- Data Science
- Github
- Machine Learning
- R Programming
- Exploratory Data Analysis
Data Science: Foundations using R
Completed by ALVARO DIAZ FALCONI
August 25, 2020
Approximately 4 months at 10 hours a week to completeALVARO DIAZ FALCONI's account is verified. Coursera certifies their successful completion of Johns Hopkins University Data Science: Foundations using R Specialization.
Course Certificates Completed
Exploratory Data Analysis
Getting and Cleaning Data
Reproducible Research
R Programming
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
Exploratory Data Analysis
Johns Hopkins University
Taught by: Roger D. Peng, PhD, Jeff Leek, PhD & Brian Caffo, PhD
Completed by: ALVARO DIAZ FALCONI by August 23, 2020
Getting and Cleaning Data
Johns Hopkins University
Taught by: Jeff Leek, PhD, Roger D. Peng, PhD & Brian Caffo, PhD
Completed by: ALVARO DIAZ FALCONI by August 24, 2020
Reproducible Research
Johns Hopkins University
Taught by: Roger D. Peng, PhD, Jeff Leek, PhD & Brian Caffo, PhD
Completed by: ALVARO DIAZ FALCONI by August 25, 2020
4-9 hours/week
R Programming
Johns Hopkins University
Taught by: Roger D. Peng, PhD, Jeff Leek, PhD & Brian Caffo, PhD
Completed by: ALVARO DIAZ FALCONI by August 23, 2020
The Data Scientist’s Toolbox
Johns Hopkins University
Taught by: Jeff Leek, PhD, Roger D. Peng, PhD & Brian Caffo, PhD
Completed by: ALVARO DIAZ FALCONI by August 19, 2020
1-4 hours/week