- Data Science
- Github
- Machine Learning
- R Programming
- Exploratory Data Analysis
Data Science: Foundations using R
Completed by Benedict Neo Yao En
November 19, 2020
Approximately 4 months at 10 hours a week to completeBenedict Neo Yao En's account is verified. Coursera certifies their successful completion of Johns Hopkins University Data Science: Foundations using R Specialization.
Course Certificates Completed
The Data Scientist’s Toolbox
Getting and Cleaning Data
Reproducible Research
R Programming
Exploratory Data Analysis
What you will learn
Use R to clean, analyze, and visualize data.
Learn how to ask the right questions, obtain data, and perform reproducible research.
Use GitHub to manage data science projects.
Skills you will gain
Course Certificates
Earned after completing each course in the Specialization
The Data Scientist’s Toolbox
Johns Hopkins University
Taught by: Jeff Leek, PhD, Roger D. Peng, PhD & Brian Caffo, PhD
Completed by: Benedict Neo Yao En by August 29, 2020
1-4 hours/week
Getting and Cleaning Data
Johns Hopkins University
Taught by: Jeff Leek, PhD, Roger D. Peng, PhD & Brian Caffo, PhD
Completed by: Benedict Neo Yao En by October 30, 2020
Reproducible Research
Johns Hopkins University
Taught by: Roger D. Peng, PhD, Jeff Leek, PhD & Brian Caffo, PhD
Completed by: Benedict Neo Yao En by November 19, 2020
4-9 hours/week
R Programming
Johns Hopkins University
Taught by: Roger D. Peng, PhD, Jeff Leek, PhD & Brian Caffo, PhD
Completed by: Benedict Neo Yao En by October 19, 2020
Exploratory Data Analysis
Johns Hopkins University
Taught by: Roger D. Peng, PhD, Jeff Leek, PhD & Brian Caffo, PhD
Completed by: Benedict Neo Yao En by November 12, 2020