science Supervisor $91k
Guest Director of Data Science $101k
Data Science Architect $105k
Head of Data Science $131k
Assistant Director 1 of Data Science $133k
Owner Director of Data Science $149k
Courses in this Specialization
Listed in the order in which they should be taken
| Starts | Course Information | |
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Jul |
This course introduces a powerful set of data science tools known as the Tidyverse. The Tidyverse has revolutionized the way in which data scientists do almost every aspect of... Coursera | Johns Hopkins University |
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Jul |
Importing Data in the Tidyverse Getting data into your statistical analysis system can be one of the most challenging parts of any data science project. Data must be imported and harmonized into a coherent... Coursera | Johns Hopkins University |
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Jul |
Wrangling Data in the Tidyverse Data never arrive in the condition that you need them in order to do effective data analysis. Data need to be re-shaped, re-arranged, and re-formatted, so that they can be... Coursera | Johns Hopkins University |
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Jul |
Visualizing Data in the Tidyverse Data visualization is a critical part of any data science project. Once data have been imported and wrangled into place, visualizing your data can help you get a handle on what’s... Coursera | Johns Hopkins University |
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Jul |
Modeling Data in the Tidyverse Developing insights about your organization, business, or research project depends on effective modeling and analysis of the data you collect. Building effective models requires... Coursera | Johns Hopkins University |
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| From | Johns Hopkins University via Coursera |
|---|---|
| Hours | 151 |
| Instructors | Carrie Wright, PhD, Shannon Ellis, PhD, Stephanie Hicks, PhD, Roger D. Peng, PhD |
| Language | English |
| Subjects | Data Science Programming Mathematics |
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
AD, Data Science $47k
Associate Data Science Supervisor $55k
Science writer / data analyst $63k
Genomic Data Science Programmer $75k
Volunteer Director of Data Science $78k
Expert Data Science Supervisor $79k
Supervisor 1 Data Science Supervisor $91k
Guest Director of Data Science $101k
Data Science Architect $105k
Head of Data Science $131k
Assistant Director 1 of Data Science $133k
Owner Director of Data Science $149k
Similar Courses
Sorted by relevance
