- Data Science
- Github
- Machine Learning
- R Programming
- Exploratory Data Analysis
Data Science: Foundations using R
Completed by Roman Kornyliuk
May 10, 2020
Approximately 4 months at 10 hours a week to completeRoman Kornyliuk's account is verified. Coursera certifies their successful completion of Johns Hopkins University Data Science: Foundations using R Specialization.
Course Certificates Completed
Getting and Cleaning Data
Exploratory Data Analysis
R Programming
Reproducible Research
The Data Scientist’s Toolbox
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
Getting and Cleaning Data
Johns Hopkins University
Taught by: Jeff Leek, PhD, Roger D. Peng, PhD & Brian Caffo, PhD
Completed by: Roman Kornyliuk by May 5, 2020
Exploratory Data Analysis
Johns Hopkins University
Taught by: Roger D. Peng, PhD, Jeff Leek, PhD & Brian Caffo, PhD
Completed by: Roman Kornyliuk by May 9, 2020
R Programming
Johns Hopkins University
Taught by: Roger D. Peng, PhD, Jeff Leek, PhD & Brian Caffo, PhD
Completed by: Roman Kornyliuk by May 4, 2020
Reproducible Research
Johns Hopkins University
Taught by: Roger D. Peng, PhD, Jeff Leek, PhD & Brian Caffo, PhD
Completed by: Roman Kornyliuk by May 10, 2020
4-9 hours/week
The Data Scientist’s Toolbox
Johns Hopkins University
Taught by: Jeff Leek, PhD, Roger D. Peng, PhD & Brian Caffo, PhD
Completed by: Roman Kornyliuk by May 2, 2020
1-4 hours/week