Tidyverse Skills for Data Science in R
Master R programming with Tidyverse packages for data science. Learn importing, wrangling, visualization, and modeling through hands-on projects.
Master R programming with Tidyverse packages for data science. Learn importing, wrangling, visualization, and modeling through hands-on projects.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Tidyverse Skills for Data Science in R Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Organize and initialize complete data science projects from scratch
Import data from various formats including spreadsheets and APIs
Transform messy data into tidy datasets using Tidyverse tools
Create professional data visualizations with ggplot2
Build and evaluate predictive machine learning models
Develop skills in data manipulation and analysis
Skills you'll gain
This course includes:
80 Hours PreRecorded video
Projects in each course
Access on Mobile, Desktop
FullTime access
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There are 5 courses in this program
Study Designs in Epidemiology
Course 1 · 8 Hours to complete · 4 modules
Financial Statements
Course 2 · 2 Hours to complete · 2 modules
Validity and Bias in Epidemiology
Course 3 · 7 Hours to complete · 4 modules
Public Health: Understanding & Changing Behaviors
Course 4 · 16 Hours to complete · 4 modules
Risk Management and Financial Theory
Course 5 · 3 Hours to complete · 3 modules
Fee Structure
Payment options
Financial Aid
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